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Python Courses

Python courses can help you learn programming fundamentals, data analysis, web development, and automation techniques. You can build skills in writing clean code, debugging, and using libraries like Pandas and NumPy for data manipulation. Many courses also introduce frameworks such as Flask and Django for web applications, as well as tools like Jupyter Notebooks for interactive coding and visualization. These skills and tools are essential for tackling projects in data science, software development, and artificial intelligence.


Popular Python Courses and Certifications


  • U

    University of Michigan

    NumPy and Pandas Basics for Future Data Scientists

    Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking

    4.1
    Rating, 4.1 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Predictive Modeling, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    PyQt Training Beginner Level

    Skills you'll gain: UI Components, User Interface (UI), User Interface (UI) Design, Event-Driven Programming, Application Design, Development Environment, Application Development, Application Frameworks

    4.5
    Rating, 4.5 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • L

    Logical Operations

    PCAP: Python Input, Output, and String Handling

    Skills you'll gain: File I/O, Cross Platform Development, Operating Systems, Data Import/Export, Development Environment, Scripting, File Management, Scripting Languages, Data Processing, Virtual Machines, Python Programming, Programming Principles, Computer Programming, Software Development

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Applied Machine Learning, Image Analysis, Model Evaluation, Artificial Neural Networks, Computer Vision, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Unstructured Data, Python Programming, Algorithms

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Natural Language Processing with Real-World Projects

    Skills you'll gain: Matplotlib, NumPy, Embeddings, Data Visualization, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Text Mining, Data Science, Data Processing, Applied Machine Learning, Unstructured Data, Markov Model, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of London

    모두를 위한 머신 러닝

    Skills you'll gain: Applied Machine Learning, Model Evaluation, Artificial Intelligence, Machine Learning, Computer Vision, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Generative AI Foundations in Python

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Responsible AI, Model Deployment, Large Language Modeling, Generative Adversarial Networks (GANs), Natural Language Processing, Embeddings, Transfer Learning, Artificial Intelligence, Python Programming, Machine Learning, Deep Learning

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Supervised Text Classification for Marketing Analytics

    Skills you'll gain: Supervised Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Transfer Learning, Text Mining, Model Evaluation, Predictive Modeling, Data Manipulation, Marketing Analytics, Python Programming, Feature Engineering, Google Cloud Platform, Classification Algorithms, Artificial Neural Networks, Performance Metric

    Build toward a degree

    3.1
    Rating, 3.1 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Cleaning with Python for Finance

    Skills you'll gain: Data Cleansing, Pandas (Python Package), Financial Data, Data Wrangling, Data Transformation, Data Preprocessing, Data Quality, Data Manipulation, Data Validation, Jupyter, Data Integrity, Exploratory Data Analysis, Data Import/Export, Descriptive Statistics

    Intermediate · Course · 1 - 4 Weeks

1…104105106…151

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

  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • Machine Learning: O.P. Jindal Global University
  • PyQt Training Beginner Level: EDUCBA
  • PCAP: Python Input, Output, and String Handling: Logical Operations
  • Building and Training Neural Networks with PyTorch: Packt
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • NLP – Machine Learning Models in Python: Packt
  • Natural Language Processing with Real-World Projects: Packt
  • 모두를 위한 머신 러닝: University of London
  • Generative AI Foundations in Python: Packt

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