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Python Courses

Python courses can help you learn programming fundamentals, data analysis, web development, and automation techniques. You can build skills in writing clean code, debugging, and using libraries like Pandas and NumPy for data manipulation. Many courses also introduce frameworks such as Flask and Django for web applications, as well as tools like Jupyter Notebooks for interactive coding and visualization. These skills and tools are essential for tackling projects in data science, software development, and artificial intelligence.

Popular Python Courses and Certifications

  • C

    Coursera

    Introduction to Python

    Skills you'll gain: Data Science, Web Development, Python Programming, Programming Principles, Artificial Intelligence, Computer Programming, Application Development, Scientific Visualization, Scripting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.2K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Data Science, Tableau Software, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python Project for Data Science

    Skills you'll gain: Dashboard, Pandas (Python Package), Data Presentation, Web Scraping, Jupyter, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Python for Data Analysis: Pandas & NumPy

    Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Exploratory Data Analysis, Data Manipulation, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    371 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

    Google

    Hello, Python!

    Skills you'll gain: Package and Software Management, Data Science, Computer Programming, Mathematical Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    38 reviews

    Beginner · 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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    54 reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • 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
    ·
    12 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Generative AI, PySpark, Supervised Learning, Keras (Neural Network Library), Feature Engineering, Deep Learning, Reinforcement Learning, LLM Application, Applied Machine Learning, Natural Language Processing, Tensorflow, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Presentation, Statistics, Data Visualization, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Web Scraping, Data Visualization Software, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    74K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Large Language Modeling, Software Architecture, Computer Vision, LangChain, ChatGPT, Responsive Web Design, Restful API, LLM Application, Generative AI, Responsible AI, IBM Cloud, Data Import/Export, Python Programming, Engineering Software, Workflow Management, Machine Learning, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    79K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    P

    Pearson

    Skill Up with Python: Data Science and Machine Learning Recipes

    Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Applied Machine Learning, Unstructured Data

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Data Analysis Using Python

    Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Visualization, Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Transformation, Jupyter, Data Validation, Data Import/Export, Histogram, Python Programming, Data Structures, Programming Principles, Scripting Languages

    4.5
    Rating, 4.5 out of 5 stars
    ·
    427 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Introduction to Python: Coursera
  • Google Advanced Data Analytics: Google
  • Python Project for Data Science: IBM
  • Python for Data Analysis: Pandas & NumPy: Coursera
  • Hello, Python!: Google
  • Google Data Analysis with Python: Google
  • Python Fundamentals: Corporate Finance Institute
  • IBM AI Engineering: IBM
  • Data Science Fundamentals with Python and SQL: IBM
  • IBM AI Developer: IBM

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

Python is a versatile programming language known for its readability and simplicity. It is widely used in various fields, including web development, data analysis, artificial intelligence, and scientific computing. Its importance lies in its ability to empower individuals and organizations to automate tasks, analyze data, and create applications efficiently. As technology continues to evolve, Python remains a crucial skill for anyone looking to thrive in the digital landscape.‎

With Python skills, you can pursue various job roles, including software developer, data analyst, data scientist, machine learning engineer, and web developer. These positions are in high demand across industries, as companies seek professionals who can leverage Python for data-driven decision-making and automation. Additionally, roles in cybersecurity and artificial intelligence are increasingly looking for candidates with Python expertise.‎

To learn Python effectively, you should focus on several key skills. Start with the basics of programming, including syntax, data types, and control structures. Understanding libraries and frameworks, such as Pandas for data manipulation and Flask for web development, is also essential. Additionally, familiarity with version control systems like Git and knowledge of databases can enhance your Python proficiency.‎

There are many excellent online Python courses available. For beginners, the BiteSize Python for Absolute Beginners Specialization offers a gentle introduction. For those looking to advance their skills, the AI and Machine Learning Essentials with Python Specialization provides a solid foundation in applying Python to AI. Additionally, the Data Analysis with Python Specialization is great for those interested in data science.‎

Yes. You can start learning python on Coursera for free in two ways:

  1. Preview the first module of many python courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in python, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn Python, begin by choosing a structured course or specialization that matches your skill level. Dedicate time to practice coding regularly, as hands-on experience is crucial. Utilize online resources, such as forums and coding communities, to seek help and collaborate with others. Finally, work on personal projects to apply what you've learned and reinforce your skills.‎

Typical topics covered in Python courses include basic syntax, data structures (like lists and dictionaries), control flow (if statements, loops), functions, and modules. Advanced courses may explore object-oriented programming, web development frameworks, data analysis libraries, and machine learning techniques. This comprehensive curriculum ensures you gain a well-rounded understanding of Python.‎

For training and upskilling employees, the Google IT Automation with Python Professional Certificate is an excellent choice, as it focuses on practical skills for IT professionals. Additionally, the Microsoft Python Development Professional Certificate provides a robust foundation for those looking to enhance their programming capabilities in a corporate environment.‎

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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