From finance to e-learning, Python has become a favorite programming language for experts and developers, especially for finance professionals. Fintech companies had adopted Python for quantitative and qualitative analysis for asset price trends. Are you thinking of learning Python for Finance? Then, you are in the right place. I have prepared a list of the Best Python for Finance Courses and Certifications for you.
But you still may have a question: why Python for finance?
FinTech professionals use Python for finance, including Risk Managers, Portfolio Managers, and Financial Analysts. Those who work with data, such as Data Scientists, use it in finance technology, also known as fintech.
It is estimated that according to the U.S. Bureau of Labor Statistics (BLS), Financial Analysts earn around $95,000 per year. According to the BLS, there is a 9% increase in demand for Financial Analysts between 2021 and 2031, making this an ideal time to pursue this rewarding career.
Financial Analysts are the professionals who guide businesses and help them achieve profitability and long-term financial stability. Using Python, they can manipulate financial data, build risk management models, and apply statistical models to use. If you are a financial analyst and have no experience in Python programming, you can also check the article Best Python Course for Beginners. Understanding Python’s influence on the finance sector will help you stand out from the crowd whether you’re looking to start a new career in finance or fintech or advance an existing one.
Table of Content
- 1 Best Python for Finance Courses, Certification, Tutorials, Training, Classes Online
- 1.1 Introduction to Python for Finance [DataCamp]
- 1.2 Python and Statistics for Financial Analysis [Coursera]
- 1.3 Analyze Financial Data with Python [Codecademy]
- 1.4 Python for Finance Investments Fundamentals [Udemy]
- 1.5 Python for Finance and Algorithm Trading [Udemy]
- 1.6 Machine Learning with Python for finance professionals [edX]
- 2 FAQ
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Best Python for Finance Courses, Certification, Tutorials, Training, Classes Online
- Best Overall Introduction to Python for Finance [DataCamp]
- Best Runner-up Python and Statistics for Financial Analysis [Coursera]
- Best for Beginner Analyze Financial Data with Python [Codecademy]
- Best for Investment Python for Finance Investments Fundamentals [Udemy]
- Best for Trading Python for Finance and Algorithm Trading [Udemy]
- Best for Working Professional Machine Learning with Python for finance professionals [edX]
Introduction to Python for Finance [DataCamp]
Introduction to Python for Finance is an ultimate guide to build your proficiency in Python and learn about the world of the Financial Industry. Python is a general-purpose programming language that is best suited for understanding trading dynamics and quantitative analysis. You will learn the fundamentals of Python and financial analysis.
Course Instructor
Adina Howe is an assistant professor and Data Scientist who created this Datacamp Python for Finance Course. It introduces you to Python as a powerful tool to store and manipulate financial data. You will develop foundational knowledge of using Python for stock trading and identify trends. Students get to sharpen their practical skills on case studies and real-world projects.
Pros & Cons
Pros
- Get a case study to implement the knowledge
- Unlimited access to exercises and video lectures
- Certificate on Completion
Cons
- Brief Course
Key Highlights & USPs
- There are 5 chapters in this DataCamp Introduction to Python course, which is part of Finance Fundamentals in Python. The chapters are as follows:
- Welcome to Python
- Lists
- Arrays in Python
- Data Visualization in Python
- S and P 100 Case Study
- Learn to run code in Python and its advantages for finance and how to name variables and data types in Python.
- Create lists in Python to store data and analyze them and be able to use Numpy for efficiently manipulating arrays.
- Create lists in Python to store data and analyze them.
- Learn to use Numpy for efficiently manipulating arrays.
- Introduce you to the Matplotlib package for creating line plots, scatter plots, and histograms.
- Get a chance to apply learned techniques on the S&P 100 data. You get free access to 14 videos, 55 practice exercises, and mentor support.
Who is it for?
This online python for finance course is best for beginners and financial professionals who want to add a programming skill to their portfolio. After completion of the course, you will be able to perform practical financial analysis based on Python skills. In the finance industry, these skills are highly rewarded.
