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To build a successful career in finance, having the right skills and knowledge is crucial. It provides you with skills to stay ahead in a competitive environment. But choosing the best financial modeling courses can be challenging, with so many options.

These online financial modeling courses cover financial statement analysis, building models from scratch, and valuation techniques. Additionally, these courses help you gain the practical skills required in the professional world. To help you succeed in your finance career, we have curated a list of the best financial modeling courses for 2023. Whether your aim is investment banking or corporate finance, these online courses will equip you with the skills and expertise.

Best Online Financial Modeling Courses with Certificate

The Business and Financial Modeling Specialization by the Wharton School of the University of Pennsylvania on Coursera. It is a highly respected program and the best course for financial modeling. It equips you with practical financial modeling, data analysis, and decision-making skills.

The course is for learners with varying experience in finance and modeling. One of the prime USPs of this course is that instructors use a combination of videos, readings, quizzes, and assignments to help you develop your skills.

This fintech course suit professionals from diverse fields and cover basic statistics, financial statement analysis, financial forecasting, and risk analysis. With practical financial modelling, data analysis, and decision-making abilities, you can follow a variety of career options in finance and accounting.

You can follow various professional routes in accounting and finance once you have completed this course. Investment banking, corporate finance, consultancy, and asset management are all viable career options.

Topics Covered:

Fundamentals of Quantitative Modeling.

Decision-Making and Scenarios.

Modeling Risk and Realities.

Wharton Business and Financial Modeling Capstone.

Key Features:

Practical financial modeling skills.

Flexible and suitable for professionals from diverse fields.

100% Shareable Certification upon completion.

Interact with a global community of learners.

Available in English with subtitles in multiple languages.

👍 Pros 👎 Cons

Comprehensive financial modeling and analytics coverage by experts. Requires significant time commitment, which can be challenging.

Hands-on experience to better use Microsoft Excel. Heavy reliance on Microsoft Excel.

Applicable to various business contexts and careers. Assumes some prior knowledge in finance or accounting.

Beginner to Pro in Excel is an online course offered by Udemy that helps you develop your financial modeling skills using Microsoft Excel. The course is from 365 Careers, a well-known provider of finance and accounting courses. It is one of the best financial modelling courses.

More than 300 lectures totaling 150 hours of material make up the course. It has activities, quizzes, and video lectures. The course content is simple to learn using case studies and real-world examples. It offers useful knowledge about financial modelling.

This will assist you in understanding financial modelling and is regarded as one of the best Excel financial modelling courses. You will be able to create professional-grade financial models in Excel. Additionally, the topics will cover financial statement analysis, forecasting, building financial models from scratch, and valuation techniques. Upon successful completion, you will earn a certificate that will help you get better opportunities.

Topics Covered:

Introduction to Excel.

Financial Functions.

Business analysis techniques applied in Excel.

Financial modeling fundamentals.

Introduction to company valuation.

Introduction to Capital budgeting.

Key Features:

Great for beginners and professionals.

Taught by 365 Careers.

Includes 300+ lectures and 15+ hours of content.

Real-life Examples and case studies.

Offers a certificate of completion from Udemy.

👍 Pros 👎 Cons

Focuses on imparting in-depth financial modelling knowledge to the learners.

Suitable for beginners and professionals. No direct interaction with the instructor.

Practical examples and case studies are available.

Financial Modeling for Startups & Small Businesses is the one of the best financial modeling courses offered by Udemy. It focuses on financial modeling for small businesses and startups.

Evan Kimbrell and Symon He are the instructors. Entrepreneur and business consultant with extensive expertise, Evan. Famous author, entrepreneur, and MBA graduate, Symon is also a businessman.

The training emphasizes investor presentation decks, forecasting, budgeting, financial statements, and valuation. It is intended for entrepreneurs, owners of small firms, and anybody else interested in understanding financial modelling for SMEs.

This financial modeling specialization program includes seven practical case studies. Each focuses on a specific financial model and covers various types of businesses, such as SAAS and physical product businesses. The case studies provide a hands-on learning experience to apply your knowledge in real-world scenarios.

The highly practical course will help you create professional-grade financial models. You will earn a certificate after the successful course to showcase your acquired skills.

Topics Covered:

Modeling best practices.

Modeling growth and revenue.

Modeling startup costs and expenses.

Case Studies.

Key Features:

Focuses on financial modeling in terms of multiple business scenarios.

Covers financial statements, forecasting, budgeting, valuation, and investor pitch decks.

Taught by Evan Kimbrell and Symon He.

Includes 92 lectures and over 10 hours of content.

Offers practical insights based on real-world scenarios.

👍 Pros 👎 Cons

Suitable for entrepreneurs and small business owners. It may not be the right course for intermediate to some extent.

Includes practical tips and insights. No direct interaction with the instructor.

Comprehensive coverage of financial modeling for small businesses. Focuses solely on financial modeling for small businesses.

The best course for financial modelling is Wharton Business and Financial Modeling Capstone from Coursera Learning, since most professionals can benefit from it. This is for you if you wish to pursue a profession in the area. Richard Lambert, a professor of Finance at University of Pennsylvania and a researcher, is the instructor for this financial modelling course available on Coursera.

A range of models, including financial statements, investment banking, M&A, buyout, and DCF models, are used throughout the course to provide students with a broad understanding of financial modelling. Business, finance, and accounting professionals interested in learning about financial modeling should take this course.

The practical course provides the skills you need to create professional-grade financial models. The course material includes real-life examples and case studies, which provide practical insights into financial modeling.

Topics Covered:

Financial Modeling Basics.

Yahoo Finance

Creating an optimal risky portfolio on the efficient frontier

Optional exercise using CAPM tables

Creating Your Asset Allocation & Final Presentation

Building and Maintaining Models.

Key Features:

Covers financial modeling fundamentals.

