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

Created by: Alexander Hagmann
Data Scientist | Finance Professional | Entrepreneur

What Will I 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)

Target audience

• All Business and Finance Professionals (Python is the future)
• Python Developers / Computer Scientists who want to step into Business, Finance & Data Science Roles
• Researchers who need to analyze large data sets and perform statistical & regression analysis
• Everyone who want to complement/replace Excel at work to increase productivity
• Everyone who want to get the full picture: Coding and underlying Theory (Statistics, Regression, Finance)