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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


  • J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    76 reviews

    Mixed · Course · 1 - 3 Months

  • A

    Arizona State University

    Empathy for Self and Others

    Skills you'll gain: Empathy, Compassion, Emotional Intelligence, Social Skills, Self-Awareness, Personal Development, Professional Development, Active Listening, Leadership, Curiosity, Mindfulness

    4.6
    Rating, 4.6 out of 5 stars
    ·
    45 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Codio

    Software Engineering Tools and Practices

    Skills you'll gain: Jest (JavaScript Testing Framework), CI/CD, Model View Controller, User Acceptance Testing (UAT), Continuous Integration, Cucumber (Software), Postman API Platform, Ansible, Software Testing, OAuth, Web Development Tools, Behavior-Driven Development, Application Performance Management, Prometheus (Software), Authentications, Test Driven Development (TDD), Package and Software Management, Cloud API, Javascript, Software Engineering

    4
    Rating, 4 out of 5 stars
    ·
    58 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Columbia University

    Computational Methods in Pricing and Model Calibration

    Skills you'll gain: Regression Analysis, Actuarial Science, Derivatives, Financial Market, Statistical Methods, Market Data, Financial Modeling, Securities (Finance), Risk Modeling, Financial Systems, Mathematical Modeling, Numerical Analysis, Applied Mathematics, Python Programming, Process Optimization, Probability Distribution, Algorithms, Case Studies

    4.4
    Rating, 4.4 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    Saïd Business School, University of Oxford

    AI in Financial Services: Foundations through future trends

    Skills you'll gain: FinTech, Financial Inclusion, Financial Services, Responsible AI, Data Ethics, Artificial Intelligence, Mobile Banking, Banking Services, Data Sharing, Financial Regulation, Data Governance, Application Programming Interface (API), Financial Data, Banking, Finance, Artificial Intelligence and Machine Learning (AI/ML), Business Ethics, Innovation, General Data Protection Regulation (GDPR), Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    87 reviews

    Beginner · Specialization · 3 - 6 Months

  • M

    Michigan State University

    Low Poly Art For Video Games

    Skills you'll gain: Unity Engine, 3D Modeling, Color Theory, Animation and Game Design, Autodesk Maya, Video Game Development, Computer Graphics, Adobe Photoshop, Creativity

    4.3
    Rating, 4.3 out of 5 stars
    ·
    73 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of California San Diego

    Internet of Things V2: Setting up and Using Cloud Services

    Skills you'll gain: Cloud Development, Cloud Computing Architecture, Cloud Computing, Amazon Web Services, Cloud Infrastructure, Cloud Services, Internet Of Things, Amazon Elastic Compute Cloud, Linux Administration, Software Installation, Embedded Systems, Machine Learning, Command-Line Interface, Restful API

    4.6
    Rating, 4.6 out of 5 stars
    ·
    42 reviews

    Mixed · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Quantitative Formal Modeling and Worst-Case Performance Analysis

    Skills you'll gain: Computational Thinking, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Performance Testing, Embedded Systems, Graph Theory, Technical Documentation, Model Evaluation, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    44 reviews

    Mixed · Course · 1 - 3 Months

  • I

    Imperial College London

    Design and Implementation of Digital Health Interventions

    Skills you'll gain: Agile Methodology, Health Care Procedure and Regulation, Health Technology, Data Ethics, User Centered Design, Technology Strategies, Health Informatics, Health Policy, Regulatory Compliance, Data Security, Healthcare Ethics, Strategic Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 4 Weeks

  • X

    Xbox

    Fundamentals of Graphic Design

    Skills you'll gain: Color Theory, Layout Design, Typography, Adobe Photoshop, Photo Editing, Graphic and Visual Design, Design Elements And Principles, Design, Graphic Design, Image Quality

    4.5
    Rating, 4.5 out of 5 stars
    ·
    59 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Grab Data Fast with Vertical and Horizontal LOOKUP

    Skills you'll gain: Google Sheets, Spreadsheet Software, Data Import/Export, Data Analysis Software, Data Presentation, Data Analysis, Business Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    75 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Getting Started in Microsoft SharePoint

    Skills you'll gain: Document Management, Intranet, Collaborative Software, Microsoft 365, Team Management, Content Management Systems, Newsletters, File Management

    4.1
    Rating, 4.1 out of 5 stars
    ·
    72 reviews

    Beginner · Guided Project · Less Than 2 Hours

1…596597598…834

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

  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • Empathy for Self and Others: Arizona State University
  • Software Engineering Tools and Practices: Codio
  • Computational Methods in Pricing and Model Calibration: Columbia University
  • AI in Financial Services: Foundations through future trends: Saïd Business School, University of Oxford
  • Low Poly Art For Video Games: Michigan State University
  • Internet of Things V2: Setting up and Using Cloud Services: University of California San Diego
  • Quantitative Formal Modeling and Worst-Case Performance Analysis: 28DIGITAL
  • Design and Implementation of Digital Health Interventions : Imperial College London
  • Fundamentals of Graphic Design: Xbox

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