Suitable for business, finance, and accounting professionals.

Taught by Richard Lambert, a finance professor and financial modeling expert.

Includes Course Videos & Readings, Practice Quizzes & Graded Quizzes with Feedback

👍 Pros 👎 Cons

Designed to help gain a wide range of skills.

Offers practical insights through real-life examples and case studies. Limited interaction with the instructor.

Self-paced learning of financial modeling foundation with no time constraints.

The program consists of 39 courses that cover a wide range of topics. The common ones include financial modeling, valuation, budgeting and forecasting, Excel skills, and more. Of these, 15 must learn financial modeling. The rest are electives.

Industry experts teach the FMVA® program. It features over 100 hours of interactive video content, quizzes, and tests to reinforce learning. Upon completing the program, you will earn a prestigious FMVA® certification recognized by top employers and institutions worldwide.

Scott Powell, Jeff Schmidt, Duncan McKeen, and Tim Vipond are the instructors for the course. Entrepreneur Tim serves as CFI Education’s board chair. Director of Content at CFI is Scott Powell. Both financial modelling and EVP are areas of expertise for Duncan.

With lifetime access to the program and support, you can improve their competency levels across the accounting and finance spectrum.

Topics Covered:

Prep Courses: To build the fundamental.

Core Courses: To have a strong base in financial modeling and valuation.

Key Features:

8 optional prep courses to review fundamentals.

12 core courses to build a strong financial modeling and valuation foundation.

FMVA® final exam to earn program certification with a minimum passing grade of 70%.

Learn how to structure models to instill stakeholder confidence.

Improve competency levels across the accounting and finance spectrum.

👍 Pros 👎 Cons

Expensive compared to other online courses.

Lifetime access to program and support. It requires a significant time commitment.

Offers you a certification that can add to your portfolio. It is not suitable for beginners with no prior experience in financial modeling.

Recognized by top employers and institutions.

One of the best courses available is called Financial Modeling: Build a Complete DCF Valuation Model on Udemy. The best online course available to learn financial modelling is this one. Enroll in this course if you want to learn how to evaluate a company and how to create a DCF model from the start.

Throughout the course, you will develop an in-depth understanding of the mechanics of DCF valuation. You will gain practical experience in building DCF models that reflect the real-world practices used by financial professionals. The course is highly dynamic and interactive, with a strong emphasis on learning by doing.

Topics Covered:

Forecasting of key P&L items and key Balance Sheet.

Introducing weighted average cost of capital and perpetuity growth rate.

Calculating continuing value and the enterprise value of the business.

Key Features:

5+ hours of on-demand video content.

Financial modeling online course with 134 downloadable resources.

Lifetime access to course material.

Quizzes and assignments to reinforce learning.

Learn financial statement analysis, forecasting, and DCF modeling.

👍 Pros 👎 Cons

Taught by an industry expert. Some prior knowledge of finance and accounting may be helpful.

Interactive mode of learning through various modes.

Hands-on experience building a complete DCF model.

Allows users to use information in the future as well.

The course consists of 37sections and takes approximately 4 hours to complete. It is taught by industry experts, providing real-world insights and practical knowledge. The program also includes quizzes and exercises to reinforce key concepts and test understanding.

The best part of this course is that it is taught by multiple industry experts that help you gain insights into different domains. At the end of the course, you will get a certificate upon successful completion.

Topics Covered:

Become an expert in financial modeling with MS Excel

Financial Modeling Foundations.

Learn how to build a solid financial model

Financial Modeling and Forecasting Financial Statements.

Demonstrate excellent Excel skills at work

Corporate Financial Statement Analysis.

Managerial Economics.

Key Features:

Comprehensive and diversified curriculum to learn financial modelling.

Self-paced course taught by industry experts.

Best suited for professionals from diverse fields and beginners.

100% Shareable Certification upon completion.

Opportunity to learn and interact with a global community of learners.

👍 Pros 👎 Cons

Comprehensive coverage of financial analysis and modeling. Lack of personalized instruction and the need for self-motivation to complete the program.

High-quality instructors and the flexibility of online learning. No direct job placement or networking opportunities.

Financial Modeling in Excel by Irfan Sharif. He is a well-known financial modeling professional. Your grasp of financial modelling strategies will be deepened by taking this course. It covers all aspects of financial modelling in full of beginning to end, aiding in developing a successful career.

If you wish to excel in financial modeling courses, this course covers in-depth analysis and understanding of financial modeling and even quality assurance. You will learn to build financial models from scratch, analyze data, to make informed financial decisions.

The course is suitable for learners with some background in finance or accounting who want to improve their financial modeling skills.

Topics Covered:

Understanding Financial modeling.

Learn Basic Finance, Time Value of Money and DCF

Learn to prepare Financial Models in Excel

Learn all the key Accounting & Finance terms for Financial Modeling

Finalizing and Presenting Your Model.

Key Features:

Full lifetime access

Provides downloadable resources files for practice.

Suitable for learners with basic Excel skills.

👍 Pros 👎 Cons

Offers an in-depth understanding of modeling techniques.

Practical examples and downloadable exercise files to apply concepts. Learners may need additional resources to grasp the material fully.

Allows you to learn one of the most in-demand skills for finance graduates.

Additionally, the course covers the process of mergers and acquisitions, including deal structuring, financing, and post-merger integration. You will also explore the nuances of private equity and venture capital, including their investment, deal structures, and exit strategies.

This course is ideal for professionals who want to expand their knowledge of corporate finance and valuation. It is also good for those considering investment banking, private equity, or venture capital careers. You will get a certificate for successful completion at the end of the course.

Topics Covered:

Discounted Cash Flow Analysis.

Corporate Strategy.

Corporate Real Options.

Option Games.

Key Features:

Includes financial statement analysis, DCF, multiple analysis, and deal structuring.

