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  • Statistics For Data Science

Statistics For Data Science Courses

Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.


Popular Statistics For Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    R

    Rice University

    Fundamentals of Computing

    Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Theoretical Computer Science, Computer Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science in Real Life

    Skills you'll gain: Data Quality, Data Management, Technical Communication, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Data Science, Statistical Machine Learning, Statistical Inference, Statistics, A/B Testing, Statistical Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing Data for Analysis with Microsoft Excel

    Skills you'll gain: Excel Formulas, Microsoft Excel, Power BI, Spreadsheet Software, Timelines, Data Analysis, Data Manipulation, Data Presentation, Data Cleansing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, Workflow Management, Action Oriented, No-Code Development, Machine Learning Software, Natural Language Processing, Business Workflow Analysis, Machine Learning, AI Product Strategy, Artificial Intelligence, Self Service Technologies, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Data Structures

    Skills you'll gain: Data Structures, Algorithms, Data Storage, Programming Principles, File Systems, Graph Theory, Computer Programming, C++ (Programming Language), Java, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    5.6K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Share Data Through the Art of Visualization

    Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Tableau Software, Presentations, Data Visualization Software, Dashboard, Data Analysis, Web Content Accessibility Guidelines, Stakeholder Engagement

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analysis and Visualization with Power BI

    Skills you'll gain: Dashboard, Power BI, Data Storytelling, Data Visualization Software, Microsoft Power Platform, Data Visualization, Data Presentation, Advanced Analytics, Statistical Reporting, Interactive Data Visualization, Business Intelligence, Data Analysis, Data-Driven Decision-Making, Web Content Accessibility Guidelines, Time Series Analysis and Forecasting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    933 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Warehouse Engineer

    Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Database Administration, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, IBM DB2, Data Visualization, Relational Databases, Dashboard

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6.6K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Programming for Everybody (Getting Started with Python)

    Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    233K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Structured Query Language (SQL)

    Skills you'll gain: SQL, Database Management, Query Languages, Relational Databases, Database Design, Database Theory, Database Administration, Data Analysis, Database Application, Data Access, Data Manipulation, Data Science, Data Modeling

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engr

    Skills you'll gain: Data Pipelines, Real Time Data, Feature Engineering, PySpark, Dataflow, Cloud Storage, Data Import/Export, Apache Spark, Data Lakes, Data Maintenance, Google Cloud Platform, Apache Kafka, Apache Hadoop, Dashboard, Data Governance, Tensorflow, Big Data, Cloud Services, Data Infrastructure, Data Storage

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

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Big Data, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    928 reviews

    Mixed · Course · 1 - 3 Months

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

  • Fundamentals of Computing: Rice University
  • Data Science in Real Life: Johns Hopkins University
  • Preparing Data for Analysis with Microsoft Excel: Microsoft
  • AI Foundations for Everyone: IBM
  • Data Structures: University of California San Diego
  • Share Data Through the Art of Visualization: Google
  • Data Analysis and Visualization with Power BI: Microsoft
  • IBM Data Warehouse Engineer: IBM
  • Programming for Everybody (Getting Started with Python): University of Michigan
  • The Structured Query Language (SQL): University of Colorado Boulder

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