Complete 2-in-1 Python for Business and Finance Bootcamp
Master programming & development from fundamentals to advanced concepts with this comprehensive course.
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About This Course
**Latest course update and full review in August 2025. Now with more than 30 Udemy Online Coding Exercises - NEW Feature. **Hi and welcome to this Course.
This is the first-ever comprehensive Python Course for Business and Finance Professionals. You will learn and master Python from Zero and the full Python Data Science Stack with real Examples and Projects taken from the Business and Finance world. This isn´t just a coding course.
You will understand and master all required theoretical concepts behind the projects and the code from scratch. Important: the quality Benchmark for the theory part is the CFA (Chartered Financial Analyst) Curriculum. The Instructor of this course holds a Master´s Degree in Finance and passed all three CFA Exams.
In this course, we leave absolutely no room for wrong/dubious (but frequently promoted) practices like LSTM stock price predictions or using stock prices in linear regressions. You will become an expert not only in Python Coding but also in Business & Finance (Time Value of Money, Capital Budgeting, Risk, Return & Correlation, Monte Carlo Simulations, Quality and Risk Management in Production and Finance, Mortgage Loans, Annuities and Retirement Planning, Portfolio Theory, Portfolio Optimization, Asset Pricing & Factor Models, Value-at-Risk) Statistics (descriptive & inferential statistics, Confidence Intervals, Hypothesis Testing, Normal Distribution & Student´s t-distribution, p-value, Bootstrapping Method, Monte Carlo Simulations, Normality of Returns)Regression (Covariance & Correlation, Linear Regression, Multiple Regression and its pitfalls, Hypothesis Testing of Regression Coefficients, Logistic Regression, ANOVA, Dummy Variables, Links to Machine Learning, Fama-French Factor Models) This course follows a mutually reinforcing concept: Learning Python and Theory simultaneously: Learning Python is more effective when having the right context and the right examples (avoid toy examples. ).
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