Rating: 4.4/5
Students Enrolled: 34,485
Duration: 4 hours
Python and Statistics for Financial Analysis [Coursera]
If you are eager to know how Python works for Financial Analysis, this Coursera online course is a good start. The Financial Industry has adopted Python for general-purpose programming and analyzing Financial data. You will learn how Python’s simplicity and high readability gained importance to solve real-world financial problems. This Python and Statistic for Financial Analysis Syllabus cover all the basic concepts of Python programming and Statistics analysis used for manipulating Stock Data.
Course Instructor
This Python for Finance Coursera Program is created by Xuhu Wan to use Python to import, manipulate and visualize stock data. Students will get to know how Finance and Data Analysis work together. It also offers you an opportunity to explore subjects related to Data Analysis and Data Visualization. Before starting, you all need to install the Jupyter Notebook environment to practice Python Coding.
What You’ll Learn
This Coursera Python for Financial Analysis Course comprises 4 modules, each will cover different topics as follows:
- Visualizing and Munging Stock Data: This module will teach basic Python to import, manipulate and visualize stock data. Python is an easy to understand programming language, which turns out to be popular for finance analysis and trading models.
- Random Variables and Distribution: This module will help you examine the fundamental ideas of random variables and explore probability in greater detail.
- Sampling Inference: In this module, you will comprehend the fundamental ideas of statistical inference, including population, samples, and random sampling, in this module.
- Linear Regression Models for Financial Analysis: With this module, you will examine linear regression, the most popular prediction technique.
Pros & Cons
Pros
- Free to enroll for anyone
- Certificate on Completion
- Financial Aid Available
Cons
- Quite fast paced for beginners
Key Highlights & USPs
- Learn to visualize and manage stock data using Python and build quantitative models to predict returns and evaluate investment risks.
- Build quantitative models to predict returns and evaluate investment risks.
- Explore random variables and probability concepts to measure the risk of investing stock.
- Understand the basic elements of Statistical Inference such as samples, population, and random sampling.
- Build multiple linear regression models to indice the global market and price change.
- Test your model’s performance of the stock trading model and evaluate them using investment indicators.
- Get full access to 6 reading materials, 22 video lectures, and 5 quizzes to practice what you’ve learned.
Who is it for?
This Python and Statistics for Finance Course is for anyone who wants to develop knowledge of Python and Statistical Analysis. It is an intermediate-level Python Finance tutorial that requires knowledge of Probability and Statistics. Any finance expert can enroll to add Python programming Skills to their job profile and use Python coding and statistical knowledge to analyze financial data.
Rating: 4.4/5
Students Enrolled: 105,105
Duration: 13 hours
Analyze Financial Data with Python [Codecademy]
Financial analysts have become fond of Python as the fastest-growing programming language to process, analyze, and visualize financial data. This Codecademy Python for Finance Course teaches you the world’s best coding language to use in Finance. You will get to introduce Python libraries such as Numpy and Pandas to quicken Financial analyses. Coding is the future of finance companies and learning this skill will land you a high-paying job as an expert Python finance analyst.
Course Instructor
This Analyze Financial Data with Python Program is created to improve your Python skill so you can use it to evaluate the investment risk and expected return on assets. It will enable learners to stay ahead in the Financial Industry and look out to get Python finance jobs. It is a perfect chance to build your portfolio and become a financial analyst.
Pros & Cons
Pros
- Able to optimize your portfolio
- Certificate of completion
Cons
- Lengthy: Can take up to 6 months
Key Highlights & USPs
- This Financial Analysis with Python Course has 6 modules to teach how to use Python for processing, analyzing, and visualizing financial data faster than ever.
- Introduction to Python
- Introduction to NumPy
- Fundamentals of Pandas
- Visualizing Finance Data
- Regression and Statistical Modelling
- Capstone Project
- Learn to use Python and APIs for handling multi-dimensional arrays and matrices.
- Discover how Pandas works for Data Manipulation and access financial data.
- Understand the concepts of the Matplotlib library to optimize a portfolio of stocks and data visualization.
- Learn statistical modeling techniques to estimate relationships between variables.
- Build projects related to US financial health and analyzing stock data, If you bought Codecademy pro.
- Complete a free Capstone project to test your financial and programming skills.
Who is it for?
