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 Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    43K reviews

    Beginner · Course · 1 - 3 Months

  • 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

    Google

    Skills you'll gain: Data Ethics, Data-Driven Decision-Making, Data Analysis, Analytics, Business Analytics, Data Storytelling, Big Data, Data Science, Communication, Stakeholder Communications, Workflow Management, Project Management, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    3.6K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial

    IBM

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    19K reviews

    Intermediate · Course · 1 - 3 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

    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

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  • 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: Free Trial

    IBM

    Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    22K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    IBM

    Skills you'll gain: Dashboard, Pandas (Python Package), Web Scraping, Jupyter, Matplotlib, Data Analysis, Data Science, Data Processing, Data Manipulation, Python Programming, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
    4.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

    University of Michigan

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Jupyter, NumPy, Graph Theory, Natural Language Processing, Python Programming, Data Processing

    4.5
    Rating, 4.5 out of 5 stars
    34K reviews

    Intermediate · Specialization · 3 - 6 Months

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