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
Created by: Alexander Hagmann
Last updated December 2025
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
How it compares
Against the other 388 rated Udemy courses in Python on CourseDuck:
- Rating4.6 out of 5higher than 70% of them
- Reviews1,272#163 of 389 by number of reviews
- Length37.8 hourslonger than 93% of them
- Last updatedDecember 2025more recently than 74% of them
Course Description
Hi and welcome to this 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.
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, Portfolio Optimization, Asset Pricing & Factor Models, Value-at-Risk)
Statistics (descriptive & inferential statistics, Confidence Intervals, Hypothesis Testing, Normal Distribution & Student´s 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 Simulations
Pandas to handle, process, clean, aggregate and manipulate Tabular (Financial) Data. You deserve more than just Excel!
statsmodels to perform Regression Analysis, Hypothesis Testing and ANOVA
Matplotlib and Seaborn for scientific Data Visualization
This course isn´t just videos:
Downloadable Jupyter Notebooks with thousands of lines of code
Downloadable PDF Files containing hundreds of slides explaining and repeating the most important concepts
Downloadable Jupyter Notebook with hundreds of coding exercises incl. hints and solutions
I strictly follow one simple rule in my coding courses: No code without explaining the WHY. You won´t hear comments like "...that´s 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 don´t 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 can´t be explained and sold to others.
I am Alexander Hagmann, Finance Professional and best-selling Instructor for (Financial) Data Science, Finance with Python and Algorithmic Trading. 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!
Instructor Details
- 4.6 Rating
1,272 Reviews
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 a Bestselling Udemy Instructor for
- Algorithmic Trading
- Data Analysis/Manipulation with Pandas
- (Financial) Data Science
- Python for Business and Finance
- ChatGPT and other AI tools
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.
Alexander´s 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 Master´s degree in Finance and passed all three CFA Exams (he is currently no active member of the CFA Institute).
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Reviews
By Terry Middleton on 5/19/2024
Another excellent course by the author. I've taken several of his courses and they are all excellent. Also, the collection of Jupyter notebooks data makes an easy to use reference on how to do something if you forget. Although there are plenty of opportunities to practice what you are taught, I would still like to see more quizzes built into the course since sometimes I feel like too much information was covered prior to the next practice opportunity. But all in all it's a great course.
By Christopher Weiler on 11/4/2023
This course is a very thorough introduction to python programming specific to financial analysis. I had some knowledge of python prior to taking it as well as extensive financial industry credentials and experience and found it to be very informative. The instructor is very knowledgeable and knows how to convey that knowledge clearly with good examples. Highly recommended.
By Miguel Angel Gonzalez Fernandez on 4/19/2022
Personally, this was the first time using Python, without any previous experience at coding, and this course take you step by step to understand why you use each of the codes. I highly recommend it, not only for beginners, but also for people in the finance field that want to enhance their skills. Thank you.
By Dejan McCreery on 12/20/2021
Excellent. I held off rating this until I'd taken other courses to see how this compared. Hagmann is the best tutor on the site for this stuff by a mile. Portilla is close but not that close. Excellent codebase, exercises at crucial points, notebooks super helpful, and teaches excellently. Solid delivery, explained simply and effectively, and structured brilliantly. Just a brilliant job. Many many thanks Alex.
By Thomas Cilento on 11/3/2021
Great course for learning Python, especially if you have a finance background. It was perfect for me since the concepts are not new, but the programming was. To anyone starting this, I recommend having at least some statistical knowledge and familiarity with basic financial concepts. Otherwise, I can see how you might get lost when introduced to them for the first time.
By Rabia on 12/28/2020
Good offering! Very relevant course for someone who is willing to learn Python and see its application in Finance. I am yet to find another course in Python libraries (Numpy, Matplotlib, Pandas) from a Finance perspective. I haven’t still completed the course, but Udemy is irritatingly persistent in asking for a review so here I am. Good offering! Very relevant course for someone who is willing to learn Python and see its application in Finance. I am yet to find a course in Python libraries (Numpy, Matplotlib, Scipy, Pandas, XLWings [another course by Alex]) from a Finance perspective. Alex keeps updating the course material with time. He is very prompt in responding to questions and trouble shoots technical issues . One can verify this by checking the last update section when browsing through the course before deciding to purchase it. The videos are produced nicely. If one knows finance and statistics concepts that are covered in the course, then learning python syntax and the coding structure through the video lectures becomes easier. I would love to see this course build more real-world projects that would allow course takers to see at work the real power of python and its libraries. Who should take this course? i. Well, you know nothing about Python and are curious to learn the language. ii. If you have no coding background, then this course will walk you through the basic steps as Python is a high level language easier to understand. iii. If you have some coding background in other programming languages and would want to learn about Python then this course will bring you up to speed. iv. If you are a finance major and would like to see the possibilities of how to apply Python in your daily job. Mind you, the capital budgeting finance concepts covered in the course are very basic, however, it opens up the possibilities of looking at other aspects in your current role to apply Python.
By Ray Ronnaret on 10/14/2020
The organization of the course is not well managed, the content also not enough for catchup after VDO. The presentation and demo in VDO also very confusing and lost the focus to the main point. His tone also make me sleepy, not excite the audience for the long run, after 20-40 min I feel very annoying. At the end of each section or ever at the end of the course, there is no summarized.
By Rishabh Kodwani on 4/16/2020
Reviewing after completing 20% of the course. I am a finance guy and I know that in my field, knowing just finance is not enough, programming is becoming an essential part if you wanna sustain in the finance industry for the long term. Keeping this in mind, I started learning python in-depth and enrolled myself in this course. I have done a lot of online courses and this is the best course I have ever come across. I am learning so much every day. Alex teaches very practically and you can apply those learnings in your current or upcoming job in finance. Trust me what you will be paying for this course will be worth it!
By Amogh Athalekar on 2/22/2020
Probably the Best Python for Finance course on Udemy! Alex's method of teaching the theory first and then it's appplication on real data sets and then interpreting its implications is the ideal way to learn Python for any finance professional or someone exploring Quant finance. Alex has carefully curated the course content keeping in mind that this course may be taken my people with no prior programming knowledge/experience. Looking forward to more updated content!
By Jason Williamson on 1/20/2020
Alex does a great job starting from the basics - assuming the person does not know much about finance and Python. I am well versed in the Finance space but it was very helpful in knowing how to code the most basic concepts (PV and FV for example) first in Python and build from there. He gets into regression analysis in the latter parts of the course and how to accomplish this using Python with the appropriate libraries all using real world examples. Keep up the great work!
Quality Score
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Overall Score : 92 / 100









