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.
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Find the best Python course for your goals

  • Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Microsoft Azure, Applied Machine Learning, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Application Deployment, Natural Language Processing, Application Programming Interface (API)

  • Status: Free Trial

    Fractal Analytics

    Skills you'll gain: Data Storytelling, Decision Making, Critical Thinking, Database Design, Data Manipulation, Data Presentation, Power BI, Data Visualization, Exploratory Data Analysis, Feature Engineering, Interactive Data Visualization, Data Analysis Expressions (DAX), Human Centered Design, Storyboarding, SQL, Applied Machine Learning, Data Modeling, Machine Learning, Problem Solving, Python Programming

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    Skills you'll gain: Plotly, Dashboard, Data Analysis, Interactive Data Visualization, Jupyter, HTML and CSS, UI Components, Data Visualization Software, Real Time Data, Pandas (Python Package), Python Programming

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    Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Databases, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Python Programming, Algorithms

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    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Advanced Analytics, Statistical Analysis, Correlation Analysis, Analytical Skills, Business Analytics, Supervised Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Variance Analysis, Predictive Modeling, Probability & Statistics, Exploratory Data Analysis, Machine Learning, Python Programming

  • Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming

  • Status: Preview

    Skills you'll gain: Data Structures, Object Oriented Programming (OOP), Unit Testing, Python Programming, Program Development, Algorithms, Test Case, Software Engineering, Software Testing, Debugging, Computational Thinking

  • Skills you'll gain: Performance Tuning, Python Programming, Distributed Computing, OS Process Management, Scalability, Web Scraping, Database Management

  • Status: Free Trial

    Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Data Import/Export, Data Cleansing, Probability & Statistics, Data Manipulation, Statistics, Descriptive Statistics, Pandas (Python Package), Data Science, Python Programming, Programming Principles, Scripting, Computational Logic

  • Status: Free

    Universitat Pompeu Fabra of Barcelona

    Skills you'll gain: Music, Music Theory, Open Source Technology, Data Analysis Software, Python Programming, NumPy, Numerical Analysis, Computer Programming Tools

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    University of Michigan

    Skills you'll gain: Forecasting, Statistical Methods, Exercise Science, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Sports Medicine, Correlation Analysis, Predictive Modeling, Matplotlib, Data Manipulation, Applied Machine Learning, Injury Prevention, Analytics, Data Analysis, Statistical Analysis, Python Programming

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    Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Programming Principles, Computational Thinking, Data Science, Analysis, Big Data, Probability & Statistics, Python Programming