Financial Analysis: Where Should You Actually Start?

Financial analysis is one of the most in-demand skills in business — and also one of the most confusing to start learning. Many beginners spend weeks stuck on one question: Excel or Python? CFA or self-study? Paid course or free resource? Those are real questions, and they have real answers. This guide cuts through the noise.

Key Takeaways

• Financial analysis means reading financial statements, applying ratios, and making valuation judgments to assess a company's health.
• The most valued financial analysis skills combine Excel modeling with business judgment — not just number-crunching.
• Start with ratio analysis and financial statements before moving into DCF (discounted cash flow) modeling.
• Free resources from Corporate Finance Institute, Khan Academy, and the CFA Institute can take you surprisingly far.
• With 365+ financial analysis courses on TutorialSearch.io, there's a structured path for every experience level.

In This Article

• Choosing Your Financial Analysis Path
• The Financial Analysis Courses I'd Recommend Without Hesitation
• Learn Financial Analysis Without Spending a Dime
• Financial Analysis Practice: GitHub Repos Worth Bookmarking
• Financial Analysis YouTube Channels That Actually Teach You Something
• For When You Want to Go Deeper With Financial Analysis
• Financial Analysis Communities That Don't Waste Your Time
• Related Financial Skills Worth Exploring
• Frequently Asked Questions About Financial Analysis

Choosing Your Financial Analysis Path (Before You Waste Time)

Most beginners start in the wrong place.

They jump into financial modeling before they understand what a balance sheet actually tells you. Or they spend weeks on Excel templates before reading a real annual report. Financial analysis has a natural learning ladder. Before you can model, you need to read. Before you can value, you need to understand ratios. That order matters more than most courses acknowledge.

There are three main paths people take into financial analysis:

Most working professionals don't need all three. If you're building analysis skills for a corporate role, Excel modeling is your core focus. If you're an investor trying to evaluate stocks, fundamentals and ratio analysis come first.

Pick your path before you pick your course. Skipping this step is why most people end up with ten half-finished courses and no real skill.

One more thing worth knowing: financial analysis doesn't mean predicting the stock market. The job is to assess a company's financial health — its profitability, solvency, and efficiency — and make informed comparisons. Everything else flows from that.

The Financial Analysis Courses I'd Recommend Without Hesitation

There are 365+ financial analysis courses out there. Here's the shortlist that's actually worth your time.

For Complete Beginners

1. Financial Analysis, from Scratch to Professional (Udemy — by Financial Courses)

If you know nothing about finance, start here. The course covers income statements, balance sheets, cash flows, and basic valuation from zero. Rating: 4.4 with nearly 9,000 students. The pacing works well for people who've never opened a 10-K filing before. Don't let the generic title fool you — the content is well-sequenced.

2. Financial Analysis - Must Skill for Every Banking Executive (Udemy — free, by Raja Natarajan) [Editors' Choice]

Free finance courses usually feel thin. This one doesn't. Raja Natarajan covers credit analysis, profitability ratios, and financial health assessment in a genuinely useful way. Over 4,500 students, rated 4.4, and it costs nothing. If you're moving into banking or corporate finance and can't spend money right now, start here before anywhere else.

For Intermediate Learners

3. Financial Analysis and Financial Modeling using MS Excel (Udemy — by Start-Tech Academy) [Editors' Choice]

This is the most popular financial analysis course on the platform — nearly 157,000 students enrolled. That number reflects something real. Start-Tech Academy builds from financial statement basics through ratio analysis and into full Excel models. It connects the theory with the Excel skills you'll actually need on the job. If you pick just one paid course, this is the one.

Rating: 4.5, and reviews consistently highlight how practical it is for non-finance majors entering analyst roles.

