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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: Preview
    Preview
    U

    Università di Napoli Federico II

    Global Politics

    Skills you'll gain: International Relations, Political Sciences, Social Studies, Social Sciences, Diplomacy, World History, Research, Governance, Environmental Issue, Cultural Diversity, Intercultural Competence, Economics, Climate Change Adaptation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    56 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Setting Up a Digital Library with EPIC

    Skills you'll gain: Digital pedagogy, Education Software and Technology, digital literacy, Content Management, User Accounts

    4.7
    Rating, 4.7 out of 5 stars
    ·
    83 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Algorithms for Searching, Sorting, and Indexing

    Skills you'll gain: Data Structures, Algorithms, Theoretical Computer Science, Programming Principles, Pseudocode, Computational Thinking, Analysis, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    524 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    English for Journalism

    Skills you'll gain: Journalism, Research, Interviewing Skills, Vocabulary, Media and Communications, Grammar, Electronic Media, Digital Publishing, English Language, Storytelling, Editing, Trend Analysis, Ethical Standards And Conduct

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

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science with R

    Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Web Scraping, Ggplot2, Model Evaluation, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control

    4.8
    Rating, 4.8 out of 5 stars
    ·
    30 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    Machine Learning for All

    Skills you'll gain: Data Preprocessing, Machine Learning, Artificial Intelligence, Model Evaluation, Data Analysis, Image Analysis, Data Collection, Classification Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Getting Started with Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft Office, Data Entry, Microsoft 365

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Responsible AI, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Computing, Cloud Storage, Generative AI, Big Data, Emerging Technologies, Data Analysis, Data Science, Natural Language Processing, Robotics, Business Logic, Business

    4.7
    Rating, 4.7 out of 5 stars
    ·
    105K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Peking University

    Chinese for HSK 1

    Skills you'll gain: Language Learning, Language Competency, Oral Expression, Vocabulary, Grammar, Oral Comprehension, Culture

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    The Arduino Platform and C Programming

    Skills you'll gain: Embedded Software, Embedded Systems, Debugging, C (Programming Language), Electronic Components, Computer Hardware, Integrated Development Environments, Computer Programming, Electronics Engineering, Network Protocols, Development Environment, Digital Communications, Open Source Technology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Design Thinking for Innovation

    Skills you'll gain: Design Thinking, Creative Problem-Solving, Ideation, Innovation, Creativity, Strategic Thinking, Case Studies, Market Opportunities, Human Centered Design, Curiosity, Storytelling, Growth Mindedness, Business Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.1K reviews

    Beginner · Course · 1 - 3 Months

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

  • Global Politics: Università di Napoli Federico II
  • Setting Up a Digital Library with EPIC: Coursera
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • Algorithms for Searching, Sorting, and Indexing: University of Colorado Boulder
  • English for Journalism: University of Pennsylvania
  • Data Science with R: Duke University
  • Machine Learning for All: University of London
  • Getting Started with Microsoft Excel: Coursera
  • Key Technologies for Business: IBM
  • Chinese for HSK 1: Peking University

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