Analyze Stocks with Pandas, Numpy, Seaborn & ChatGPT. Create, analyze & optimize Index & Portfolios (CAPM, Alpha, Beta)
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Manage Finance Data with Python & Pandas: Unique Masterclass
Save on Manage Finance Data with Python & Pandas: Unique Masterclass with a verified Udemy coupon (checked January 2026). See current price, availability and course details.
by Alexander Hagmann · ⭐ 4.6 via Udemy · 12,979 students · English
$9.99$119.9992% OFF
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Code auto-applies at Udemy checkout
✓ 92% discount manually re-verified, not an estimate.
✓ Certificate + lifetime access included by Udemy.
⚠ Redemption-limited — can run out without notice.
Price history First-party data
Tracked since August 8, 2025 to January 5, 2026. Red dot = current price ($9.99) — CoursesWyn records the price on each sync.
Current price
$9.99
Original price
$119.99
Tracked since
August 8, 2025
Last checked
Jan 5
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on January 5, 2026. Prices are always confirmed at checkout on the provider’s site.
Deal score Computed, methodology below
8.9
/ 10
Discount depth
92%
Udemy rating
4.6 / 5
Popularity
12,979 students
Tracking length
382 days
Score = weighted average of discount depth, how often CoursesWyn re-checks this code, historical price volatility, and how fast past redemptions were claimed. Not an editorial opinion on the course itself.
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Aug 8, 2025Listed by CoursesWyn — price recorded at $9.99Listed
Jan 5, 2026Coupon checked — checkout price $9.99 · listed until Jan 31Working
Course details Synced from Udemy
Fields below are pulled from Udemy’s public catalog and recorded when CoursesWyn syncs — they are catalog data, not editorial description.
| Last checked | January 5, 2026 |
| Offer ends | Listed until January 31 |
| Provider | Udemy |
| Level | All Levels |
| Rating | 4.6 / 5 |
| Students | 12,979 |
| Content | 29 hours 30 minutes |
| Language | English |
| Requirements | No specific Finance knowledge needed! The course intuitively explains the major fundamentals of Finance and Portfolio Theorie based on data examples. · Ideally some Spreadsheet Basics/Programming Basics (not mandatory, the course guides you through the basics) |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
Key Topics Covered From the course description
Step into the Financial Analyst role and give advice on a client´s financial Portfolio (Final Project)
Import large Financial Datasets / historical Prices from Web Sources and analyze, aggregate and visualize them
Calculate Return, Risk, Correlation and Rolling Statistics for Stocks, Indexes and Portfolios
Create, analyze and optimize financial Portfolios and understand the use of the Sharpe Ratio
Intuitively understand Modern Portfolio Theory (CAPM, Beta, Alpha, CML, SML, Risk Diversification) with Real Data examples
Create Interactive Price Charts with Technical Indicators (Volume, OHLC, Candlestick, SMA etc.)
Create Financial Indexes (price-, equal- and value- weighted) and understand the difference between Price Return and Total Return
Easily switch between daily, weekly, monthly and annual returns and understand the benefits of log returns
Start from Zero and learn all the Basics of the powerful Pandas Library
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Coupon & redemption FAQ
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