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Complete 2-in-1 Python for Business and Finance Bootcamp

Data Science, Statistics, Hypothesis Tests, Regression, Simulations for Business & Finance: Python Coding AND Theory A-Z
4.8 ★★★★★13,314 studentsCreated by Alexander HagmannLast updated Oct 15, 2025🌐 English

What you'll learn

✓Learn Python coding from Zero in a Business, Finance & Data Science context (real Examples)
✓Learn Business & Finance (Time Value of Money, Capital Budgeting, Risk, Return & Correlation)
✓Learn Statistics (descriptive & inferential, Probability Distributions, Confidence Intervals, Hypothesis Testing)
✓Learn how to use the Bootstrapping method to perform hands-on statistical analyses and simulations
✓Learn Regression (Covariance & Correlation, Linear Regression, Multiple Regression, ANOVA)
✓Learn how to use all relevant and powerful Python Data Science Packages and Libraries
✓Learn how to use Numpy and Scipy for numerical, financial and scientific computing
✓Learn how to use Pandas to process Tabular (Financial) Data - cleaning, merging, manipulating
✓Learn how to use stats (scipy) for Statistics and Hypothesis Testing
✓Learn how to use statsmodels for Regression Analysis and ANOVA
✓Learn how to create meaningful Visualizations and Plots with Matplotlib and Seaborn
✓Learn how to create user-defined functions for Business & Finance applications
✓Learn how to solve and code real Projects in Business, Finance & Statistics
✓Learn how to unleash the full power of Python and Numpy with Monte Carlo Simulations
✓Understand and code Sharpe Ratio, Alpha, Beta, IRR, NPV, Yield-to-Maturity (YTM)
✓Learn how to code more advanced Finance concepts: Value-at-Risk, Portfolios and (Multi-) Factor Models
✓Understand the difference between the Normal Distribution and Student´s t-distributions: what to use when

Requirements

•No (Python) Coding required. This Course starts from complete zero und teaches you everything from scratch.
•No specific Business/Finance, Statistics & Data Science knowledge needed! The course intuitively explains basic and advanced concepts.
•A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
•An internet connection capable of streaming videos.
•Some high school level math skills would be great (not mandatory, but it helps)

Description

Frequently Asked Questions

Student Feedback

4.8
★★★★★
Course Rating
75%
15%
5%
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Sarah J.
★★★★★2 weeks ago

This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.

M
Michael T.
★★★★1 month ago

Great content, highly recommended for beginners. Just wish there were more practice exercises.

D
David K.
★★★★★2 months ago

Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).

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Complete 2-in-1 Python for Business and Finance Bootcamp
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This course includes:
  • 📺 37h 30m on-demand video
  • 📱 Access on mobile and TV
  • ♾️ Full lifetime access
  • 🏆 Certificate of completion