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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.


More to explore:

Popular Statistics For Data Science Courses and Certifications


  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Transform Data: SQL & Pandas Mastery

    Skills you'll gain: SQL, Data Transformation, Data Wrangling, Data Manipulation, Pandas (Python Package), Query Languages, Consolidation, Time Series Analysis and Forecasting, Analytics, Pivot Tables And Charts, Apache Spark

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Operating Systems: Overview, Administration, and Security

    Skills you'll gain: Operating System Administration, Cloud Computing, Linux Commands, Linux Administration, Linux Servers, Cloud Security, Operating Systems, Windows PowerShell, Windows Servers, File Systems, System Software, Mac OS, Command-Line Interface, Active Directory, Computer Systems, Virtual Machines, Firewall, Virtualization, Containerization, User Accounts

    4.6
    Rating, 4.6 out of 5 stars
    ·
    5.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    C++: Data Structures and Algorithms

    Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, C++ (Programming Language), C and C++, Programming Principles, Computer Programming, Object Oriented Programming (OOP), Technical Design, Theoretical Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    California Institute of the Arts

    Introduction to Typography

    Skills you'll gain: Typography, Graphic Design, Graphic and Visual Design, Adobe InDesign, Design, Art History, Design Elements And Principles, Adobe Illustrator, Peer Review, Creativity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Perfect Tenses and Modals

    Skills you'll gain: Grammar, English Language, Language Learning, Writing, Vocabulary

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    Programming Languages, Part A

    Skills you'll gain: Software Installation, Programming Principles, Other Programming Languages, Functional Design, Computer Programming, Ruby (Programming Language), Theoretical Computer Science, Software Design, Computational Thinking

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    C

    Coursera

    Cleanse, Analyze and Validate Financial Data

    Skills you'll gain: Data Validation, Pivot Tables And Charts, Dashboard, Microsoft Excel, Financial Data, Data Cleansing, Case Studies, Data Transformation, Data Quality, Data Integrity, Data Manipulation, Data Integration, Financial Analysis, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Social Media Data Analytics

    Skills you'll gain: Social Media Marketing, Instagram, Business Intelligence, Predictive Modeling, Predictive Analytics, Case Studies

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Debug Neural Networks: Analyze Training Dynamics

    Skills you'll gain: Applied Machine Learning, Analysis, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate Your Reports with Ease

    Skills you'll gain: Marketing Automation, Email Automation, Scheduling, Management Reporting, Performance Reporting, Automation, Stakeholder Communications, Report Writing, Scalability, Continuous Improvement Process

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    AI Agents in Typescript/Javascript with Generative AI

    Skills you'll gain: Generative AI Agents, Debugging, TypeScript, Agentic systems, AI Workflows, Node.JS, OpenAI API, Generative AI, Program Development, Artificial Intelligence, LLM Application, Programming Principles, Maintainability, Development Environment, Prompt Engineering, Application Frameworks, Javascript, Large Language Modeling, File Systems

    Beginner · Course · 1 - 4 Weeks

1…116117118…834

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

  • Transform Data: SQL & Pandas Mastery: Coursera
  • Operating Systems: Overview, Administration, and Security: IBM
  • C++: Data Structures and Algorithms: Codio
  • Introduction to Typography: California Institute of the Arts
  • Perfect Tenses and Modals: University of California, Irvine
  • Programming Languages, Part A: University of Washington
  • Cleanse, Analyze and Validate Financial Data: Coursera
  • Social Media Data Analytics: Coursera
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Debug Neural Networks: Analyze Training Dynamics: Coursera

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