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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


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    U

    University of Maryland, College Park

    Marketing in the Age of AI

    Skills you'll gain: Marketing Automation, Online Advertising, AI Enablement, Marketing Analytics, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

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    N

    NVIDIA

    Introduction to Networking

    Skills you'll gain: OSI Models, TCP/IP, Data Centers, Network Protocols, Network Infrastructure, Local Area Networks, General Networking, Network Architecture, Computer Networking, Network Planning And Design, Network Switches, System Requirements

    4.6
    Rating, 4.6 out of 5 stars
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    670 reviews

    Beginner · Course · 1 - 4 Weeks

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    Technical University of Denmark (DTU)

    Antimicrobial resistance - theory and methods

    Skills you'll gain: Laboratory Testing, Quality Assurance, Microbiology, Infectious Diseases, Bioinformatics, Medical Laboratory, Molecular, Cellular, and Microbiology, Epidemiology, Public Health and Disease Prevention, Data Quality, Medical Science and Research, Biology, Public Health

    4.7
    Rating, 4.7 out of 5 stars
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    2.6K reviews

    Intermediate · Course · 1 - 3 Months

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    C

    Coursera

    Scrum: Understand Core Project Roles

    Skills you'll gain: Backlogs, Sprint Retrospectives, Agile Project Management, Sprint Planning, Agile Methodology, Team Building, Project Management, Team Management, Project Management Life Cycle, Cross-Functional Collaboration, Case Studies, Prioritization, Continuous Improvement Process, Product Development, Communication

    Beginner · Course · 1 - 4 Weeks

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    Y

    Yale University

    Essentials of Global Health

    Skills you'll gain: Health Disparities, Health Systems, Public Health, Epidemiology, Social Determinants Of Health, Health Promotion, Infectious Diseases, Chronic Diseases, Health Policy, Environment Health And Safety, Medical Science and Research, Injury Prevention, Nutrition and Diet

    4.8
    Rating, 4.8 out of 5 stars
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    2.2K reviews

    Mixed · Course · 1 - 3 Months

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    Vanderbilt University

    Generative AI & AI Agent Organizational Strategy for Leaders

    Skills you'll gain: AI Enablement, AI Product Strategy, Agentic systems, Human Resource Strategy, Scalability, Responsible AI, Solution Design, Procurement, Decision Making

    Beginner · Course · 1 - 3 Months

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    I

    IE Business School

    Brand and Product Management

    Skills you'll gain: Product Lifecycle Management, Brand Strategy, Brand Management, Customer experience strategy (CX), Branding, Brand Awareness, Product Management, Brand Loyalty, Product Strategy, Product Planning, New Product Development, Internal Communications, Design and Product, Employee Engagement, Growth Strategies, Customer Engagement, Portfolio Management, Competitive Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    2.7K reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Typography and Color Theory in Design with Canva

    Skills you'll gain: Canva (Software), Color Theory, Typography, Creative Design, Design, Graphic and Visual Design, Graphic Design, Visual Design, Design Elements And Principles

    Beginner · Course · 1 - 4 Weeks

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    Peking University

    程序设计与算法

    Skills you'll gain: Data Structures, C++ (Programming Language), Algorithms, Object Oriented Programming (OOP), C (Programming Language), File I/O, Computational Thinking, Graph Theory, Program Development, Programming Principles, Theoretical Computer Science, Computer Science, Computer Programming, Data Storage, Computer Architecture, Database Systems, Computer Hardware, Computational Logic, Software Engineering, Query Languages

    4.8
    Rating, 4.8 out of 5 stars
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    2.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    IBM

    Developing AI Applications with Python and Flask

    Skills you'll gain: Restful API, Flask (Web Framework), Application Deployment, Web Applications, Python Programming, AI Enablement, Server Side, Artificial Intelligence, Code Review, Debugging, Integrated Development Environments, Programming Principles, Unit Testing

    4.5
    Rating, 4.5 out of 5 stars
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    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Foundations of 3D Modeling in Blender

    Skills you'll gain: 3D Modeling, 3D Assets, Computer Graphics, Visualization (Computer Graphics)

    Intermediate · Course · 3 - 6 Months

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    EDUCBA

    SEO Case Study: Analyze, Optimize & Grow

    Skills you'll gain: Search Engine Optimization, Case Studies, Process Improvement and Optimization, Web Analytics and SEO, Competitive Analysis, Keyword Research, Content Strategy, Business Strategy, Marketing Strategies, Analysis, Auditing

    Mixed · Course · 1 - 4 Weeks

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

  • Marketing in the Age of AI: University of Maryland, College Park
  • Introduction to Networking: NVIDIA
  • Antimicrobial resistance - theory and methods: Technical University of Denmark (DTU)
  • Scrum: Understand Core Project Roles: Coursera
  • Essentials of Global Health: Yale University
  • Generative AI & AI Agent Organizational Strategy for Leaders: Vanderbilt University
  • Brand and Product Management: IE Business School
  • Typography and Color Theory in Design with Canva: Coursera
  • 程序设计与算法: Peking University
  • Developing AI Applications with Python and Flask: IBM

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