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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


  • Status: New
    New
    Status: Free Trial
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    Coursera

    Grasp Vector DB Basics

    Skills you'll gain: Vector Databases, Embeddings, Semantic Web, Database Theory, Database Design, Databases, Database Management Systems, NoSQL, Decision Making, Relational Databases, Stakeholder Communications, Business Analysis, Stakeholder Management, Persuasive Communication, Communication, System Design and Implementation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Probability & Statistics, Exploratory Data Analysis, Statistical Methods, Statistical Hypothesis Testing, Data Visualization, Operations Research, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Statistical Analysis, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling, Decision Tree Learning, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Mathematical Theory & Analysis, Probability, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Model Training, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Machine Learning, Data Preprocessing, Model Optimization, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
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    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    G

    Google

    AI for Research and Insights

    Skills you'll gain: Google Gemini, AI literacy, Prompt Patterns, Prompt Engineering Tools, AI Enablement, Generative AI, Generative AI Agents, Artificial Intelligence, AI Personalization, AI Workflows, Ideation, Decision Support Systems, Responsible AI, Google Workspace

    4.8
    Rating, 4.8 out of 5 stars
    ·
    185 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Modern Deep Learning Foundations

    Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Toronto

    Learn to Program: The Fundamentals

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

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

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI Ops: Running Powerful Generative AI Systems

    Skills you'll gain: Model Optimization, Cloud Security, Stakeholder Communications, Stakeholder Management, Stakeholder Engagement, Risking, Data Ethics, Data Governance, Data Security, Enterprise Architecture, Dashboard Creation, Generative Model Architectures, Executive Presence, Security Architecture Review, Professional Development, Data Management, Financial Forecasting, Application Deployment, Continuous Deployment, Incident Management

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
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    T

    The University of Edinburgh

    Breeding Programme Modelling with AlphaSimR

    Skills you'll gain: Simulations, Simulation and Simulation Software, Bioinformatics, Biotechnology, Mathematical Modeling, Life Sciences, Biology, Molecular, Cellular, and Microbiology, R Programming, Scripting, Quantitative Research

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Image Quality, Model Training, Fine-tuning, Classification Algorithms, Deep Learning, Network Architecture

    4.4
    Rating, 4.4 out of 5 stars
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    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Pixels, Waveforms & Words: Engineering Multimodal AI Systems

    Skills you'll gain: Model Optimization, Image Analysis, Transfer Learning, Fine-tuning, Multimodal Prompts, Model Evaluation, Technical Documentation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Model Training, Embeddings, Systems Design, Ethical Standards And Conduct, Large Language Modeling, Root Cause Analysis, Deep Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Machine Learning Methods, Text Mining, Machine Learning Algorithms, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

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

  • Grasp Vector DB Basics: Coursera
  • Probability and Statistics: To p or not to p?: University of London
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Machine Learning: Regression: University of Washington
  • AI for Research and Insights: Google
  • Modern Deep Learning Foundations: Packt
  • Learn to Program: The Fundamentals: University of Toronto
  • GenAI Ops: Running Powerful Generative AI Systems: Coursera
  • Breeding Programme Modelling with AlphaSimR: The University of Edinburgh
  • Introduction to Computer Vision and Image Processing: IBM

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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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