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
4.49 (1149 reviews)
12,921
students
37.5 hours
content
Mar 2025
last update
$99.99
regular price
What you will 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
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Related Topics
2516506
udemy ID
8/19/2019
course created date
11/18/2019
course indexed date
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