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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


  • U

    University of Colorado Boulder

    Statistics and Data Analysis with R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Data Literacy, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Resampling, Selection and Splines

    Skills you'll gain: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Machine Learning Methods, Statistics, Predictive Modeling, Applied Mathematics, Logistic Regression, Probability Distribution

    Build toward a degree

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Generative AI for IT Systems Analysts and Architects

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Systems Analysis, Stakeholder Communications, LLM Application, Systems Architecture, Solution Architecture, Real Time Data, AI Workflows, AI Personalization, Software Architecture, Stakeholder Analysis, Systems Thinking, Responsible AI, Business Communication, Machine Learning, Project Documentation, Context Management, Technical Consulting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Marketing in a Digital World

    Skills you'll gain: Digital Marketing, Marketing, Marketing Planning, Marketing Strategies, Digital Transformation, Digital Advertising, Customer Engagement

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    17K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google

    Play It Safe: Manage Security Risks

    Skills you'll gain: Security Management, Threat Management, Cybersecurity, Cyber Risk, Risk Management, Incident Response, Vulnerability Management, Security Information and Event Management (SIEM), Security Controls, Continuous Monitoring, Information Systems Security, Enterprise Security, Risk Analysis, Threat Detection, Information Assurance, Auditing, Compliance Auditing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11K reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Meta

    Introduction to Front-End Development

    Skills you'll gain: HTML and CSS, Bootstrap (Front-End Framework), Responsive Web Design, Front-End Web Development, User Interface (UI), JavaScript Frameworks, Web Design and Development, Web Applications, Web Development Tools, React.js, General Networking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Statistical Modeling

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Introduction to Genomic Technologies

    Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Computer Science, Statistical Analysis, Computational Thinking, Biostatistics, Statistics, Software Engineering, Algorithms, Biology

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

    Mixed · Course · 1 - 4 Weeks

  • Status: Bestseller
    Bestseller
    M

    Microsoft

    Microsoft Data Visualization

    Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Modeling, Data Governance, Extract, Transform, Load, Data Visualization, Interactive Data Visualization, Business Intelligence, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Data Architecture, Data Cleansing, Data Transformation, Database Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    169 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Bestseller
    Bestseller
    I

    IBM

    IBM Full-Stack JavaScript Developer

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Istio, Software Architecture, Node.JS, React Redux, Application Deployment, Restful API, Kubernetes, Database Design, CI/CD, Cloud-Native Computing, Responsive Web Design, NoSQL, OpenShift, Git (Version Control System), Ajax, Javascript, Azure DevOps, Engineering Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.3K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • I

    IBM

    IBM IT Support

    Skills you'll gain: Cloud Computing Architecture, Technical Support, Cloud Services, Cloud Deployment, Generative AI, Hardware Troubleshooting, IT Service Management, Cloud Security, Cloud Infrastructure, Cybersecurity, Cloud Platforms, Cloud Computing, Professional Networking, Help Desk Support, Data Storage, Desktop Support, Peripheral Devices, Information Technology, Artificial Intelligence, Customer Service

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Statistics and Data Analysis with R: University of Colorado Boulder
  • Resampling, Selection and Splines: University of Colorado Boulder
  • Generative AI for IT Systems Analysts and Architects: IBM
  • Marketing in a Digital World: University of Illinois Urbana-Champaign
  • Play It Safe: Manage Security Risks: Google
  • Introduction to Front-End Development: Meta
  • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
  • Introduction to Genomic Technologies: Johns Hopkins University
  • Microsoft Data Visualization: Microsoft
  • IBM Full-Stack JavaScript Developer: IBM

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