Take this Financial Analysis with Python Course is designed for finance professionals who want to automate financial analyses and learn quantitative finance. You can try it for free as a Python beginner with no experience in programming. In the end, the course will prepare you to evaluate the risk and expected return on assets using Python, visualize optimal asset allocations, and scale your work.
Rating: 4.7/5
Students Enrolled: 24,682
Duration: 3 months, 12 hours/week
Python for Finance Investments Fundamentals [Udemy]
Kickstart your career with this Udemy Python for Finance Course. You will learn the Python programming language to conduct financial analysis. It is one of the most interesting courses to understand how Python is used for tackling financial calculations and stock portfolio tasks. This complete python training program covers all the basics to brush your Python skills for real-world financial analytics. It will help you with tools and techniques used by Finance professionals.
Course Instructor
365 careers created this Python Finance program for teaching the Investments Fundamentals and enter yourself into the world of finance. They are the bestselling course provider of business, finance, and data science courses on Udemy. This Python for Finance Course is specially designed to start coding in Python for finance analysis under the experienced instructors from Data Science and Finance.
Pros & Cons
Pros
- Get access to 80+ downloadable resource
- Engaging and high-end material
Cons
- No free auditing
Key Highlights & USPs
- This Udemy Python for Financial and Data Analysis is divided into 20 sections and has 133 video lectures to conduct real-world financial analysis in Python.
- Learn Python from scratch and write the basic code and build a deep understanding of how to use Python Advanced tools.
- Calculate and compare rates of return in Python and master the art of measuring Investment Risk techniques using Python.
- Build knowledge of how to use simple regression for financial analysis.
- Learn about Markowitz Portfolio Optimization Theory and Capital Asset Pricing Model ( CAPM)
- Understand how to use Monte Carlo Simulations for decision making in Finance.
- Full lifetime access to 42 downloadable resources, 1 article, and practice experiences to make it an interactive experience.
Who is it for?
It is one of the python for finance tutorial for aspiring data scientists, amateur programmers and graduates who are interested in finance and investments. If you are a finance professional and have no prior knowledge of Python, you can opt for this to learn code and apply your skills. It’s a great opportunity to separate yourself from others. Upon completion, you will be ready to take on responsibilities including portfolio optimization and financial calculations.
Rating: 4.6/5
Students Enrolled: 106,107
Duration: 9 hours
Python for Finance and Algorithm Trading [Udemy]
This Data Analyst program will help you Udemy brings you a fantastic course to pursue financial analysis using Python. You will learn how to use Python for Finance and Algorithm Trading. You will get a deep knowledge of various core libraries used in the Python-Finance ecosystems like Pandas, Numpy, Matplotlib, stats models, zipline, and more. You get to use rigorous methods and python fundamentals for finance. You will start from the Python crash course to build programming skills and a deep understanding of language.
Course Instructor
Jose Portilla created this Python Finance Course to guide you on how Python is used for portfolio optimization and Capital Asset Pricing Model. It is professionally designed to teach students topics that you can proceed and apply.
Pros & Cons
Pros
- Lifetime access
- Certificate on Completion
Cons
- Quantopia platform no longer available
Key Highlights & USPs
- This Udemy Python for Financial Analysis Online Course is a quick course with 14 sections and 120 lessons that last between a minute and 20 minutes each.
- Learn to use Numpy to work with Numerical Data and how to calculate financial statistics and the Sharpe ratio.
- Use Matplotlib to create plots and Pandas for data visualization and be able to use basic Algorithm Trading techniques with Quantopian and Zipline.
- Learn about Basics of Algorithm Trading with Quantopian and Zipline.
- Understand how ARIMA models and statsmodels work for Time Series Data.
- Build practical knowledge with projects such as Capstone Stock Market Analysis Project.
- Get full lifetime access to 9 articles, 2 downloadable resources, and practice assignments to strengthen Python skills.
Who is it for?
This online Python Trading Algorithm Course is perfect for Python developers and Financial Analysts who want to use Python for financial analysis and explore the world of algorithm trading. There are prior requirements of programming knowledge and basic statistics to enroll. With successful completion, you will earn a certificate to showcase your Python skills for finance and algorithm trading.
