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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

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

      EDUCBA

      PyMongo - Advanced

      Skills you'll gain: Pandas (Python Package), Databases, Data Pipelines, Database Design, Performance Tuning, Data Transformation, Python Programming, Data Structures, Data Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Machine Learning, Calculus

      4
      Rating, 4 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

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

      University of Pittsburgh

      Tableau, Networks & Time Series Data Visualization

      Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Network Analysis, Tableau Software, Statistical Visualization, Network Model, Dashboard, Time Series Analysis and Forecasting, Matplotlib, Data Analysis, Seaborn, Graph Theory, Pandas (Python Package), Python Programming

      Build toward a degree

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Building GenAI Applications and Agents

      Skills you'll gain: LangChain, Prompt Engineering, Large Language Modeling, Generative AI Agents, LLM Application, Tool Calling, ChatGPT, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Agentic systems, Application Programming Interface (API), OpenAI, Google Gemini, Automation, Generative AI, Application Development, Development Environment, Prompt Engineering Tools, Python Programming

      4
      Rating, 4 out of 5 stars
      ·
      71 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      892 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Data Science Essentials: Analysis, Statistics, and ML

      Skills you'll gain: Plotly, NumPy, Probability & Statistics, Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Machine Learning, Interactive Data Visualization, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals, Part 2

      Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

      Beginner · Specialization · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals Part 1: Unit 1

      Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

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

      University of Pittsburgh

      Mathematical Foundations for Data Science and Analytics

      Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

      Build toward a degree

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Intro to NumPy

      Skills you'll gain: NumPy, Scientific Visualization, Jupyter, Time Series Analysis and Forecasting, Graphing, Data Visualization Software, Data Structures, Python Programming, Numerical Analysis, Data Manipulation, Mathematical Software

      Beginner · Course · 1 - 4 Weeks

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    1…414243…115

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

    • PyMongo - Advanced : EDUCBA
    • Mathematics for Machine Learning: PCA: Imperial College London
    • Tableau, Networks & Time Series Data Visualization: University of Pittsburgh
    • Building GenAI Applications and Agents: Coursera Instructor Network
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • Data Science Essentials: Analysis, Statistics, and ML: Packt
    • Data Science Fundamentals, Part 2: Pearson
    • Data Science Fundamentals Part 1: Unit 1: Pearson
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI

    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.

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