Complete 2-in-1 Python for Business and Finance Bootcamp
Complete 2-in-1 Python for Business and Finance Bootcamp Coupon Code. Data Science, Statistics, Hypothesis Tests, Regression, Simulations for Business & Finance: Python Coding AND Theory A-Z
Complete 2-in-1 Python for Business and Finance Bootcamp
Complete 2-in-1 Python for Business and Finance Bootcamp 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.
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
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Who this course is for:
- 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)
Instructor
Alexander Hagmann – Alexander is a Data Scientist and Finance Professional with more than 10 years of experience in the Finance and Investment Industry.
He is also a Bestselling Udemy Instructor for
- Data Analysis/Manipulation with Pandas
- (Financial) Data Science
- Python for Business and Finance
- Algorithmic Trading
Alexander started his career in the traditional Finance sector and moved step-by-step into Data-driven and Artificial Intelligence-driven Finance roles. He is currently working on cutting-edge Fintech projects and creates solutions for Algorithmic Trading and Robo Investing. And Alexander is excited to share his knowledge with others here on Udemy. Students who completed his courses work in the largest and most popular tech and finance companies all over the world.
