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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


  • U

    University of Illinois Urbana-Champaign

    Tools for Exploratory Data Analysis in Business

    Skills you'll gain: Data Storytelling, Business Analytics, Data Visualization Software, Business Intelligence, Analytical Skills, Exploratory Data Analysis, Data Quality, Data-Driven Decision-Making, Extract, Transform, Load, Data Manipulation, Pandas (Python Package), Data Cleansing, Jupyter, Data Processing, SQL, Python Programming, Application Programming Interface (API)

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    55 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Automatically Deploy Python Web Apps from Version Control to Cloud Run

    Skills you'll gain: Cloud Applications, Serverless Computing, Cloud Management, Cloud Development, Cloud Deployment, Cloud Computing, Application Deployment, CI/CD, Continuous Deployment, Google Cloud Platform, Application Development, Python Programming

    Beginner · Project · Less Than 2 Hours

  • Status: Trending in AI
    Trending in AI
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Transfer Learning, Model Evaluation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), Supervised Learning, Generative AI Agents, Vector Databases, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • D

    Duke University

    Web Applications and Command-Line Tools for Data Engineering

    Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Cloud Engineering, Command-Line Interface, Data Pipelines, CI/CD, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Test Automation, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Information Extraction from Free Text Data in Health

    Skills you'll gain: Text Mining, Unstructured Data, Health Informatics, Natural Language Processing, Data Mining, Model Evaluation, Clinical Informatics, Deep Learning, Feature Engineering, Machine Learning, Medical Terminology, Artificial Neural Networks, Supervised Learning, Python Programming, Computer Programming, Computer Programming Tools

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Recurrent Neural Networks (RNNs), Python Programming, Linear Algebra, Calculus

    4.9
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Trending in AI
    Trending in AI
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Regression Analysis, Unsupervised Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Trending in AI
    Trending in AI
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, Generative AI, Responsible AI, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    81K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Trending in AI
    Trending in AI
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Data Analysis, Statistical Methods, Data Preprocessing, Machine Learning, Data Science, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • P

    Packt

    Building LLM Powered Applications

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Responsible AI, Large Language Modeling, Hugging Face, Generative AI, Generative Model Architectures, Retrieval-Augmented Generation, Generative AI Agents, AI Orchestration, Embeddings, Python Programming, Vector Databases, Machine Learning, Data Science

    Beginner · Course · 3 - 6 Months

  • E

    EDUCBA

    Apply OpenCV for Real-Time Computer Vision Projects

    Skills you'll gain: Computer Vision, Image Analysis, Program Development, Data Science, Real Time Data, Python Programming, Development Environment, NumPy, System Design and Implementation, Machine Learning Methods, Motion Graphics, Model Deployment, Debugging, Software Installation

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Michigan

    Sports Performance Analytics

    Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Sports Medicine, Correlation Analysis, Data Preprocessing, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, Data Analysis, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    280 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Tools for Exploratory Data Analysis in Business: University of Illinois Urbana-Champaign
  • Automatically Deploy Python Web Apps from Version Control to Cloud Run: Google Cloud
  • IBM AI Engineering: IBM
  • Web Applications and Command-Line Tools for Data Engineering: Duke University
  • Information Extraction from Free Text Data in Health: University of Michigan
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • IBM AI Developer: IBM
  • IBM Machine Learning: IBM
  • Building LLM Powered Applications: Packt

Skills you can learn in Data Analysis

Analytics (85)
Big Data (64)
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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