Explores private equity and venture capital investment strategies and exit strategies.

Earn a certificate upon completion.

👍 Pros 👎 Cons

No direct interaction with instructors or peers.

Taught by experienced faculty from Erasmus University, Rotterdam. It may require prior knowledge of basic financial concepts.

Self-paced learning with quizzes and assignments.

FAQs

While a CFA designation can be beneficial, it is not always necessary for financial modeling courses. You can gain skills through self-study, online courses, or on-the-job training and build a portfolio.

Anyone interested in finance or seeking a career in finance can learn from these online financial modeling courses. It is not limited to any particular educational background or work experience.

The ability to use Excel proficiently, critical thinking abilities, and attention to detail are just a few of the prerequisites for financial modelling.

Financial predictions and models are built as part of the financial modelling job scope to assist businesses in making strategic choices. In the investment banking, private equity, corporate finance, and consulting sectors, financial modelers are in great Demand.

Conclusion

To build a career in finance or investment banking, having the right skills and knowledge in financial modeling is essential. The best online courses and classes can help you learn financial modeling, covering financial statement analysis, building models, and valuation techniques. You can enhance your expertise and success in this field with the right training. This list of the best course for financial modeling can help you select the right one to achieve your goals in 2023.

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Ethical Hacking Course In Jaipur (9 Courses Bundle , Online Certification)

This Ethical Hacking Course in Jaipur includes 14 comprehensive Ethical Hacking Training , Projects with 78+ hours of video tutorials and Lifetime Access. You get to learn how to become a successful ethical hacker and penetration tester to test and capture the vulnerabilities on the network and provided area.

With the increase in digital transactions and activities, there is also an increase in the number of cybercrimes and cyber threats. There are a lot of cyber threats that the economy is facing today. As every lock comes up with a key, there is a list of protective measures to protect our data and information from security breach too. To protect the valuable data from threats, the role of ethical hacking comes into the picture. The course on ethical hacking aims at generating awareness and a good number of white hat hackers’ also known as ethical hackers, that can help the people and society in protecting and safeguarding their data on a great basis.

Further details are provided below.

About Ethical Hacking Course in Jaipur

Course Name Ethical Hacking Course in Jaipur

Deal You get access to all videos for the lifetime

Hours 78+ Video Hours

Core Coverage Ethical hacking and penetration testing from scratch

Course Validity Lifetime Access

Eligibility Anyone serious about learning Ethical Hacking and wants to make a career in this Field

Pre-Requisites Basic knowledge about Networks would be preferable

What do you get? Certificate of Completion for the course

Certification Type Course Completion Certificates

Verifiable Certificates? Yes, you get verifiable certificates for each14 course, Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills

Type of Training Video Course – Self Paced Learning

Software Required None

System Requirement 1 GB RAM or higher

Other Requirement Speaker / Headphone

Ethical Hacking Course in Jaipur Curriculum

The central idea of this course is to supply a good number of ethical hackers to the society that can help in stopping the number of cyber cases and crimes in the society. As the industry is becoming data-driven, the data is becoming the new gold and it becomes very important to protect this data most effectively.

The course comprises of all the industry-ready skills that can help an individual to secure a good position in the industry by the time he/she completes the course. It is a blend of industry-ready case studies that can help in understanding the industry scenario before landing in the industry.

It is observed that to catch a thief, we have to think like a thief first. Under this course will help in understanding all the areas and loopholes from where a system can be hacked and we will also learn the protective measures that can be taken to protect the system from any security breach. It will also cover many other concepts that will help in becoming a successful ethical/white hat hackers.

Ethical Hacking Training – Certificate of Completion

What is Ethical Hacking?

As the word, it suggests- ethical plus hacking. It means hacking the systems and networks in an ethical manner which is legal in the eye of the law and with owner and administration permission. The professionals involved in this type of activity are also known as white hat hackers as the activity carried out is legal. It helps in testing the penetration and networks that are vulnerable to the threat and breach of security. The person peps up in the system to watch out at the areas of the network that can be hacked easily and with the help of this activity and testing one can easily fix out those areas and protect the system with better means and methods. The practice is completely legal and the professionals involved in these are also certified and experts in their areas.

Which Skills will you learn in this Course

?

The use of real-time scenarios and case studies would help in understanding the business processes and scenarios help in understanding the concepts in a better way. As the program is completely based on the hands-on practice of the system, one can get knowledge of the areas where the system is lacking and how to protect it. The participants will learn more than one way of approaching the same problem in different ways.

Pre-requisites

As the course is designed in such a way that it will help in learning all the core concepts of ethical hacking and also helps individuals in easily sailing through this Ethical Hacking Course in Jaipur. Both technical and non-technical background professionals can take up this course. It is going to be an upper hand if an individual holds the knowledge of basic computing before taking this course too. As the certification is going to be technical if it going to be a valuable addition if one knows about programming fundamentals that can help him/her in understanding the web development module very easily.

Target Audience

Any person who wishes to pursue his or her career in the field of ethical hacking and cybersecurity are welcomed to take up this Ethical Hacking Course in Jaipur. The professionals who have a beforehand understanding of the use of networks is the most rated audience for this course. As the only requirement of taking is this course is a strong will and desire for learning something new, anyone can enroll in this course. As the course involves life projects and case studies too, college students, young entrepreneurs can also come up for this course as it would help them in learning something new and valuable for their journey and piece of interest.

Ethical Hacking Course in Jaipur – FAQ’s What is the difference between white hat and black hat hackers?

White hat hackers’ also known as ethical hackers that penetrate the system and security to check which areas are lacking the security and also defines the way how to fix those areas and they are legal under the eye of law.

On the other hand, black hat hackers, peps into the system to steal the confidential data and information from the system and is illegal. The purpose of this is to steal and harm the system and results in cybercrimes and security breach.

