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Data Science Courses

Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization. You can build skills in programming with Python or R, data cleaning, and interpreting complex datasets. Many courses introduce tools like SQL for database management, Tableau for visual storytelling, and TensorFlow for developing AI models, showing how these skills are applied in real-world projects.


Popular Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Generative AI, PySpark, Supervised Learning, Keras (Neural Network Library), Feature Engineering, Deep Learning, Reinforcement Learning, LLM Application, Applied Machine Learning, Natural Language Processing, Tensorflow, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • C

    Clemson University

    Applied Data Science

    Skills you'll gain: Data Ethics, Regression Analysis, Data Science, Keras (Neural Network Library), Dimensionality Reduction, Tensorflow, Matplotlib, Data Analysis, Artificial Neural Networks, Data Mining, Data Wrangling, Statistical Analysis, Scikit Learn (Machine Learning Library), Analytics, Data Visualization, Predictive Modeling, Unsupervised Learning, Exploratory Data Analysis, Supervised Learning, Machine Learning Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Statistical Modeling, Artificial Intelligence, Geospatial Information and Technology, Machine Learning, Regression Analysis, Data Pipelines, Network Architecture, Network Model

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    350 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

    Skills you'll gain: Responsible AI, Data Analysis, Image Analysis, Pandas (Python Package), Data Ethics, Machine Learning, Tensorflow, Data Processing, Data Pipelines, Data Transformation, Cloud Management, Artificial Neural Networks, Information Privacy, Supervised Learning, Virtual Machines, Application Deployment, Continuous Monitoring, Data Security, Performance Tuning, Scalability

    4.2
    Rating, 4.2 out of 5 stars
    ·
    596 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    37K reviews

    Beginner · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engr

    Skills you'll gain: Real Time Data, Data Pipelines, Feature Engineering, PySpark, Dataflow, Cloud Storage, Data Import/Export, Apache Spark, Data Maintenance, Google Cloud Platform, Apache Kafka, Apache Hadoop, Dashboard, Data Lakes, Tensorflow, Big Data, Cloud Services, Extract, Transform, Load, Data Storage, MLOps (Machine Learning Operations)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N
    G
    G
    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), Financial Market, Artificial Neural Networks

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Basic Image Classification with TensorFlow

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Computer Vision, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    847 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    N

    NVIDIA

    AI Infrastructure and Operations Fundamentals

    Skills you'll gain: Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Cloud Infrastructure, Infrastructure Architecture, Data Infrastructure, Artificial Neural Networks, IT Infrastructure, Information Technology Operations, Deep Learning, Network Infrastructure, Tensorflow, Hardware Architecture, Machine Learning, PyTorch (Machine Learning Library), Data Centers, Computer Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    437 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Web Frameworks, Rust (Programming Language), Microsoft Copilot, DevOps, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Command-Line Interface, Big Data

    4.2
    Rating, 4.2 out of 5 stars
    ·
    204 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Classification And Regression Tree (CART), Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • IBM AI Engineering: IBM
  • Applied Data Science: Clemson University
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • IBM AI Enterprise Workflow: IBM
  • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
  • Machine Learning: DeepLearning.AI
  • Preparing for Google Cloud Certification: Cloud Data Engr: Google Cloud
  • Machine Learning for Trading: New York Institute of Finance
  • Basic Image Classification with TensorFlow: Coursera
  • AI Infrastructure and Operations Fundamentals: NVIDIA

Frequently Asked Questions about Data Science

Browse the data science courses below—popular starting points on Coursera.

  • Python for Data Science, AI & Development: IBM
  • What is Data Science?: IBM
  • IBM Data Science Professional Certificates: IBM
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • Databases and SQL for Data Science with Python: IBM
  • Foundations of Data Science: Google
  • Python Project for Data Science: IBM
  • Applied Data Science with Python: University of Michigan‎

Data science courses on Coursera cover a comprehensive array of essential skills including:

  • Fundamentals of data manipulation and data analysis using tools like Python and R
  • Statistical analysis and probability modeling
  • Machine learning techniques, including supervised and unsupervised learning
  • Data visualization and communication using platforms like Tableau and PowerBI
  • Big data technologies such as Hadoop and Spark
  • Deep learning and artificial intelligence concepts
  • Time series analysis for forecasting and trend analysis
  • Data ethics and data privacy best practices ‎

No prior programming experience is required to begin beginner data science courses. The curriculum is designed to support learners at various skill levels:

  • Beginners can start with introductory courses on data analysis and basic programming.
  • Intermediate learners can advance to more complex statistical methods and machine learning models.
  • Advanced professionals can specialize in areas like artificial intelligence, deep learning, or big data technologies.‎

Take a short quiz to find the data science course that best fits your goals—whether you're exploring data analysis, Python programming, machine learning, or tools like SQL and Tableau. Take the quiz to discover your ideal starting point.‎

Data science courses on Coursera offer a variety of credentialing options:

  • Professional certificates that demonstrate comprehensive data science skills
  • Specialized course certificates in areas such as machine learning, business analytics, or data engineering
  • Certifications from leading technology companies and academic institutions
  • These certificates can help demonstrate data science skills, employability and career progression.‎

Skills in data science can lead to a wide range of career opportunities in various sectors including technology, healthcare, finance, and more:

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • Quantitative Analyst
  • Data Engineers and Database Administrators
  • Professionals in these roles utilize data science skills to extract insights from data, support decision-making, and innovate with new algorithms and predictive models.

Discover which data science role suits you best by taking our career quiz!‎

Looking to enhance your team's data science skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our data science training options and make a purchase, please visit our Coursera for Teams page.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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