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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

    • G

      Google Cloud

      Form Parsing with Document AI (Python)

      Skills you'll gain: Google Cloud Platform, Data Import/Export, Data Capture, Unstructured Data, Scripting, Data Manipulation

      Intermediate · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Machine Learning with PySpark: Customer Churn Analysis

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning and NLP Basics

      Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Neural Networks, Unstructured Data

      3.4
      Rating, 3.4 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Machine Learning in Sports Analytics

      Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Random Forest Algorithm

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Designing Larger Python Programs for Data Science

      Skills you'll gain: Python Programming, Simulations, Debugging, Statistical Methods, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Development Testing, Software Design, Computational Thinking, Integration Testing, Computer Programming, Data Manipulation, Data Structures, Data Cleansing, Data Analysis, Software Engineering, Systems Integration

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Scikit-Learn For Machine Learning Classification Problems

      Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Tirer Parti des Listes Pour un Code Python Plus Simple

      Skills you'll gain: Python Programming, Algorithms, Data Structures, Data Mapping

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      Universidades Anáhuac

      Data Science: Tus Primeros Pasos con Python

      Skills you'll gain: Data Cleansing, Database Management, SQL, Databases, Data Visualization Software, Pandas (Python Package), Data Science, Jupyter, Data Manipulation, Web Scraping, Data Processing, Data Collection, Python Programming, Matplotlib

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning with ChatGPT: Image Classification Model

      Skills you'll gain: ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Image Analysis, Machine Learning Methods, Data Import/Export, Test Data, Performance Tuning, Artificial Neural Networks, Data Processing, Deep Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      32 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Object Localization with TensorFlow

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Image Analysis, Computer Vision, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      113 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      ETL pipelines con Python: recopila datos de Spotify

      Skills you'll gain: Interactive Data Visualization, Data Transformation, Data Visualization Software, Business Intelligence, Data Analysis, Extract, Transform, Load, Exploratory Data Analysis, Pandas (Python Package), Data Collection, Data Pipelines, Jupyter, Virtual Environment

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      AI-Powered Data Analysis: A Practical Introduction

      Skills you'll gain: Analytical Skills, Data Analysis, Data Cleansing, Data Manipulation, Generative AI, ChatGPT, Data Visualization Software, Statistical Analysis, Artificial Intelligence, Data Collection, Data Management, GitHub, Technical Support, Git (Version Control System), Integrated Development Environments

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…616263…100

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

    • Form Parsing with Document AI (Python): Google Cloud
    • Machine Learning with PySpark: Customer Churn Analysis: Coursera Project Network
    • Machine Learning and NLP Basics: Edureka
    • Introduction to Machine Learning in Sports Analytics: University of Michigan
    • Designing Larger Python Programs for Data Science: Duke University
    • Scikit-Learn For Machine Learning Classification Problems: Coursera Project Network
    • Tirer Parti des Listes Pour un Code Python Plus Simple : Coursera Project Network
    • Data Science: Tus Primeros Pasos con Python: Universidades Anáhuac
    • Machine Learning with ChatGPT: Image Classification Model: Coursera Project Network
    • Object Localization with TensorFlow: Coursera Project Network

    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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