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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


  • J

    Johns Hopkins University

    Genomic Data Science

    Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Data Structures, Data Analysis, Computer Science, Molecular Biology, R Programming, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Introduction to Software Engineering

    Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Back-End Web Development, Python Programming, Software Versioning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.6K reviews

    Beginner · Course · 1 - 3 Months

  • M

    Meta

    Meta Database Engineer

    Skills you'll gain: MySQL, Database Management, Database Administration, Data Warehousing, Linux Commands, Data Integrity, Unit Testing, Algorithms, Software Versioning, Command-Line Interface, Software Visualization, Linux, Pseudocode, Query Languages, Collaborative Software, Django (Web Framework), Database Architecture and Administration, Programming Principles, Computational Thinking, Test Driven Development (TDD)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • P

    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

  • I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

  • V

    Vanderbilt University

    Generative AI Software Engineering

    Skills you'll gain: Claude Code, Prompt Engineering, ChatGPT, Generative AI Agents, Prompt Patterns, Generative AI, Multimodal Prompts, AI Workflows, AI Orchestration, LLM Application, Productivity, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Software Engineering, Software Development Tools, Software Development, Software Architecture, Automation, Software Testing, Software Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Toronto

    Learn to Program: The Fundamentals

    Skills you'll gain: Programming Principles, Debugging, File I/O, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Algorithms, Data Structures, Development Environment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.7K reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Generative AI for Data Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Prompt Engineering Tools, Data Analysis, Dashboard, Real Time Data, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Data Visualization Software, AI Workflows, AI Personalization, Statistical Analysis, Python Programming, Data Cleansing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • S
    I

    Multiple educators

    Generative AI for Growth Marketing

    Skills you'll gain: Prompt Patterns, AI Enablement, Personalized Service, Data Ethics, Customer experience improvement, Real Time Data, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Responsible AI, AI Workflows, Customer Advocacy, Content Creation, Machine Learning, Image Analysis, Context Management, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Model Deployment, Computer Vision

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

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

    Mixed · Course · 1 - 3 Months

1…575859…223

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

  • Genomic Data Science: Johns Hopkins University
  • Introduction to Software Engineering: IBM
  • Meta Database Engineer: Meta
  • AI Engineering Masterclass: From Zero to AI Hero: Packt
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Generative AI Software Engineering: Vanderbilt University
  • Learn to Program: The Fundamentals: University of Toronto
  • Generative AI for Data Analysts: IBM
  • Generative AI for Growth Marketing: Starweaver
  • Mathematics for Machine Learning: Imperial College London

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