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Python Finance Courses

Study Python for financial analysis and modeling. Learn to use Python for quantitative finance, risk management, and investment analysis.

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Find the best Python Finance course for your goals

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    43K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDHEC Business School

    Introduction to Portfolio Construction and Analysis with Python

    Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Risk Analysis, Financial Modeling, Risk Management, Financial Analysis, NumPy, Probability Distribution, Python Programming, Simulations, Pandas (Python Package), Matplotlib, Data Manipulation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Google Data Analysis with Python

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Data Wrangling, Package and Software Management, Data Analysis, Data Transformation, Unstructured Data, JSON, Object Oriented Programming (OOP), Data Science, Python Programming, Computer Programming, Programming Principles, Data Import/Export, Software Design, Data Validation, Mathematical Software, Computational Logic, Data Structures

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Pearson

    Skill Up with Python: Web Development Recipes

    Skills you'll gain: Full-Stack Web Development, Flask (Web Framework), Web Applications, Real Time Data, Web Development, Restful API, Application Development, Application Programming Interface (API), Back-End Web Development, API Design, Python Programming, Server Side, JSON

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The Hong Kong University of Science and Technology

    Python and Statistics for Financial Analysis

    Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Probability Distribution, Python Programming, Data Visualization

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDHEC Business School

    Investment Management with Python and Machine Learning

    Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Applied Machine Learning, Asset Management, Network Analysis, Data Visualization Software, Financial Data, Market Data, Unstructured Data, Web Scraping, Machine Learning, Social Network Analysis, Advanced Analytics, Financial Market, Financial Analysis, Financial Modeling, Return On Investment, Risk Analysis, Risk Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.8K reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with Python

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Python Fundamentals

    Skills you'll gain: Matplotlib, Financial Data, Exploratory Data Analysis, Pandas (Python Package), Financial Analysis, Data Visualization Software, Statistical Analysis, Data Manipulation, NumPy, Seaborn, Data Analysis, Data Science, Data Transformation, Python Programming, Data Cleansing, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Programming in Python

    Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Test Driven Development (TDD), Software Testing, Data Structures, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Debugging, Algorithms, Django (Web Framework), Cloud Hosting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N
    G
    G
    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), Financial Market, Artificial Neural Networks

    3.9
    Rating, 3.9 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Python Fundamentals

    Skills you'll gain: Programming Principles, Computer Programming, Data Manipulation, Python Programming, Scripting Languages, Scripting, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    217 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Decentralized Finance (DeFi): The Future of Finance

    Skills you'll gain: Blockchain, Loans, FinTech, Lending and Underwriting, Cyber Risk, Operational Risk, Scalability, Regulatory Compliance, Interoperability, Commercial Lending, Payment Systems, Financial Inclusion, Legal Risk, Exploit development, Derivatives, Key Management, Cryptography, Finance, Entrepreneurial Finance, Entrepreneurship

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2K reviews

    Intermediate · Specialization · 3 - 6 Months

Python Finance learners also search

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1234…205

In summary, here are 10 of our most popular python finance courses

  • Python for Data Science, AI & Development: IBM
  • Introduction to Portfolio Construction and Analysis with Python: EDHEC Business School
  • Google Data Analysis with Python: Google
  • Skill Up with Python: Web Development Recipes: Pearson
  • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
  • Investment Management with Python and Machine Learning: EDHEC Business School
  • Data Analysis with Python: IBM
  • Python Fundamentals: Corporate Finance Institute
  • Programming in Python: Meta
  • Machine Learning for Trading: New York Institute of Finance

Frequently Asked Questions about Python Finance

Python finance courses cover a variety of topics essential for applying Python programming to financial analysis and modeling. These include the basics of Python programming, data manipulation with libraries such as Pandas, and financial data analysis. Learners will explore topics such as time series analysis, portfolio optimization, and risk management. Advanced courses might cover areas like algorithmic trading, machine learning applications in finance, and financial forecasting. Practical exercises and projects help learners apply these concepts to real-world financial scenarios, enhancing their ability to develop and implement Python-based financial solutions.‎

Choosing the right Python finance course depends on your current skill level and career aspirations. Beginners should look for courses that cover the basics of Python programming, data manipulation, and introductory financial concepts. Those with some experience might benefit from intermediate courses focusing on advanced financial modeling, time series analysis, and portfolio management. Advanced learners or professionals seeking specialized knowledge might consider courses on algorithmic trading, machine learning in finance, or preparing for certifications like Chartered Financial Analyst (CFA) with a focus on Python applications. Reviewing course content, instructor expertise, and learner feedback can help ensure the course aligns with your goals.‎

A certificate in Python finance can open up various career opportunities in finance, investment, and technology sectors. Common roles include financial analyst, quantitative analyst, data scientist, and algorithmic trader. These positions involve analyzing financial data, developing financial models, implementing trading algorithms, and applying machine learning techniques to financial problems. With the increasing reliance on data and technology in finance, earning a certificate in Python finance can significantly enhance your career prospects and opportunities for advancement in fields such as investment banking, hedge funds, asset management, and fintech.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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