In this course, you will learn everything you need to know about Python coding in a Business, Finance, and Data Science context.
The topics included are Python fundamentals. Numpy and Scipy for Financial, Simulations, Statistical, Numeric, and Scientific Coding. Work with statsmodels for ANOVA, Hypothesis Testing, Regression Analysis. Master Seaborn and Matplotlib for Data Visualization.
Understand how to use stats, how to use Pandas, how to use Numpy and Scipy, how to use Python Data Science Libraries and Packages, how to use the Bootstrapping method, how to use statsmodels, and more.
Learn to code and solve real-world problems by working with Business, Finance & Statistics projects. Create Plots and Visualizations using Matplotlib and Seaborn.
Everything is taught from scratch therefore no previous experience in Python Programming is required. All you need is a working PC with an internet connection and your eagerness to learn.
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Size: 10.96 GB