4. Beginner to Pro in Excel: Financial Modeling and Valuation (Udemy) [Editors' Choice]

With 247,000+ students, this is one of the most-enrolled financial modeling courses on any platform — and for good reason. It runs through DCF analysis, comparable company analysis, and Excel best practices. Rating: 4.57. The title says "Beginner to Pro," which is accurate: it assumes almost nothing and builds toward full valuation models. Worth every dollar if Excel modeling is your goal.

5. Investment Banking: The Complete Financial Ratio Analysis (Udemy)

If you want to go deep on the technical ratios — liquidity, leverage, profitability, efficiency — this investment banking-focused course delivers. Rating: 4.57 with 2,900+ students. The IB framing means explanations go beyond surface-level definitions. It treats you like you'll actually have to defend these numbers in front of someone.

6. Financial Analysis & Financial Ratios: Amazon vs. Walmart (Udemy — by Aubrey Apolinario, CPA, CA) [Editors' Choice]

This is the format-breaking recommendation on this list. Rather than teaching ratios in the abstract, it puts two real companies side by side. You analyze Amazon and Walmart the way a working analyst would — comparing return on equity, working capital ratios, and margins. Learning through live case studies beats textbook examples every time. Highly recommended if you've already done one basics course and want to apply what you learned.

For Specialized Use Cases

7. Financial Analysis for Management Consultants & Analysts (Udemy — by Asen Gyczew)

If your goal is consulting rather than pure finance, this course applies financial analysis to business strategy questions. Rating: 4.37, 4,700 students. It covers how consultants use financial data to identify operational inefficiencies and growth opportunities — a different lens than investment banking analysis.

8. Financial Analysis - Business Valuation, DCF, IRR, and more (Udemy — by Corey @ Wisdify)

DCF (discounted cash flow) is the backbone of equity valuation. IRR (internal rate of return) is central to capital budgeting. This course covers both at the intermediate level. Rating: 4.3. It's the right next step after you've mastered ratio analysis and want to move into actual investment decisions.

9. Financial Analysis: Build a ChatGPT Pairs Trading Bot (Udemy — by Lazy Programmer Inc.)

This sits in a different lane entirely. If you're interested in where financial analysis meets AI, this course shows how large language models can be applied to financial data for pairs trading strategies. Rating: 4.51. Not for pure beginners — but genuinely useful for analysts who want to understand where the field is heading.

You can search all financial analysis courses on TutorialSearch.io to filter by level and platform.

Learn Financial Analysis Without Spending a Dime

Paid courses are great for structure. But the free resources in this space are stronger than most people realize.

Corporate Finance Institute (CFI) — Free Tier

CFI has become the closest thing to an industry standard for online finance education. Their Financial Analysis Fundamentals course is free and covers ratio analysis, Excel-based financial analysis, and best practices for presenting findings. The free tier alone is better than many paid alternatives.

Khan Academy — Core Finance

Khan Academy's finance section is one of the best introductions to financial concepts anywhere online. Time value of money, interest rates, basic financial statement reading — all covered, all free. The explanations build from first principles and assume no background. If you're completely new to finance, start here before anything else.

CFA Institute — Free Refresher Readings

The CFA Institute publishes free refresher readings on their site, including introductions to financial statement analysis and analysis techniques. These are the same materials that CFA candidates study. Dense, but authoritative. Worth reading to understand what institutional analysts actually focus on.

Investopedia

Investopedia isn't a course platform. It's a reference. Their explanations of financial ratios, valuation methods, and accounting concepts are consistently accurate and searchable. Bookmark it. You'll use it constantly throughout any financial analysis course.

Open Textbook Library — Introduction to Financial Analysis

The Open Textbook Library hosts a free textbook covering statement reading, ratio analysis, forecasting, and time value of money. It's a proper academic resource — not as engaging as video, but thorough. Good for filling in gaps from a course that moves too fast.

The broader finance & accounting category on TutorialSearch has hundreds of structured courses that pair well with these free resources.

