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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
    U

    University of Colorado Boulder

    Data Science Foundations: Statistical Inference

    Skills you'll gain: Probability, Statistical Hypothesis Testing, Statistical Inference, Probability & Statistics, Probability Distribution, Statistical Methods, Statistics, Bayesian Statistics, Data Literacy, Sampling (Statistics), Applied Mathematics, Data Ethics, Data Analysis, Statistical Analysis, Quantitative Research, Data Science, Theoretical Computer Science, Sample Size Determination, Artificial Intelligence

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    335 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    Y

    Yale University

    The Science of Well-Being for Teens

    Skills you'll gain: Positivity, Mental Health, Goal Setting, Growth Mindedness, Stress Management, Resilience, Self-Awareness, Behavioral Health, Psychology, Mindfulness, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    792 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Engineering

    Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Visualization and Dashboards with Excel and Cognos

    Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization, Dashboard, Data Visualization Software, IBM Cognos Analytics, Microsoft Excel, Looker (Software), Scatter Plots, Tree Maps, Pivot Tables And Charts, Histogram, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Crash Course on Python

    Skills you'll gain: Scripting, Python Programming, Computer Programming, Computational Thinking, Data Structures, Integrated Development Environments, Debugging, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    40K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Science of Exercise

    Skills you'll gain: Exercise Science, Kinesiology, Physiology, Sports Medicine, Nutrition and Diet, Pharmacology, Public Health and Disease Prevention, Immunology, Preventative Care, Respiration, Athletic Training, Endocrinology, Chronic Diseases, Vital Signs, Biochemistry, Public Health, Mental Health

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    P

    Princeton University

    Algorithms, Part I

    Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Java Programming, Theoretical Computer Science, Object Oriented Programming (OOP)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12K reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Path to Insights: Data Models and Pipelines

    Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Databases, Data Warehousing, Database Systems, Data Pipelines, Business Intelligence, Data Integrity, Performance Tuning, Data Mart, Data Management, Process Optimization, Data Quality, Data Transformation, SQL, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    699 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of California, Davis

    Materials Science: 10 Things Every Engineer Should Know

    Skills you'll gain: Materials science, Semiconductors, Engineering, Mechanical Engineering, Failure Analysis, Structural Analysis, Electrical Engineering, Chemical Engineering, Thermal Management, Electronic Components, Electronics Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.5K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    A

    Amazon Web Services

    Getting Started with Data Analytics on AWS

    Skills you'll gain: Descriptive Analytics, Analytics, Dashboard, Data Analysis, Exploratory Data Analysis, Amazon Web Services, Data-Driven Decision-Making, Data Visualization, Big Data, Cloud Security, Amazon S3, Cloud Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    910 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Business: Essentials

    Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Microsoft Office, Data Analysis Expressions (DAX), Productivity Software, Data Analysis Software, Business Analytics, Analytical Skills

    4.9
    Rating, 4.9 out of 5 stars
    ·
    51K reviews

    Beginner · Course · 1 - 3 Months

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

  • Data Science Foundations: Statistical Inference: University of Colorado Boulder
  • The Science of Well-Being for Teens: Yale University
  • Introduction to Data Engineering: IBM
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Data Visualization and Dashboards with Excel and Cognos: IBM
  • Crash Course on Python: Google
  • Science of Exercise: University of Colorado Boulder
  • Algorithms, Part I: Princeton University
  • The Path to Insights: Data Models and Pipelines: Google
  • Materials Science: 10 Things Every Engineer Should Know: University of California, Davis

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