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  • Python Data Science

Python Data Science Courses

Python Data Science courses can help you learn data manipulation, statistical analysis, machine learning, and data visualization. You can build skills in programming with Python, working with libraries like Pandas and NumPy, and applying algorithms to solve real-world problems. Many courses introduce tools such as Jupyter Notebooks for interactive coding, Matplotlib for creating visualizations, and Scikit-learn for implementing machine learning models, all of which enhance your ability to analyze and interpret complex data sets.


Popular Python Data Science Courses and Certifications


  • P

    Packt

    The Ultimate Guide to Blender 3D Rigging and Animation

    Skills you'll gain: Animations, 3D Modeling, 3D Assets, Computer Graphics, Simulations, Timelines

    Intermediate · Course · 3 - 6 Months

  • Status: Bestseller
    Bestseller
    U

    University of Pennsylvania

    Foundations of Positive Psychology

    Skills you'll gain: Resilience, Goal Setting, Empathy & Emotional Intelligence, Emotional Intelligence, Positivity, Smart Goals, Optimism, Research Methodologies, Overcoming Obstacles, Research Design, Productivity, Positive Behavior Support, Cognitive flexibility, Relationship Building, Personal Development, Self-Awareness, Qualitative Research, Research, Empowerment, Psychology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • G

    Google

    Ask Effective Questions

    Skills you'll gain: Interviewing Skills

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    Edureka

    Natural Language Processing Essentials

    Skills you'll gain: Classification Algorithms, Machine Learning Methods, Data Preprocessing, Model Evaluation, Embeddings

    3
    Rating, 3 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to DevOps

    Skills you'll gain: DevOps, Agile Methodology, Cloud-Native Computing, CI/CD, Test Driven Development (TDD), Scrum (Software Development), Behavior-Driven Development, Performance Metric, Accountability, Team Oriented, Culture Transformation, Microservices, Cross-Functional Collaboration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.1K reviews

    Beginner · Course · 1 - 3 Months

  • P

    Pragmatic AI Labs

    GitHub: Advanced Prompt Engineering for Code

    Skills you'll gain: Microsoft Copilot, Prompt Patterns, Prompt Engineering, Microsoft Visual Studio, Prompt Engineering Tools, GitHub, Software Documentation, Code Review, Integrated Development Environments, Program Development, Context Management, Application Programming Interface (API), API Design, Software Development, Technical Documentation

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Deploy & Optimize ML Services Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), DevOps, Service Level Agreement, API Design, Performance Measurement, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Gemini CLI로 앱 개발 가속화

    Skills you'll gain: Gemini, Command-Line Interface, Build Tools, Code Review, Computer Programming Tools, Model Context Protocol, Software Installation, Application Security, Debugging

    Beginner · Course · 1 - 4 Weeks

  • L

    Lund University

    Sustainable Cities and Communities

    Skills you'll gain: Sustainable Development, Climate Change Adaptation, Sustainable Design, Sustainable Technologies, Community Development, Governance, Socioeconomics, Water Sustainability, Environment, Sustainable Business, Social Impact, Systems Thinking, Environmental Issue, Environmental Science, Climate Change Mitigation, Case Studies, Water Resources, Multimedia, Business Modeling, Innovation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3K reviews

    Beginner · Specialization · 3 - 6 Months

  • M

    MathWorks

    Deep Learning for Object Detection

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Matlab, Data Preprocessing, Data Visualization, Transfer Learning, Applied Machine Learning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Caltech

    The Evolving Universe

    Skills you'll gain: Physical Science, Physics, General Science and Research, Systems Of Measurement, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    841 reviews

    Mixed · Course · 1 - 3 Months

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

  • The Ultimate Guide to Blender 3D Rigging and Animation: Packt
  • Foundations of Positive Psychology: University of Pennsylvania
  • Ask Effective Questions: Google
  • Natural Language Processing Essentials: Edureka
  • Introduction to DevOps: IBM
  • GitHub: Advanced Prompt Engineering for Code: Pragmatic AI Labs
  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Deploy & Optimize ML Services Confidently: Coursera
  • Gemini CLI로 앱 개발 가속화: Google Cloud
  • Sustainable Cities and Communities: Lund University

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Analytics (85)
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Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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