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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
    M

    Microsoft

    Data Modeling in Power BI

    Skills you'll gain: Data Analysis Expressions (DAX), Data Modeling, Star Schema, Power BI, Database Design, Data Analysis, Data Transformation, Time Series Analysis and Forecasting, Performance Tuning, Data Visualization

    4.3
    Rating, 4.3 out of 5 stars
    ·
    785 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    Computational Thinking for Problem Solving

    Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Problem Solving, Analytical Skills, Computer Science, Python Programming, Computer Systems, Data Structures, Computer Hardware, Computer Programming, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistics for Genomic Data Science

    Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, Statistics, R Programming, Probability & Statistics, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing

    4.2
    Rating, 4.2 out of 5 stars
    ·
    378 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Duke University

    Programming Fundamentals

    Skills you'll gain: Programming Principles, Algorithms, C (Programming Language), Computer Programming, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Regression and Classification

    Skills you'll gain: Statistical Modeling, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Regression Analysis, Predictive Modeling, R Programming, Statistical Inference, Machine Learning, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    M

    Maven Analytics

    ChatGPT & Generative AI for Data Analytics

    Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Analysis Expressions (DAX), Power BI, Deep Learning, Excel Formulas, Analytics, Google Sheets, Pivot Tables And Charts, Microsoft Excel, Artificial Intelligence, Data Analysis, Python Programming, SQL, Query Languages, Business Intelligence, Data Science, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    M

    Meta

    Introduction to Data Analytics

    Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Data Literacy, Analytics, Data Analysis, Data Visualization, Analytical Skills, Exploratory Data Analysis, Data Quality, Business Analysis, Data Manipulation, Generative AI, Data Collection, Data Management, Marketing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Using Python to Access Web Data

    Skills you'll gain: Web Scraping, Web Services, Restful API, JSON, Extensible Markup Language (XML), Network Protocols, Application Programming Interface (API), Hypertext Markup Language (HTML), Python Programming, Data Capture, Data Manipulation, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    44K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Inference and Hypothesis Testing in Data Science Applications

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Data Ethics, Sampling (Statistics), Probability & Statistics, Statistical Inference, A/B Testing, Quantitative Research

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    T

    The University of North Carolina at Chapel Hill

    Research Data Management and Sharing

    Skills you'll gain: Data Sharing, Data Management, Data Storage, File Management, Data Security, Information Management, Metadata Management, Data Architecture, Data Governance, Data Quality, Data Integrity, Data Collection, Data Ethics, Version Control

    4.7
    Rating, 4.7 out of 5 stars
    ·
    739 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    M

    McMaster University

    Hacking Exercise For Health. The surprising new science of fitness.

    Skills you'll gain: Exercise Science, Kinesiology, Productivity, Cardiology, Stress Management, Time Management, Adaptability, Human Musculoskeletal System, Nutrition and Diet, Physiology, Mental Health, Goal Setting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    815 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to statistics for data science

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1…181920…834

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

  • Data Modeling in Power BI: Microsoft
  • Computational Thinking for Problem Solving: University of Pennsylvania
  • Statistics for Genomic Data Science: Johns Hopkins University
  • Programming Fundamentals: Duke University
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Regression and Classification: University of Colorado Boulder
  • ChatGPT & Generative AI for Data Analytics: Maven Analytics
  • Introduction to Data Analytics: Meta
  • Using Python to Access Web Data: University of Michigan
  • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder

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