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  • Beginner Python

Beginner Python Courses

Beginner Python courses can help you learn programming fundamentals, data types, control structures, and functions. You can build skills in writing clean code, debugging, and using libraries for data manipulation and visualization. Many courses introduce tools like Jupyter Notebook for interactive coding, Git for version control, and libraries such as Pandas and Matplotlib for data analysis and visualization.


Popular Beginner Python Courses and Certifications


  • E

    EDUCBA

    Apply Flutter Fundamentals to Build Interactive Apps

    Skills you'll gain: Responsive Web Design, Human Computer Interaction, Interaction Design

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    ChatGPT for Teachers in Education

    Skills you'll gain: Instructional Strategies, Digital pedagogy, Student Engagement, digital literacy

    Intermediate · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 1: Basic Concepts and Algorithms

    Skills you'll gain: Digital Signal Processing, Electrical Engineering, Communication Systems, Programming Principles, Electronics, Telecommunications, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    641 reviews

    Intermediate · Course · 1 - 4 Weeks

  • R

    Rice University

    Algorithmic Thinking (Part 1)

    Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    384 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    829 reviews

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    351 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing

    Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Image Analysis, Telecommunications, Electrical and Computer Engineering, Electrical Engineering, Embedded Systems, Electronic Systems, Engineering Analysis, Electronics, Programming Principles, Numerical Analysis, Algorithms, Linear Algebra, Mathematical Modeling, Time Series Analysis and Forecasting, Data Mapping, Real Time Data, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    805 reviews

    Intermediate · Specialization · 3 - 6 Months

  • A

    Automatic Data Processing, Inc. (ADP)

    The Payroll Professional

    Skills you'll gain: Payroll, Payroll Administration, Payroll Processing, Payroll Systems, Payroll Reporting, Compensation Management, Human Resources Information System (HRIS), Customer Service, Communication Strategies, Compliance Management, Continuous Improvement Process

    4.7
    Rating, 4.7 out of 5 stars
    ·
    572 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    839 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of California San Diego

    Advanced Algorithms and Complexity

    Skills you'll gain: Algorithms, Network Routing, Network Model, Graph Theory, Operations Research, Theoretical Computer Science, Network Analysis, Data Structures, Computational Thinking, Linear Algebra, Computer Science, Big Data, Python Programming, Programming Principles, Computational Logic, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    701 reviews

    Advanced · Course · 1 - 3 Months

  • K

    King Abdullah University of Science and Technology

    Fundamental Skills in Bioinformatics

    Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Pandas (Python Package), Python Programming, NumPy, Data Manipulation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    92 reviews

    Beginner · Course · 1 - 4 Weeks

  • W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Analysis, SAS (Software), Scatter Plots, Predictive Modeling, Model Evaluation, Data Manipulation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    274 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Apply Flutter Fundamentals to Build Interactive Apps: EDUCBA
  • ChatGPT for Teachers in Education: Packt
  • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
  • Algorithmic Thinking (Part 1): Rice University
  • Supervised Machine Learning: Regression: IBM
  • Microsoft AI & ML Engineering: Microsoft
  • Digital Signal Processing: École Polytechnique Fédérale de Lausanne
  • The Payroll Professional: Automatic Data Processing, Inc. (ADP)
  • State Estimation and Localization for Self-Driving Cars: University of Toronto
  • Advanced Algorithms and Complexity: University of California San Diego

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