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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


  • U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    361 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Codio

    Advanced Django: Building a Blog

    Skills you'll gain: Performance Tuning, Django (Web Framework), Authentications, PostgreSQL, Scalability, Application Deployment, Cloud Hosting, User Accounts, Application Security, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    115 reviews

    Advanced · Course · 1 - 4 Weeks

  • R

    Rice University

    Principles of Computing (Part 2)

    Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Data Structures, Theoretical Computer Science, Computer Programming, Python Programming, Computer Science, Verification And Validation, Game Theory, Mathematical Modeling, Test Case, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    365 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    Meta

    Programming Fundamentals in Kotlin

    Skills you'll gain: Kotlin, Object Oriented Programming (OOP), Programming Principles, Android Development, Data Structures, Computer Programming, Mobile Development, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    346 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Applying Data Analytics in Accounting

    Skills you'll gain: Data Governance, Accounting, Data Management, Internal Controls, Internal Auditing, Control Objectives for Information and Related Technology (COBIT), Auditing, Financial Auditing, Fraud detection, Data Quality, Accounting Software, Data Integrity, Pandas (Python Package), Emerging Technologies, Data Analysis, Analytics, Automation, GitHub, Python Programming, Natural Language Processing

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    457 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    Universidade de São Paulo

    Laboratório de Programação Orientada a Objetos - Parte 1

    Skills you'll gain: Model View Controller, Unified Modeling Language, Object Oriented Programming (OOP), Software Design Patterns, Object Oriented Design, Java, Software Design, Computer Programming, Debugging, Programming Principles, Software Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    187 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    47 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    Universidade de São Paulo

    Processamento Neural de Linguagem Natural em Português I

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Artificial Neural Networks, Tensorflow, Python Programming, Embeddings, Applied Machine Learning, Classification Algorithms, Deep Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    Imperial College London

    Getting started with TensorFlow 2

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Convolutional Neural Networks, Transfer Learning, Supervised Learning, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    582 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Prediction Models with Sports Data

    Skills you'll gain: Logistic Regression, Forecasting, Data Processing, Predictive Modeling, Statistical Modeling, Data Analysis, Analytics, Regression Analysis, Pandas (Python Package), Model Evaluation, Python Programming, Probability, Ethical Standards And Conduct

    4.5
    Rating, 4.5 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Machine Learning: Clustering & Retrieval: University of Washington
  • Unsupervised Machine Learning: IBM
  • Advanced Django: Building a Blog: Codio
  • Principles of Computing (Part 2): Rice University
  • Programming Fundamentals in Kotlin: Meta
  • Applying Data Analytics in Accounting: University of Illinois Urbana-Champaign
  • Supervised Machine Learning: Classification: IBM
  • Laboratório de Programação Orientada a Objetos - Parte 1: Universidade de São Paulo
  • Introduction to Retrieval Augmented Generation (RAG): Duke University
  • Processamento Neural de Linguagem Natural em Português I: Universidade de São Paulo

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