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Statistics for Data Science Courses Online

Master statistics for data science applications. Learn about statistical techniques, data analysis, and machine learning models.


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Explore the Statistics for Data Science Course Catalog

Sort by: Best Match
​
  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Data Visualization and Storytelling with Python

    Skills you'll gain: Scientific Visualization, Data Storytelling, Heat Maps, Data Mapping

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    BIM Fundamentals for Engineers

    Skills you'll gain: Building Information Modeling, Engineering Documentation, Data Modeling, 3D Modeling, Computer-Aided Design, Construction, Construction Management, Civil Engineering, Mechanical Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Excel for Beginners: Introduction to Spreadsheets

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    206 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Grammar and Punctuation

    Skills you'll gain: Grammar, Writing, Proofreading, Editing, Peer Review, English Language

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Science for Health Research

    Skills you'll gain: R (Software), Statistical Modeling, Data Visualization, Data Wrangling, Data Manipulation, Correlation Analysis, Histogram, Data Analysis, Statistical Analysis, Biostatistics, Statistics, Statistical Hypothesis Testing, Scripting, Package and Software Management, Predictive Modeling, Risk Analysis, Descriptive Statistics, Data Import/Export

    5
    Rating, 5 out of 5 stars
    ·
    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I
    S

    Multiple educators

    Generative AI for Growth Marketing

    Skills you'll gain: Prompt Patterns, MarTech, AI Product Strategy, Customer experience improvement, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Deep Learning, Image Quality, Content Creation, Business Ethics, Machine Learning, Image Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Modeling and Architecture

    Skills you'll gain: Data Analysis Expressions (DAX), Data Ethics, Data Modeling, Data Governance, Data Architecture, Database Design, Power BI, Star Schema, Information Privacy, Data Security, Data Integrity, Snowflake Schema, Relational Databases, Data Quality, Extract, Transform, Load, Data Cleansing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Information Technology (IT) and Cloud Fundamentals

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Generative AI, Cloud Security, Cloud Platforms, Cybersecurity, Cloud Hosting, Cloud Engineering, Cloud Computing, Data Storage, Peripheral Devices, Computer Hardware, Windows Servers, System Configuration, Artificial Intelligence, Cyber Attacks, OSI Models, General Networking, Cloud Infrastructure, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Introducing Data Analytics and Analytical Thinking

    Skills you'll gain: Business Analytics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Peking University

    Chinese for HSK 4

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Hardware Description Languages for FPGA Design

    Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Technical Design, Electronics Engineering, Electronic Hardware, Electrical and Computer Engineering, Test Case, Verification And Validation, Functional Design, Embedded Systems, Computer Engineering, Simulation and Simulation Software, Functional Testing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    618 reviews

    Intermediate · Course · 1 - 4 Weeks

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1…505152…834

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

  • Data Visualization and Storytelling with Python: Packt
  • BIM Fundamentals for Engineers: National Taiwan University
  • Statistics and Data Analysis with R: University of Colorado Boulder
  • Excel for Beginners: Introduction to Spreadsheets: Coursera
  • Grammar and Punctuation: University of California, Irvine
  • Data Science for Health Research: University of Michigan
  • Generative AI for Growth Marketing: IBM
  • Data Modeling and Architecture: Microsoft
  • Information Technology (IT) and Cloud Fundamentals: IBM
  • Introducing Data Analytics and Analytical Thinking: Google

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