Financial Analysis Practice: GitHub Repos Worth Bookmarking

Tutorials teach frameworks. Practice builds skills. These GitHub repos help you apply financial analysis to real data.

awesome-quant (wilsonfreitas)

One of the most starred financial resources on GitHub. This is a curated list of quantitative finance libraries, tools, and learning materials — Python-heavy but comprehensive. The Python financial analysis libraries listed here (pandas, yfinance, pyfolio) are what professional quant analysts actually use. Even if you're not going quantitative, this repo is a useful map of the analytical landscape.

awesome-finance

Broader than awesome-quant. Covers tools, datasets, and learning materials across personal finance, corporate finance, and financial analytics. Good for finding specialized data sources and analysis frameworks.

financial-machine-learning (firmai)

For analysts interested in where financial analysis meets data science — pattern recognition, predictive modeling, alternative data. This isn't a beginner resource. But if you're already comfortable with ratio analysis and want to see what's next, this repo shows where the field is moving.

If you're also building investment strategies alongside your analysis skills, the awesome-investing repo is worth a bookmark too.

Financial Analysis YouTube Channels That Actually Teach You Something

Most finance YouTube falls into two categories: genuinely educational or finfluencer noise. Here's what lands on the right side.

Corporate Finance Institute (YouTube)

CFI's YouTube channel has short, dense introductions to financial modeling concepts — DCF analysis, 3-statement models, ratio walkthroughs. They're designed as previews for their courses, but they work well as standalone lessons. Good for filling specific knowledge gaps.

Ben Felix — Common Sense Investing

Ben Felix is a portfolio manager who brings an evidence-based, academic approach to investing and financial analysis. His videos are dense and research-backed. He regularly disagrees with popular conventional wisdom about stock picking — worth watching for the independent thinking alone.

The Plain Bagel

Richard Coffin is a CFA charterholder who explains financial analysis concepts with unusual clarity. His breakdowns of how to read balance sheets, understand free cash flow, and interpret price-to-earnings ratios are some of the best on YouTube. Good for building intuition before tackling technical courses.

Aswath Damodaran — NYU (Free Valuation Course)

Damodaran's YouTube channel is the closest thing to a free graduate-level valuation course online. He uploads his entire NYU Stern MBA classes on corporate finance and valuation. Dense and academic — but free. If you want to understand DCF from first principles rather than from a template, this is where you go.

Valuation School

Valuation School has a structured financial modeling series — Excel setup, 3-statement models, ratio analysis, DCF walkthroughs. It's more sequential than most free content. Good for visual learners who want to watch models being built step by step.

For When You Want to Go Deeper With Financial Analysis

At some point, courses and YouTube plateaus. These books fill the gaps that structured learning misses.

The Intelligent Investor by Benjamin Graham — This is the foundational text on value investing and fundamental financial analysis. Graham developed the frameworks that Warren Buffett and most value investors still use. It's not a technical modeling textbook — it's a framework for thinking about what financial analysis is actually for. Consider it required reading regardless of your specific finance role.

Financial Statement Analysis: A Practitioner's Guide by Fridson & Alvarez — One of the clearest practitioner-focused books on reading financial statements critically, not just mechanically. It teaches how to evaluate statements the way an actual analyst does — looking for what the numbers don't say, not just what they do. Listed on BookAuthority's recommended financial analyst books.

Security Analysis by Benjamin Graham and David Dodd — The more technical companion to The Intelligent Investor. This one gets into how to analyze bonds, preferred stocks, and common stocks using financial statements. Dense, but foundational. Many of the concepts taught in modern financial analysis curricula trace back here.

Abacum's Blog on Financial Reporting and Analysis — For a modern, practical perspective on what financial analysis looks like in corporate FP&A today, Abacum's blog covers forecasting techniques and how analysis connects to business strategy. More current than any textbook.

If you're pairing financial analysis with financial planning skills — which most corporate finance professionals do — the Fridson & Alvarez book and CFI's materials cover a lot of the same ground.