How one can test the security of networks?

It covers a wide range of options and methods that are covered under the modules of penetration testing.

Is this industry ready course?

A big yes, as the skills and concepts covered up in this Ethical Hacking Course in Jaipur, is one of the most demanding skills and technologies in today’s market place.

Why should you take up the Ethical Hacking Course in Jaipur?

As the city is the home for many top tourist destinations and attracts a huge number of tourists every year, there is also an increase in the number of online transactions and activities. Online transactions in terms of payments, travel bookings, hotel bookings are some of the transactions which involve high involvement and exchange of cash. These transactions are highly prone to theft and hence need special security and protection.

What is the Ethical Hacking market trend in Jaipur? 

Recent trends show that there would be a 5.2 million industry by 2023 which shows great scope and opportunities in this field. The future is bright for the professionals in the industry is on the verge of great growth.

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Best Motherboard For Ryzen 9 3900X In 2023

Best Motherboard For Ryzen 9 3900X in 2023

Motherboard recommendations that pair beautifully with the Ryzen 9 3900X

Tom Bardwell

This article will dive into the best motherboard for the AMD Ryzen 9 3900X – the Intel Core i9-9900K killer. Or so AMD positioned the enthusiast chip when it hit store shelves back in July 2023. Did it deliver on that lofty promise? A contentious point for sure and one fueling gamers with plenty of fat to chew. What’s certain is that the Ryzen 9 3900X is one of if not the best gaming CPUs produced by AMD to date. Yes, it’s been superseded by the ever so slightly better specced Ryzen 9 3900XT, but all things considered, what’s not to love about a 1- core computing powerhouse for under $500?

No matter how much power it packs under the hood, the Ryzen 9 3900X is nothing without an equally performance-oriented motherboard to call home. And as we edge closer to the second anniversary of the chip’s launch, there are plenty of options out there. With so many motherboards to choose from, making that all-important choice can quickly turn into a tricky challenge. To that end, we’ve compiled a list of motherboard recommendations that pair beautifully with the Ryzen 9 3900X.

Products at a Glance

How we picked

So, how do you determine if a motherboard is a sound investment or an absolute dud? The short answer is a careful balance of performance and features. When searching for the best motherboards, we put more weight on performance than anything else, and all our recommendations will get the most out of the Ryzen 9 3900X. Factors such as form factor, VRM quality, and design, chipset cooling, power connectors, connectivity, PCIe 4.0/DIMM slots, overclocking potential, build quality, and storage options (M.2, SATA) also guided our choice.

Chances are you’ve bought or plan to buy a Ryzen 9 3900X intending to piece together an enthusiast-grade rig. As such, we’ve only included motherboards that utilize AMD’s PCIe 4.0-ready X570 chipset instead of the lesser B450 and last-gen X470. You can indeed find cheaper boards with those other chipsets (especially if you’re not fussed about PCIe 4.0), but with the aim of future-proofing to a certain extent, we’ve bypassed them entirely.

Below, you’ll find five motherboard recommendations alongside a brief review of each, highlighting why they stood out for us as the best motherboards for the Ryzen 9 3900X.

Our Recommended

Best Motherboard For Ryzen 9 3900X in 2023

1

PROS

Impressive feature set

Strong performance and stability

Attractive aesthetics

Quality VRM

CONS

Price

After a few sketchy years, GIGABYTE has done well to redress its reputation by pumping out a succession of quality motherboards, best embodied by the AORUS range. The GIGABYTE X570 AORUS Master is one such offering and one geared to tap into the full potential of the Ryzen 9 3900X.

While this roll call of features is impressive, it’s coupled with strong performance and stability, whether on the gaming or productivity front. The GIGABYTE X570 AORUS Master ranks up there with some of the best X570 motherboards in a similar price range, even some priced much higher.

All this comes packaged in one of the sleekest motherboards out there, with an attractive design aided by quality components throughout, ample RGB lighting, and a polished layout that should satisfy aesthetically conscious builders there.

The GIGABYTE X570 AORUS Master is a high-end motherboard, so the features, overkill VRM, and expansion possibilities may be too much for some. As such, we only recommend the board for those who’ll make full use of what it has to offer. Otherwise, you’re better off opting for a less feature-rich alternative to save some cash.

2

PROS

Impressive I/O

Feature-full

Unique Strix line-up design

Performance

CONS

Only two M.2 slots

Much like the GIGABYTE X570 AORUS Master, the ASUS ROG Strix X570-E Gaming sits somewhere between a mid-range and flagship motherboard, delivering a wealth of features, strong performance, and stellar looks. The ROG Strix name implies a certain quality, something this board channels in droves, alongside the line-up’s head-turning style, notably the commanding heatsinks and Aura Sync RGB.

Performance is up there with the AORUS Master, and there’s a sense the board offers the Ryzen 9 3900X the perfect ecosystem to thrive, whether that’s high-end gaming or those demanding multi-core tasks.

The build quality is also on point, as seen in the welcome touches to the cooling solution and power management – active chipset heatsink, 16 power stages, ProCool II power connector, MOS heatsink with a heatpipe, M.2 heatsinks, and durably components throughout. Other features include 2.5 Gbps LAN, Intel Gigabit, Wi-Fi 6, a generous I/O (HDMI, DisplayPort, plenty of USB 3.2 ports, and more), eight SATA ports, four DIMM slots up to 4400MHz, two PCIe 4.0 x16, and outstanding audio thanks to SupremeFX S12204 audio.

We have to nitpick to find much to dislike about the ASUS ROG Strix X570-E Gaming, and pushed, we’d have preferred an extra M.2 slot like the GIGABYTE board above. Then again, this only matters if you plan to use all the slots, and in most cases this a fairly irrelevant omission that actually helps lower the cost somewhat.

