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Statistics for Data Science Courses Online

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Explore the Statistics for Data Science Course Catalog

  • Status: Free Trial
    Free Trial
    G

    Google

    Prepare Data for Exploration

    Skills you'll gain: Data Ethics, Data Analysis, Data Literacy, Data Security, Google Sheets, Databases, Data Storage, Data Quality, Data Management, Data Collection, SQL, Data Import/Export, Metadata Management, Unstructured Data

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Foundations for Business: Intro to AI Strategy

    Skills you'll gain: Data Literacy, Data Mining, Generative AI, Responsible AI, LLM Application, Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Business Strategy, Business Process Automation, Data Architecture, Natural Language Processing, Market Opportunities, Leadership

    4.7
    Rating, 4.7 out of 5 stars
    ·
    97K reviews

    Beginner · Specialization · 1 - 3 Months

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Regression Analysis, Data Analysis, R Programming, Probability, Predictive Modeling, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing Data for Analysis with Microsoft Excel

    Skills you'll gain: Excel Formulas, Microsoft Excel, Power BI, Spreadsheet Software, Timelines, Data Analysis, Data Manipulation, Pivot Tables And Charts, Data Presentation, Data Cleansing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analysis and Visualization with Power BI

    Skills you'll gain: Dashboard, Power BI, Data Storytelling, Data Visualization Software, Microsoft Power Platform, Data Visualization, Data Presentation, Advanced Analytics, Statistical Reporting, Interactive Data Visualization, Business Intelligence, Data Analysis, Data-Driven Decision-Making, Web Content Accessibility Guidelines, Time Series Analysis and Forecasting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    867 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Ask Questions to Make Data-Driven Decisions

    Skills you'll gain: Spreadsheet Software, Dashboard, Stakeholder Management, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Data Presentation, Business Analysis, Quantitative Research, Problem Solving, Smart Goals

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera Project Network

    Data Science Challenge

    Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    190 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Big Data

    Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Infrastructure, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Fundamentals of Computing

    Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Theoretical Computer Science, Computer Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python Project for Data Engineering

    Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Restful API, Python Programming, Unit Testing, Style Guides

    4.6
    Rating, 4.6 out of 5 stars
    ·
    804 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Foundations for Everyone: A Practical Intro for Beginners

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, IBM Cloud, Responsible AI, LLM Application, Workflow Management, Action Oriented, No-Code Development, Machine Learning Software, Business Workflow Analysis, Machine Learning, AI Product Strategy, Artificial Intelligence, Self Service Technologies, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, Artificial Intelligence, Machine Learning, Strategic Thinking, Data Science, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    50K reviews

    Beginner · Course · 1 - 4 Weeks

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1…91011…834

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

  • Prepare Data for Exploration: Google
  • IBM AI Foundations for Business: Intro to AI Strategy: IBM
  • Bayesian Statistics: Duke University
  • Preparing Data for Analysis with Microsoft Excel: Microsoft
  • Data Analysis and Visualization with Power BI: Microsoft
  • Ask Questions to Make Data-Driven Decisions: Google
  • Data Science Challenge: Coursera Project Network
  • Introduction to Big Data: University of California San Diego
  • Fundamentals of Computing: Rice University
  • Python Project for Data Engineering: IBM

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