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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

    Work Smarter with Microsoft Excel

    Skills you'll gain: Microsoft Excel, Spreadsheet Software, Microsoft Office, Excel Formulas, Data Import/Export, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Coding for Everyone: C and C++

    Skills you'll gain: C++ (Programming Language), C and C++, Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Software Design Patterns, Computer Programming, Algorithms, C (Programming Language), Software Design, Program Development, Graph Theory, Code Reusability, Computational Logic, Artificial Intelligence, Data Structures, Memory Management, File I/O, Simulations

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    John Wiley & Sons

    CompTIA DataX Study Guide

    Skills you'll gain: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Analysis, Data Science, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medicine

    Skills you'll gain: Model Evaluation, Patient Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Data Preprocessing, Classification And Regression Tree (CART), Risk Modeling, Statistical Methods, Treatment Planning, Data Analysis, Diagnostic Tests, Precision Medicine, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Image Analysis, Statistical Machine Learning, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, Generative Model Architectures, ChatGPT, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Machine Learning, Data Synthesis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    Y

    Yale University

    Moral Foundations of Politics

    Skills you'll gain: Political Sciences, Policy Analysis, Social Justice, Social Studies, Public Policies, Economics, Policy, and Social Studies, Social Sciences, Law, Regulation, and Compliance, Governance, Sociology, Ethical Standards And Conduct, Liberal Arts, Socioeconomics, Economics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    6.1K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    B

    Ball State University

    Statistical Methods for Data Science

    Skills you'll gain: Statistical Methods, Probability & Statistics, Probability, Statistical Modeling, Statistical Programming, Statistical Analysis, Probability Distribution, Statistical Inference, Bayesian Statistics, Data Science, Sampling (Statistics), Statistical Hypothesis Testing, R Programming, Dimensionality Reduction, R (Software), Simulations, Statistical Visualization

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Analyze Data to Answer Questions

    Skills you'll gain: Data Validation, Google Sheets, Spreadsheet Software, Data Analysis, Data Synthesis, Data Manipulation, Analytical Skills, Consolidation, Excel Formulas, Query Languages, Pivot Tables And Charts, Data Quality, SQL, Data Integration, Data Transformation, Database Management, User Feedback

    4.6
    Rating, 4.6 out of 5 stars
    ·
    12K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Full Stack Software Developer

    Skills you'll gain: Cloud Deployment, Unit Testing, Software Development Life Cycle, CI/CD, Server Side, Istio, Cloud-Native Computing, Software Architecture, Cloud Computing Architecture, Application Deployment, Responsive Web Design, Node.JS, Django (Web Framework), Git (Version Control System), HTML and CSS, Front-End Web Development, Cloud Computing, Data Ethics, Python Programming, Software Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Probability Foundations for Data Science and AI

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Statistics, Sampling (Statistics), Data Analysis, Correlation Analysis, Statistical Analysis, Statistical Inference

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    289 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of User Experience (UX) Design

    Skills you'll gain: User Experience, UI/UX Research, User Experience Design, User Research, Design Thinking, Usability, User Centered Design, Prototyping, Sprint Retrospectives, Wireframing, Ideation, Sprint Planning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    76K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Prompt Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, AI powered creativity, Ideation, Verification And Validation, LLM Application, AI literacy, Multimodal Prompts, Responsible AI, AI Enablement, Data Visualization, Generative AI, Risking, Artificial Intelligence, Large Language Modeling, Plot (Graphics), Data Presentation, Statistical Visualization, File Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.2K reviews

    Beginner · Specialization · 1 - 3 Months

1…252627…834

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

  • Work Smarter with Microsoft Excel: Microsoft
  • Coding for Everyone: C and C++: University of California, Santa Cruz
  • CompTIA DataX Study Guide: John Wiley & Sons
  • AI for Medicine: DeepLearning.AI
  • Generative AI: Introduction and Applications: IBM
  • Moral Foundations of Politics : Yale University
  • Statistical Methods for Data Science: Ball State University
  • Analyze Data to Answer Questions: Google
  • IBM Full Stack Software Developer: IBM
  • Probability Foundations for Data Science and AI: University of Colorado Boulder

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