Data Science

Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Coursera's Data Science catalogue equips you with essential techniques and tools used for statistical analysis, machine learning, data visualization, and predictive modeling. You'll learn how to manage, analyze, and interpret complex data, develop algorithms to solve data problems, and utilize Python and R programming languages. By mastering these skills, you can become a vital asset in any industry, helping organizations make data-driven decisions.
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Find the best Data Science course for your goals

  • Status: Free Trial

    IBM

    Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    77K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: SQL, Peer Review, Jupyter, Data Literacy, Data Mining, Data Modeling, Data Collection, Business Analysis, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Visualization Software, Decision Tree Learning, Predictive Modeling, Cloud Computing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    101K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub

    4.5
    Rating, 4.5 out of 5 stars
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    Multiple educators

    Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Big Data, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    116K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of California, Davis

    Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    17K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Statistics, Data Visualization, Statistical Methods, Web Scraping, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Data Visualization Software, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    74K reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Preview

    Duke University

    Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, Data Analysis, Descriptive Statistics

    4.5
    Rating, 4.5 out of 5 stars
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    Pearson

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: Peer Review, Data Modeling, Jupyter, Data Collection, Business Analysis, Data Science, Decision Tree Learning, Predictive Modeling, Software Development Methodologies, Data Processing, Business Requirements, Data Cleansing, Data Analysis, Data Mining, Data Quality, User Feedback, Stakeholder Engagement

    4.6
    Rating, 4.6 out of 5 stars
    21K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Interactive Data Visualization, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Matplotlib, Pandas (Python Package), Predictive Modeling, Data Science, Web Scraping, Data Import/Export, Programming Principles, Python Programming, Machine Learning

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    60K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    8.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    Pearson

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

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