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    Python Courses

    Python courses can help you learn how to write code for data analysis, automation, web development, and other real-world applications.

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    Find the Best Python Course for Your Goals

    • C

      Coursera Project Network

      Where, Why, and How of Lambda Functions in Python

      Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Python Programming, Functional Specification

      4.8
      Rating, 4.8 out of 5 stars
      ·
      28 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python and Rust with Linux Command Line Tools

      Skills you'll gain: Rust (Programming Language), Serverless Computing, Command-Line Interface, Amazon Web Services, Maintainability, Linux Commands, Unix Commands, Application Deployment, Software Development Tools, Program Development, Python Programming, Performance Tuning, Debugging

      5
      Rating, 5 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Full Stack Application Development Capstone Project

      Skills you'll gain: Full-Stack Web Development, CI/CD, Kubernetes, Application Deployment, Application Development, Front-End Web Development, Restful API, Software Architecture, Microservices, Web Applications, Containerization, Serverless Computing, Cloud Applications, HTML and CSS, Back-End Web Development, Docker (Software), Node.JS, User Accounts, IBM Cloud, React.js

      4.6
      Rating, 4.6 out of 5 stars
      ·
      181 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York Institute of Finance

      Reinforcement Learning for Trading Strategies

      Skills you'll gain: Reinforcement Learning, Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Machine Learning, Financial Market, Time Series Analysis and Forecasting

      3.5
      Rating, 3.5 out of 5 stars
      ·
      240 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      76 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Работа с базами данных в Python

      Skills you'll gain: SQL, Relational Databases, Database Management, Databases, Database Design, Data Visualization, Object Oriented Programming (OOP), Data Processing, Data Modeling, Data Manipulation, Python Programming, Data Structures, Application Programming Interface (API)

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Algorithmic Thinking (Part 1)

      Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Python Programming, Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      381 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Data Analytics with Python

      Skills you'll gain: Matplotlib, NumPy, Python Programming, Data Presentation, Pandas (Python Package), Data Analysis, Data Visualization Software, Scripting, Analytics, Numerical Analysis, Data Manipulation, Real Time Data, Data Processing, Programming Principles, Scripting Languages, Data Cleansing

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Analysis with Python Project

      Skills you'll gain: Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Regression Analysis, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Exploratory Data Analysis, Statistical Methods

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Applied Data Analytics with Python and SQL

      Skills you'll gain: Web Scraping, SQL, Pandas (Python Package), Database Management, Databases, Microsoft SQL Servers, Data Manipulation, Data Analysis, NumPy, Data Visualization Software, Data Processing, Programming Principles, Python Programming, Scripting, Scripting Languages, Data Structures

      Intermediate · Course · 1 - 4 Weeks

    • S

      SAS

      Using SAS Viya REST APIs with Python and R

      Skills you'll gain: SAS (Software), Data Analysis Software, Advanced Analytics, R Programming, Big Data, Image Analysis, Data Science, Time Series Analysis and Forecasting, Natural Language Processing, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Application Programming Interface (API), Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to python

    python for everybody
    python for beginners
    python for ai
    python for data science, ai & development
    python finance
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    python for finance: beta and capital asset pricing model
    python for data science
    1…383940…100

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

    • Where, Why, and How of Lambda Functions in Python : Coursera Project Network
    • Python and Rust with Linux Command Line Tools: Duke University
    • Full Stack Application Development Capstone Project: IBM
    • Reinforcement Learning for Trading Strategies: New York Institute of Finance
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
    • Работа с базами данных в Python: University of Michigan
    • Algorithmic Thinking (Part 1): Rice University
    • Data Analytics with Python: Simplilearn
    • Data Analysis with Python Project : University of Colorado Boulder
    • Applied Data Analytics with Python and SQL: Edureka

    Why Learn Python?

    Python is a widely used programming language known for its simplicity and versatility. It powers everything from data analysis and automation to web development and machine learning. Whether you’re exploring tech for the first time or advancing your skills, Python offers a flexible foundation for solving problems and building real-world solutions.

    Skills you can learn in Data Analysis

    Analytics (85)
    Big Data (64)
    Python Programming (47)
    Business Analytics (40)
    R Programming (37)
    Statistical Analysis (36)
    Sql (33)
    Data Model (29)
    Data Mining (27)
    Exploratory Data Analysis (26)
    Data Modeling (21)
    Data Manipulation (20)

    Frequently Asked Questions about Python

    You can start with beginner-friendly Python courses that walk you through the basics step by step. Popular choices include Python for Everybody by the University of Michigan and Google's Crash Course on Python. If you’re looking to build job-ready skills, there are also full certificate programs that cover Python for data science, web development, or automation.‎

    Yes. Many Python courses offer a free audit option, which lets you watch videos and read course materials at no cost. If you want to get a certificate or complete graded assignments, you’ll need to pay or apply for financial aid.‎

    Python courses on Coursera offer comprehensive range of skills that are crucial for many technical careers:

    • Basic syntax and fundamentals of Python programming
    • Application of Python in data analysis, web development, and machine learning
    • Writing and debugging Python scripts and programs
    • Data visualization with libraries like Matplotlib and Seaborn
    • Use of libraries and frameworks such as Pandas, Flask, and Django
    • Automation of common system administration tasks using Python‎

    Not at all. Many Coursera Python courses are built for beginners and start with the basics. You can go at your own pace and gradually build confidence with hands-on practice.‎

    Yes. Python is one of the most in-demand programming languages in fields like data science, software development, and automation. Learning Python through Coursera can help you build real skills you can use on the job—and some courses include certificates and projects you can share with employers.‎

    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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