Financial Analysis Communities That Don't Waste Your Time

Learning alone is slower. These communities accelerate it.

r/finance and r/financialindependence (Reddit)

Both subreddits have active discussions on financial analysis techniques, stock screening, and career questions. r/finance skews toward professional topics — financial modeling debates, equity research, career paths. r/financialindependence applies financial analysis to personal investment decisions.

Fluent in Finance (Discord)

Fluent in Finance discusses stocks, investing, and financial analysis in an active community. Useful for comparing approaches and getting feedback on your own analysis work.

Wall Street Oasis

Wall Street Oasis is the most focused professional community for finance careers. Forums are organized by role — investment banking, corporate finance, equity research — and active with working professionals. The interview prep sections are particularly useful for anyone pursuing finance analyst roles.

CFA Institute Community

If you're on the CFA path, the CFA Institute's community connects candidates and charterholders globally. Useful for study support and professional development.

These communities also regularly discuss adjacent skills like trading analysis and business finance. Both are natural extensions once you have financial analysis fundamentals down.

Related Financial Skills Worth Exploring

Financial analysis doesn't exist in isolation. These related skills deepen what you can do with it:

• Trading Strategies — 1,000+ courses on applying financial analysis to active trading. Natural next step after fundamentals.
• Investment Strategies — Bridges financial analysis with portfolio construction and long-term investing. 596 courses available.
• Accounting Fundamentals — The foundation under financial analysis. Understanding how debits, credits, and GAAP work makes reading financial statements significantly easier. 443 courses.
• Trading Analysis — Covers technical analysis alongside the fundamental analysis that financial analysis focuses on. 441 courses.
• Stock Investing — The applied endpoint for most fundamental financial analysts. 330 courses.
• Business Finance — Financial analysis applied to business operations, budgeting, and corporate strategy. 719 courses.
• Personal Finance — Many financial analysis skills transfer directly to managing your own investments. 683 courses.

Frequently Asked Questions About Financial Analysis

How long does it take to learn financial analysis?

You can build working financial analysis skills in 3–6 months with consistent effort — roughly 5–8 hours per week across a structured course and practice. Reaching professional-level proficiency, where you can produce and defend a DCF valuation or credit analysis, typically takes 1–2 years of applied work. Browse financial analysis courses sorted by level to find the right starting point.

Do I need an accounting background to learn financial analysis?

No — but basics help. The most important prerequisite is understanding how the three financial statements connect to each other. You can learn this within the first week of any good beginner course, or through Khan Academy's free finance section. Many successful analysts came from non-finance backgrounds. The skill is learnable without a degree.

Can financial analysis skills help me get a job?

Yes — and fairly directly. Roles in investment banking, equity research, corporate development, FP&A, and credit analysis all list financial analysis as a core requirement. Even non-finance roles like product management and business strategy increasingly expect basic financial literacy. Excel modeling combined with statement analysis is particularly valued by hiring managers.

How does financial analysis differ from accounting?

Accounting records and reports what happened. Financial analysis interprets that data to understand what it means and predict what might happen next. An accountant produces the income statement. A financial analyst reads it, compares it to prior periods and industry benchmarks, and makes recommendations. The two skills complement each other — which is why accounting fundamentals courses are a useful companion to financial analysis training.

What tools do financial analysts actually use?

Excel is still the dominant tool in most finance roles. Beyond Excel, analysts use Bloomberg Terminal for market data, Python or R for data-intensive work, and various financial modeling platforms. The Corporate Finance Institute covers Excel-based financial analysis in depth. Most of the courses listed above also teach Excel alongside the analytical frameworks — so you build both simultaneously.

The path is clearer than it looks. Start with Khan Academy's core finance section or CFI's free fundamentals course. Then move into Financial Analysis and Financial Modeling using MS Excel for the most practical structured training available. Build ratio analysis fluency first. Then move into modeling. The order matters more than the pace.