Python Programming

Python is a high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability. Coursera's Python Programming catalogue teaches you how to use Python effectively, from its syntax to its standard libraries. You'll learn to write clean and efficient code, develop real-world applications, perform data analysis, and create machine learning algorithms using Python. This skill will equip you with the ability to master backend development, automation, data science, artificial intelligence and more. Discover the power of Python and its vital role in today's technology landscape.
134credentials
1online degree
539courses

Explore the Python Data Science Course Catalog

  • Status: Preview

    University of Michigan

    Skills you'll gain: Data Structures, Programming Principles, Data Manipulation, Software Installation, Python Programming, Development Environment, Data Storage, File Management

  • Status: Preview

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Probability & Statistics, Statistical Analysis, Analytical Skills, Statistics, Business Analytics, Python Programming, Technical Communication

  • Status: Free Trial

    Skills you'll gain: Python Programming, Programming Principles, Scripting, Jupyter, Computer Programming Tools, Data Storage

  • Status: Free Trial

    Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation

  • Status: New
    Status: Free Trial

    Skills you'll gain: Encryption, Secure Coding, File Management, Cryptography, Python Programming, Programming Principles, Debugging, Scripting, Data Structures

  • Status: New
    Status: Free Trial

    Skills you'll gain: Cryptography, Encryption, Python Programming, Mathematical Software, Programming Principles, Scripting, Algorithms, Debugging, Data Structures, File Management

  • Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Processing, Artificial Intelligence, Predictive Modeling, Data Science, Data Manipulation, Jupyter, Feature Engineering, Machine Learning, Data Visualization, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Structures, Scripting, Python Programming, Programming Principles, Development Environment, Virtual Environment

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Random Forest Algorithm, Scikit Learn (Machine Learning Library), Data Analysis, Regression Analysis, Machine Learning, Python Programming

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Debugging, Unit Testing, Relational Databases, Object Oriented Programming (OOP), Data Transformation, Databases, Data Visualization Software, Object Oriented Design, Web Scraping, Data Science, Creative Design, Scatter Plots, Data Structures, Programming Principles, Integrated Development Environments, Python Programming, Development Testing, Computer Programming, Program Development, Diversity and Inclusion

  • Status: Free Trial

    Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization Software, Data Visualization, Jupyter, Interactive Data Visualization, Scatter Plots, Histogram, Box Plots, Animations, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Linear Algebra, Applied Machine Learning, Unsupervised Learning, Regression Analysis, Statistical Methods, Artificial Intelligence and Machine Learning (AI/ML)