Similar to the AORUS Master, the ASUS ROG Strix X570-E Gaming offers an awful lot. The question is whether there’s too much there for your needs. If you’ll make use of it all, the board is a perfect match for the Ryzen 9 3900X.

3

PROS

Price

Impressive specs for a budget motherboard

TUF build quality and looks

CONS

Not the best performance available

The ASUS TUF Gaming X570-Plus hits a good compromise between price and features, securing the spot as our top budget pick for the Ryzen 9 3900X. Despite having a lower cost than other X570 boards, the ASUS TUF Gaming X570-Plus retains all of ASUS’ TUF design flair with chunky VRM heatsinks and I/O plate, patterned PCB, and robust build quality.

The board is well served in specifications: four DIMM DDR4 up to 4400 MHz, eight SATA, ALC S1200A audio, two PCIe 4.0 x16, Gigabit LAN, 14 power stages, Digi+ VRM, USB 3.2 Gen 2 ports, Aura Sync RG, and a complete cooling setup with an active chipset heatsink, VRM heatsink, M.2 heatsink, fan headers, and Fan Xpert 4.

On the performance front, the ASUS TUF Gaming X570-Plus is a great home for the Ryzen 9 3900X and is well-suited to a reasonably powerful gaming rig when paired with the right hardware. You will find better performance elsewhere, at a higher price, but the board more than holds its own and even surprises with how well it handles overclocking.

For those jumping over from Intel chips or novice builders that want to harness the power of the Ryzen 9 3900X, the ASUS TUF Gaming X570-Plus represents an excellent introductory motherboard to the world of AMD CPUs. Given this is ostensibly a budget motherboard, the ASUS TUF Gaming X570-Plus motherboard delivers some pretty impressive specs for the price. Ultimately, it’s an affordable way to jump onto the PCIe 4.0 bandwagon.

4

PROS

Very attractive price

Respectable performance

CONS

No I/O backplate

Cooling solution

If you want to save another $20 to $30 but still want an X570 motherboard, the ASRock X570 Pro4 is worth considering. Performance floats somewhere around middling; not impressive, but not sub-par either. The board performs more or less like the ASUS TUF Gaming X570-Plus, minus the good overclocking chops. You undoubtedly get what you pay for, but the board can handle stock 3900X speeds without any trouble.

Standout features include a ten power phase design, four DDR4 DIMM with support up to 4066 MHz, two PCIe 4.0 x16 slots, two PCIe 4.0 x1 slots, on M.2 SSD slot, one M.2 Key E slot for Wi-Fi, 8 SATA, Gigabit LAN, and decent I/O spread with two USB 3.2 Gen2, 10 USB 3.2 Gen 1, and 7.1 HD audio inputs/outputs. We are a far cry from the GIGABYTE X570 AORUS Master, for example, but there’s more than enough here to hook up a respectable gaming rig.

ASRock has cut corners to keep the price, and you can easily see where. The I/O lacks an integrated backplate, for example. Most apparent is the VRM heatsink, which feels inadequate for the board’s ten power phases, hampering the ASUS TUF Gaming X570-Plus’ overclocking potential. Similarly, the M.2 and chipset heatsinks appear more like an afterthought to complement the board’s aesthetic rather than a concerted effort to keep temperatures in check. Fortunately, this doesn’t affect performance in our experience, and temperatures remain within a respectable range.

5

GIGABYTE X570 I AORUS Pro

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PROS

Mini-ITX form factor

Sophisticated power output and cooling solution

Attractive mid-range price with the performance to match

CONS

Odd I/O choices

Finally, we thought we’d throw in a Mini-ITX build for those planning to piece together a compact build. After weighing up what’s out there, we were impressed with another stellar offering from the folks at GIGABYTE, the GIGABYTE X570 I AORUS Pro.

As the name suggests, the board is a scaled-down version of the larger ATX AORUS Pro, and GIGABYTE has done well to miniaturize the board’s footprint while keeping its excellent design and performance intact.

The GIGABYTE X570 I AORUS Pro features one robust steel PCI 4.0 x16 slot, two DDR4 DIMMs with support for XMP profiles up to 4400 MHz and 64 GB of RAM, two PCIe 4.0 M.2 slots with one mounted on the back of the motherboard to save space, 8 phase power, Wi-Fi 6, Realtek ALC1220-VB audio, RGB Fusion 2.0, and Intel GBE LAN.

We were particularly impressed by the 8 phase power design, which delivers well-managed juice to all components. A sophisticated cooling setup props up this with a sizable chipset fan/heatsink that also doubles as an M.2 slot and a well-designed VRM heatsink. The board took overclocking in its stride and produced great results for us.

The I/O is somewhat of a let down though. For such a small board, it’s over-served with video ports (one DisplayPort 1.4 and two HDMI 2.0). We would have preferred more USB and other ports to complement the board’s four USB 3.1 Gen 1, Ethernet, one USB 3.1 Gen 2, Wi-Fi antenna connector, and audio inputs/outputs.

Things to consider Features

When it comes to motherboard features, their desirability and ideal combination differ from build to build. If you’re going for a modest build and don’t need additional expansion or storage slots, then opting for less feature-rich boards is a great way to cut down on the overall cost. As long as performance-oriented features such a VRM, phase power, and chipset cooling are up there, it’s okay to cut costs on other parts.

Form Factor

This point isn’t so much Ryzen 9 3900X-specific as the chip will slot into any AM4 socket motherboard, whatever the size, but more about how the motherboard fits into the chassis. Motherboards exist in three main form factors – ATX, Micro-ATX, and Mini-ITX.

When buying a case and motherboard, ensure they line up in terms of form factor, or you may find yourself with the troublesome problem of having a motherboard far too large to fit inside your shiny new chassis. The ATX, Micro-ATX, and Mini-ITX standard make avoiding this incredibly easy, so no excuses for messing this up.