Rating: 4.4/5
Students Enrolled: 107,225
Duration: 16 hours
Machine Learning with Python for finance professionals [edX]
edX introduces you to this intermediate-level Python for Finance course to expand your knowledge. This Machine Learning Course focuses on delivering Python skills and learn to do financial analysis using Python for your business. It will develop digital finance knowledge that has become an essential skill to acquire for finance professionals. You will get an overview of how machine learning using Python transforms business and partners with data scientists to bring customer-focused results.
Course Instructor
This Machine Learning with Python Course is provided by the Association of Chartered Certified Accountants, the global body for professional accountants. It revolves around machine learning and how to use Python to create customer-centric strategies. You will quickly become proficient using Machine Learning tools for statistical analysis and stock trading.
Pros & Cons
Pros
- Access to end assessments and module quizzes
- Certificate on Completion
Cons
- Limited access in the free audit
Key Highlights & USPs
- This edX Machine Learning with Python Course has 4 modules to teach machine learning with Python for finance professionals, including:
- Introductions to Python
- Python for Data Analysis
- Automating Excel using Python
- Introduction to Python foundational concepts like data types, variables, operators, and functions.
- Learn to use Python for data analysis and libraries for Data visualization.
- Automate excel spreadsheets using the power of the Python ecosystem.
- How to interrogate a machine learning model using data science and Python.
- Understand how machine learning algorithms work to reduce the time for real-world problems.
- Get a chance to apply learned skills to real-life examples to meet practical objectives.
- Unlimited access to 16 Jupyter Notebooks along with solution ones, module quizzes, bonus exercises, and final assessment to check your performance.
Who is it for?
This ML with Python for finance training is for finance professionals to upgrade their careers. There are no prerequisites for learning machine learning and improving your financial tactics for business. Having computer skills and basic knowledge of Python would be helpful. With the completion of this edX Python training course, learners will be able to deploy machine learning models and use Python skills for financial analysis and save time in the organization. If you want to learn machine learning in-depth, check out the list of Best Machine Learning Courses.
Rating: 4.3/5
Students Enrolled: 24,682
Duration: 5 weeks, 5 hours/week
FAQ
Is learning Python good for finance?
Yes, It is good to learn Python for finance. Python is an easy-to-understand language. That makes it perfect for handling financial applications and reduces error when developing products for financial companies. It is a powerful tool to perform sophisticated financial calculations and build stock trading strategies using python trading algorithms.
It has a rich ecosystem of tools and libraries that saves time and money for developers to build banking software. It also helps financial analysts to predict cryptocurrency prices using financial data.
Where can I learn Python for Finance?
You can learn Python for Finance by taking any course from the above list of top Python for Finance Courses and Certifications. You can check out top sites such as Udemy, Coursera, and Edx to educate you on how Python works for Finance.
Should I learn SQL or Python finance?
SQL and Python are the most-sought languages to get data insights and fetching records that come in various forms such as plain text, CSV files, web pages. Both languages have their pros and cons. SQL is used for extracting data and drawing calculations using insights.
But, you cannot use SQL for performing data manipulations and conducting data visualization. Python has libraries and packages that facilitate data analysis and statistical analysis. You can further check Best SQL Courses to learn about SQL and how it’s different from Python.
Is Python Important for Finance?
Python has become important for fintech startups and finance companies to handle analytics, regulation, compliance, and data.
How long does it take to learn Python finance?
It takes around two to six months to learn the fundamentals of Python and grasp enough programming skills to write a Python code in minutes. But to master Python, you would need to spend more than a few months or years pursuing its libraries and tools. You can take any course from the list of Best Python Courses and Certification from Geektonight to dive into the pool filled with concepts and packages of Python.
Is there any free course for Python?
Yes, there are many free Python Courses available out there. You can check out the best free online Python courses from popular websites like Udemy, Udacity, Coursera, and more. If you want to learn more, you can check the lists of both paid and free courses available on Geektonight.
It’s never too late to start something new. I hope this article answers all your questions for finance experts who are willing to learn Python as a programming language. Any student or beginner can become a part of this small crowd. If there’s any course left, please let me know in the comment section. Keep reading!
