DataCamp review

DataCamp is the pick for finance learners who suspect their next job will ask for Python. Its Finance Fundamentals in Python track runs 25 hours and teaches data types, lists, arrays and the time value of money, then moves to pandas, NumPy, statsmodels and pyfolio for portfolio and financial analysis, with no prior coding experience needed. Lessons mix short videos with exercises you code in the browser, which suits people who learn by doing. The free Basic plan opens the first chapter of every course, and Premium covers 810+ courses. The US App Store lists a Standard Yearly Subscription at $164.99, about $13.75 a month, though the listing shows several yearly prices. DataCamp does not teach valuation, accounting or deal modeling in the depth that CFI or Wall Street Prep do, and finance is a small slice of a catalog built around data and AI. Pair it with a finance course rather than using it alone.

Who it is for

finance learners who want to analyze data in Python

Price

Standard Yearly Subscription $164.99 on the US App Store (about $13.75 a month); free Basic plan with the first chapter of every course.

Standard Yearly Subscription $164.99
Quoted from the vendor pricing page on November 13, 2026.

Key features

• Finance Fundamentals in Python track, 25 hours
• Covers pandas, NumPy, statsmodels and pyfolio for financial decisions
• No prior coding experience needed for the track
• Free Basic plan with the first chapter of every course
• Access to 810+ courses on Premium

Strengths and weaknesses

• Strength: Hands-on coding exercises in the browser
• Strength: Free Basic plan to try every course's first chapter
• Strength: Teaches the Python skills used in quant and FP&A work
• Weakness: Finance is a small part of a data science catalog
• Weakness: Little coverage of valuation or deal modeling
• Weakness: Several yearly prices are listed in the App Store

Key facts

• Yearly plan: $164.99 (US App Store)
• Finance track: Finance Fundamentals in Python, 25 hours
• Courses: 810+
• Free plan: Basic, first chapter of every course
• Libraries taught: pandas, NumPy, statsmodels, pyfolio

Where it ranks

DataCamp is No. 9 in our Best Online Finance Courses verdict.