Given that the Ryzen 9 3900X is an enthusiast chip, it’s more than likely you’ll be using it in an ATX build paired with other beefy components that demand a lot of more room because of both their footprint and cooling requirements. To that end, the majority of our recommendations are ATX boards. We’ve thrown in what we consider an excellent Mini-ITX option, though, for those eyeing up an ultra-compact build.

Stick To The Big Name Brands

MSI, Asus, GIGABYTE, ASRock – household names among PC gamers and builders. And, with good reason. They have proven track records of producing quality PC components and have robust after-sales solutions in place if something goes wrong.

For peace of mind alone, we always recommend buying a motherboard from a reputable big name brand, if at all possible. The same applies to motherboards for the Ryzen 9 3900X. If you are forking out $500 for the chip, it makes sense to give it the best home possible.

As the PC’s central nervous system, the motherboard plays a vital role in ensuring all the other components communicate and work in unison. Skimping on such a crucial piece of hardware to save money is, in most cases, a recipe for disaster. Avoid obscure brands and knockoffs like the plague. You always get what you pay for, and it often isn’t all that much.

Does the AMD Ryzen 9 3900X need cooling?

The provided cooler keeps the CPU temperatures low if you keep it at factory settings. However, there isn’t much leeway if you want to start overclocking the CPU. We suggest purchasing a cooler from a top brand if you want to reduce overheating issues. Check out our article on some of the best CPU coolers that we’ve found in the market.

Is the AMD Ryzen 9 3900x good for gaming? Is the AMD Ryzen 9 3900x Worth it?

In our opinion, the CPU is worth purchasing, especially when looking at its performance when compared to its price, making it a great value midrange CPU. For those in the market for the most powerful CPUs check out our guide.

Our Verdict

Editor’s Choice

GIGABYTE X570 AORUS Master

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If in doubt, we highly recommend the GIGABYTE X570 AORUS Master. Feature-full and packing strong performance alongside good looks, the board is the perfect home for a Ryzen 9 3900X. A similarly impressive motherboard is the ASUS ROG Strix X570-E Gaming, another excellent option for those that want a wealth of expansion and storage options alongside good performance.

Finally, you can’t go wrong with the small but mighty GIGABYTE X570 I AORUS Pro for an ultra-compact build.

Top 10 Python Machine Learning Courses To Take Up In 2023

Python machine learning courses have become an important domain for implementing machine learning algorithms

Python

is the most popular programming language for data science projects. Furthermore,

Python

is the essential

programming language

utilized for a significant part of the innovative work in Machine Learning, to an extent that Python is the top

programming language for Machine Learning

as indicated by Github. And on the other side, machine learning is a trending topic that is popular across the globe these days. Python

machine learning courses

have become an important domain for implementing machine learning algorithms. This article lists the top 10 Python

Machine Learning courses

to take up in 2023. 

Offered by IBM

This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. The main components of this course are:

First, you will be learning about the purpose of Machine Learning and where it applies to the real world. 

Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms. 

Offered by EDHEC Business School 

The Data Science and Machine Learning for Asset Management Specialization have been designed to deliver a broad introduction to modern methods in Investment Management, with a particular emphasis on the use of data science and machine learning techniques to improve investment decisions. By the end of this specialization, you will acquire the tools required for making sound investment decisions, with an emphasis not only on the foundational theory and underlying concepts but also on practical applications and implementation.

Offered by University of Colorado Boulder

The Machine Learning specialization covers Supervised Learning, Unsupervised Learning, and the basics of Deep Learning. You will apply ML algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Starting with supervised learning, it will cover linear and logistic regression, KNN, Decision trees, ensembling methods such as Random Forest and Boosting, and kernel methods such as SVM. 

Offered by EDHEC Business School 

This course will enable you to master machine-learning approaches in the area of investment management. It has been designed by two thought leaders in their field, Lionel Martellini from EDHEC-Risk Institute and John Mulvey from Princeton University. Starting from the basics, they will help you build practical skills to understand data science so you can make the best portfolio decisions. 

Offered by EDHEC Business School 

This is one of the best machine learning courses that introduces the core concepts around alternative data, the most recent research in this area; as well as practical portfolio examples and actual applications. The approach of this course is somewhat unique because while the theory covered is still a main component, practical lab sessions and examples of working with alternative datasets are also key. 

With brand new sections as well as updated and improved content, you get everything you need to master Machine Learning in one course. For this course, no machine learning is required. Although having some basic Python experience would be helpful, no prior Python knowledge is necessary as all the codes will be provided and the instructor will be going through them line-by-line and you get friendly support in the Q&A area. 

There are several Python packages for basic data analysis and machine learning. This is one of the free machine learning courses where you will learn about two popular packages in Python: NumPy and Pandas. These are the essential foundational packages that are required for basic data manipulation. There are many python machine learning tutorials and machine learning with python courses available online to understand basic statistics and programming. 

In this course you’ll learn the difference between the two main types of machine learning methods: supervised and unsupervised, supervised learning algorithms, including classification and regression, unsupervised learning algorithms, including Clustering and Dimensionality Reduction, how statistical modeling relates to machine learning, and how to compare them, real-life examples of the different ways machine learning affects society. 

This course is exhaustive and the certificate awarded is proof that you have taken a big leap in Python. Also, the knowledge you have gained from working on projects, videos, quizzes, hands-on assessments, and case studies will give you a competitive edge.

