Complete 2-in-1 Python for Business and Finance Bootcamp (Udemy.com)

Data Science, Statistics, Hypothesis Tests, Regression, Simulations for Business & Finance: Python Coding AND Theory A-Z

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Created by: Alexander Hagmann

Produced in 2021

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

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Course Description

Hi and welcome to this Course!
This is the first-ever comprehensive Python Course for Business & 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 & Finance world. This isnt just a coding course. You will understand and master all required theoretical concepts behind the projects and the code from scratch. 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, Asset Pricing & Factor Models, Value-at-Risk) Statistics (descriptive & inferential statistics, Confidence Intervals, Hypothesis Testing, Normal Distribution & Students 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!).
Learning and mastering essential theories and concepts in Business, Finance, Statistics and Regression is way easier and more effective with Python as you can simulate, visualize and dynamically explain the intuition behind theories, math and formulas. This course covers in-depth all relevant and commonly used Python Data Science Packages: Python from the very Basics (Standard Library)Numpy and Scipy for Numeric, Scientific, Financial, Statistical Coding and SimulationsPandas to handle, process, clean, aggregate and manipulate Tabular (Financial) Data. You deserve more than just Excel!
statsmodels to perform Regression Analysis, Hypothesis Testing and ANOVAMatplotlib and Seaborn for scientific Data VisualizationThis course isnt just videos:
Downloadable Jupyter Notebooks with thousands of lines of codeDownloadable PDF Files containing hundreds of slides explaining and repeating the most important concepts Downloadable Jupyter Notebook with hundreds of coding exercises incl. hints and solutionsI strictly follow one simple rule in my coding courses: No code without explaining the WHY. You wont hear comments like "...
thats the Python code, feel free to google for more background information and figure it out yourself". Your boss, your clients, your business partners and your colleges dont accept that. Why should you ever accept this in a course that builds your career? Even the best (coding) results have only little value if they cant be explained and sold to others. I am Alexander Hagmann, Finance Professional and best-selling Instructor for (Financial) Data Science and Finance with Python. Students who completed my courses work in the largest and most popular tech and finance companies all over the world. From my own experience and having coached thousands of professionals and companies online and in-person, there is one key finding: Professionals typically start with the wrong parts of the Python Ecosystem, in the wrong context, with the wrong tone and for the wrong career path.
Do it right the first time and save time and nerves! What are you waiting for? There is no risk for you as you have a 30 Days Money Back Guarantee.
Thanks and looking forward to seeing you in the Course!
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 RolesResearchers who need to analyze large data sets and perform statistical & regression analysisEveryone who want to complement/replace Excel at work to increase productivityEveryone who want to get the full picture: Coding and underlying Theory (Statistics, Regression, Finance)

Time: 37h

Instructor Details

Alexander Hagmann

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Alexander is a Data Scientist and Finance Professional with more than 9 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
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.
Alexanders courses have one thing in common: Content and concepts are practical and real-world proven. The clear focus is on acquiring skills and understanding concepts rather than memorizing things.
Alexander holds a Masters degree in Finance and passed all three CFA Exams (he is currently no active member of the CFA Institute).