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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
4.6
4.6/5
(766 reviews)
8,158 students
Created by

9.8

Classbaze Grade®

10.0

Freshness

8.8

Popularity

10.0

Material

Data Science
Platform: Udemy
Video: 37h 25m
Language: English
Next start: On Demand

Best Finance Fundamentals classes:

Classbaze Rating

Classbaze Grade®

9.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

10.0 / 10
This course was last updated on 6/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.8 / 10
We analyzed factors such as the rating (4.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

10.0 / 10
Video Score: 10.0 / 10
The course includes 37h 25m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 2 hours 58 minutes of 198 Finance Fundamentals courses on Udemy.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

40 articles.
65 resources.
0 exercise.
0 test.

In this page

About the course

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!

What can you learn from this course?

✓ 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

What you need to start the course?

• 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)

Who is this course is made 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)

Are there coupons or discounts for Complete 2-in-1 Python for Business and Finance Bootcamp ? What is the current price?

The course costs $17.99. And currently there is a 82% discount on the original price of the course, which was $99.99. So you save $82 if you enroll the course now.
The average price is $19.1 of 198 Finance Fundamentals courses. So this course is 6% cheaper than the average Finance Fundamentals course on Udemy.

Will I be refunded if I'm not satisfied with the Complete 2-in-1 Python for Business and Finance Bootcamp course?

YES, Complete 2-in-1 Python for Business and Finance Bootcamp has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Complete 2-in-1 Python for Business and Finance Bootcamp course, but there is a $82 discount from the original price ($99.99). So the current price is just $17.99.

Who will teach this course? Can I trust Alexander Hagmann?

Alexander Hagmann has created 14 courses that got 8,214 reviews which are generally positive. Alexander Hagmann has taught 71,877 students and received a 4.6 average review out of 8,214 reviews. Depending on the information available, we think that Alexander Hagmann is an instructor that you can trust.
Data Scientist | Finance Professional | Entrepreneur
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.
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).   
Browse all courses by on Classbaze.

9.8

Classbaze Grade®

10.0

Freshness

8.8

Popularity

10.0

Material

Platform: Udemy
Video: 37h 25m
Language: English
Next start: On Demand

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