Top 10 Deep Reinforcement Learning Courses To Take Up In 2023

One of the most intriguing areas of AI today is the concept of deep reinforcement learning

Deep Reinforcement Learning (DRL), a very fast-moving field, is the combination of Reinforcement Learning and Deep Learning. It is also the most trending type of Machine Learning because it can solve a wide range of complex decision-making tasks that were previously out of reach for a machine to solve real-world problems with human-like intelligence. One of the most intriguing areas of artificial intelligence today is the concept of deep reinforcement learning, where machines can teach themselves based on the results of their actions. It is one of the areas of artificial intelligence that shows great promise. Through a series of trial and error, a machine keeps learning, making this technology ideal for dynamic environments that keep changing. Although reinforcement learning has been around for decades, it was much more recently combined with deep learning, which yielded phenomenal results. The “deep” portion of reinforcement learning refers to multiple (deep) layers of artificial neural networks that replicate the structure of a human brain. This article features the top deep reinforcement learning courses to take up in 2023.

Deep Reinforcement Learning

Udacity

Learn cutting-edge deep reinforcement learning algorithms—from Deep Q-Networks (DQN) to Deep Deterministic Policy Gradients (DDPG). Apply these concepts to train agents to walk, drive, or perform other complex tasks, and build a robust portfolio of deep reinforcement learning projects.

Deep Learning and Reinforcement Learning

Coursera

This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning and is frequently used to power most of the AI applications that we use daily. First, you will learn about the theory behind Neural Networks, which are the basis of Deep Learning, as well as several modern architectures of Deep Learning.

Reinforcement Learning Lecture

Deep Mind

Deep Reinforcement Learning 2.0

Udemy

In this course, you will learn and implement a new incredibly smart AI model, called the Twin-Delayed DDPG, which combines state-of-the-art techniques in Artificial Intelligence including continuous Double Deep Q-Learning, Policy Gradient, and Actor-Critic. The model is so strong that for the first time in your courses, you will be able to solve the most challenging virtual AI applications (training an ant/spider and a half humanoid to walk and run across a field).

Advanced AI: Deep Reinforcement Learning in Python

Udemy

This course is all about the application of deep learning and neural networks to reinforcement learning. Specifically, the combination of deep learning with reinforcement learning has led to AlphaGo beating a world champion in the strategy game Go, it has led to self-driving cars, and it has led to machines that can play video games at a superhuman level.

Reinforcement Learning by Georgia Institute of Technology

Udacity

You should take this course if you have an interest in machine learning and the desire to engage with it from a theoretical perspective. Through a combination of classic papers and more recent work, you will explore automated decision-making from a computer-science perspective. You will examine efficient algorithms, where they exist, for single-agent and multi-agent planning as well as approaches to learning near-optimal decisions from experience. At the end of the course, you will replicate a result from a published paper in reinforcement learning.

Practical AI with Python and Reinforcement Learning

Udemy

In this course, you will create your own deep reinforcement learning agents in your own environments. This course focuses on a practical approach with the right balance of theory and intuition with useable code. You will also learn how Deep Learning with Keras and TensorFlow works, before diving into Reinforcement Learning concepts, such as Q-Learning.

AWS DeepRacer by AWS

Udacity

This course will prepare you to create, train, and fine-tune reinforcement learning models in the AWS DeepRacer 3D racing simulator. You will be able to utilize the car’s tech specs, assembly, and calibration to train and deploy your racing model using AWS in both simulated and real-world tracks.

Tensorflow 2.0: Deep Learning and Artificial Intelligence

Udemy

This course includes the following projects:

Natural Language Processing (NLP)

Recommender Systems

Transfer Learning for Computer Vision

Generative Adversarial Networks (GANs)

Deep Reinforcement Learning Stock Trading Bot

AWS Machine Learning Foundations Course

Udacity

Java Course (78 Courses Bundle, Online Certification)

About Java Course

Course Name Online Java Course Bundle

Deal You get access to all 78 courses, Projects bundle. You do not need to purchase each course separately.

Hours 416 Video Hours

Core Coverage Java, Struts2, Java Spring, Spring Boot, Design patterns in Java, JDC, JSON, Java Build Tools, Java Hibernate, Ajax, Java EE/J2EE.

Course Validity Lifetime Access

Eligibility Anyone serious about learning Java and wants to make a career in this field

Pre-Requisites Familiarity with at least one programming language is recommended

What do you get? Certificate of Completion for each of the 78 courses, Projects

Certification Type Course Completion Certificates

Verifiable Certificates? Yes, you get verifiable certificates for each 78course, Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced Java Skills

Type of Training Video Course – Self Paced Learning

Software Required Open Source Software

System Requirement 1 GB RAM or higher

Other Requirement Speaker / Headphone

Online Java Certification Course Curriculum

Goals

Objectives

Course Highlights

Project Highlights

Goals

Here we present a course to you on Java keeping in mind the gap of the current asks of the organization and the skillset the majority workforce brings in at this point of time and we aim to bridge this gap through the course of this training. We would make you that person who can crack the toughest nut with ease.

Objectives

In this training on Java, we would have a lot of objectives to be fulfilled. At the starting of the course we would chalk out the objectives in detail but here least we would go through the objectives in brief. We would divide our curriculum into 5 different sections and each section has its objectives to fulfill. In the first section we would be attacking the basics of Java to have a strong foundation. In the next section we have Spring Boot tutorials to take care of and following that section we have a section on JDBC. The objectives of the last 2 sections in this training is to take the final leap to cross and cover the left of things of the Java training.

Course Highlights

In the very first section, we would go through the introduction of Java in its true sense, so that we get all the terminologies we would be using in this course right inside our head in such a way that they can never be omitted. In this section we have a superficial touch of all the concepts we would go through during the training.

The next section is dedicated to the understanding of JavaScript and its vast uses in Java in today’s world. Once we have covered JavaScript, we would take a deep dive into the concepts of Java Hibernate. While traversing through the path of learning Java Hibernate, we would need to pass through the dwelling place of Maven and Apache Tomcat as well. Hence these topics would also be covered in great detail.

