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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
    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: Free Trial
    Free Trial
    D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Methods, Statistics, Statistical Analysis, Data Analysis, Statistical Software, Probability & Statistics, Probability, R Programming, Statistical Modeling, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Architect with SQL, Spark & Kafka

    Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Data Security, Linux Commands, Data Migration, Database Design, Data Governance, MySQL, Database Administration, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Data Store, Data Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.1K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Data Structures

    Skills you'll gain: Data Structures, Python Programming, Programming Principles, Data Processing, Data Manipulation, Development Environment, File Management, Virtual Environment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    97K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Introduction to Statistics & Data Analysis in Public Health

    Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Michigan

    Data Science Ethics

    Skills you'll gain: Data Ethics, Informed Consent, Information Privacy, Personally Identifiable Information, Data Security, Data Governance, Ethical Standards And Conduct, Big Data, Responsible AI, Intellectual Property, Data Analysis, Social Studies, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Programming for Everybody (Getting Started with Python)

    Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    232K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Fundamentals for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Spreadsheet Software, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Pandas for Data Science

    Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, NumPy, Query Languages, Data Integration, Python Programming, Data Import/Export, Data Analysis, Debugging

    4.2
    Rating, 4.2 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Cape Town

    Understanding Clinical Research: Behind the Statistics

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Probability & Statistics, Diagnostic Tests, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Data Collection, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Engineering Foundations

    Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, IBM DB2, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Databases, Data Warehousing, Data Governance, Database Management Systems, Relational Databases, Stored Procedure, Data Import/Export, Programming Principles, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    58K reviews

    Beginner · Specialization · 3 - 6 Months

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1…789…834

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

  • AI Foundations for Everyone: A Practical Intro for Beginners: IBM
  • Data Analysis with R: Duke University
  • IBM Data Architect with SQL, Spark & Kafka: IBM
  • Introduction to Probability and Data with R: Duke University
  • Python Data Structures: University of Michigan
  • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
  • Data Science Ethics: University of Michigan
  • Programming for Everybody (Getting Started with Python): University of Michigan
  • Excel Fundamentals for Data Analysis: Macquarie University
  • Pandas for Data Science: Duke University

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