Now that we know what functionalities Maven, Tomcat and Hibernate provide, understanding of JDBC is, therefore, a must, as the JDBC concepts merged with previous learning of Hibernate, Maven, etc. would enable us to solve real-time problems. This section also contains the security aspect of JDBC without which JDBC would be crippled.

Now we are ready for taking on the real-time concepts of web services and this is exactly what is there in store for the next section. This section covers topics like JWS SOAP and REST, multithreading, JSF and many others.

The final section is all about projects and that’s all we will talk about in the project highlights.

Project Highlights

This course on Java training is overloaded with projects because we understand the need for hands-on experience to complete the nature of learning in today’s scenario. We have designed the projects in such a way that it will give immense confidence while working on real-time projects. Some highlights from the project perspective for Java training are:

Each section has one or more projects to understand the working of theoretical concepts taught in that section, except the first one. Starting from the second section, we have projects to get accustomed to the working of Spring. This section also contains projects on understanding Java v/s .net.

In the next section we have projects to take care of understanding JDBC. JDBC is an intricate topic and needs an understanding of concepts like Maven, Apache, etc. to be used in implementing a complete JDBC project.

Java Course  – Certificate of Completion

What is Java?

Java is a programming language that can be built once and run anywhere. It is platform-independent and easily portable. Java can be used to develop web applications, standalone GUI applications and complex large-scale distributed applications to enable the resolution of complex solutions more easily. Java is an object-oriented Programming Language and functional features have been added in the recently released Java versions.

Java was developed and is being maintained by Oracle Corporation. It is a general-purpose programming language which has concurrent and multi-threading programming features. Java is safe, static and strongly typed programming language. Java has a special runtime environment called JRE which provided an execution environment instances called Java Virtual Machine (JVM) to enable the running of Java applications as Java bytecodes (conversion of high-level code to machine level code). The theme of the Java application development is Write Once and Run Anywhere while developing applications. It is most popular in client-server application development. It is licensed under GNU General Public License and is being supported by Java Community Process.

Several skills can be acquired after learning this Java Training such as Core Java and Advanced Java programming features.

Java EE application-specific skills such as JPA, Hibernate, Spring.

GUI based application-specific skills such as Java AWT (Abstract Window Toolkit), Swing, EJB (Enterprise Java Beans), Web Services such as REST (JAX-RS specification) and SOAP (JAX-WS specification).

Several other Java EE technologies skills such as JDBC (Java Database Connectivity API) used to establish a connection between the Java application and the database schemas to update and manage the application data.

Java build tools such as Ant and Maven to manage the Java application build lifecycle and project build and execution phases.

Java Spring framework related technologies such as Spring Boot to develop production-ready applications and embedded serves in Spring libraries to develop lightweight applications.

Java Design Patterns, Algorithms and Data Structures implemented in Java programming language to develop efficient applications, etc.

Different IDEs such as IntelliJ IDEA and Eclipse can be learned that provides a development environment for developing Java and Java EE applications.

Skill related to Java testing and test coverage frameworks like JUnit and TestNG for Test automation purposes can be obtained.

Pre-requisites

Willingness to pursue a career as Software Developer: This Java training has a few prerequisites such as basic knowledge in Java Programming or at least any knowledge or previous experience in any other high-level programming language or object-oriented programming languages. This course would seem a little bit tough without any knowledge or experience in any computer programming language.

Basic knowledge of Computer technologies: Basically, any degree in computer background or any technical or engineering discipline is highly recommended before taking this Java Course. Anyone without computer knowledge can also learn this Java Course based on their interest if having a good logical and technical sense of mind.

Target Audience for this Java Course

Software Professionals: If you want to proceed and switch your career or want to take off your career to the next level, this Java Course is highly recommended for the Software professionals.

Engineering Graduates: Any engineering graduate without a computer science background can also opt for this Java Course as there are many successful software professionals with core technical backgrounds other than Computers as Majors. The only qualification for this Java Course is to have an interest in learning a programming language and logical, analytical & coding skills to develop complex Java applications as a java programmer.

Java Certification Course FAQ’s- General Questions Why should I do this course?

Software professionals who are willing to pursue their career as Java Developer or Java Programmer or Java Engineer should pursue this Java training to master the contents of Java Programming Language easily and in a short period.

I don’t have a background in Computers, can still consider opting for this course?

The answer is a big YES. Without any background in computers also, one can opt for this course with no reluctance based on the condition that a person is interested in learning and have good logical and analytical skills. One can get the best value out of this course within a short time. Get your basics right and you are more than welcome to do this course.

Would this course add value to my profession?

Yes. This course will add great value to the profession by providing hands-on content.

Is this a quick-fix or I need to continue practicing while learning this Java certification?

This is not a quick fix and you need to practice the Java programming features by applying the acquired knowledge from this Java Course into practical form by developing some java applications.

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Career Benefits of this Java Course

To become a Java developer or a Java programmer, this Java course is much enough in terms of course coverage and content.

Being in a technical role, there will be a lot of demand for the resources in technical domains to outperform a lot.

The skills acquired from this Java certification course will benefit a lot to perform as an independent team player and also as a top performer.

Java Course Testimonials

Perfect

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ILHAN TURKMEN

Helped me a Lot

Linked

Sai Kiran Makena

Excellent

Linked

George Kwofie

Java Certification Course

Linked

Grant Eric

My Java experience

This is one of the best courses in Java Course or Java Training I have ever completed. As a Software Developer, I did few courses in other programming languages, but this has been one of my best and all-time favorite courses that I used to enjoy while I learn for being its contents more comprehensible and in-depth in terms of of of the course curriculum.

Elizabeth

Great Java Certification Course

This course is very detailed that includes hands-on and on the go-live training and is very exciting to learn every minute due to simplicity and easily understandable content, this is a must-visit to master the Java course in the shortest time possible

Mathew

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