• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Statistics For Data Science
    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Complete graduate-level learning without committing to a full degree program.
    Earn a university-issued career credential in a flexible, interactive format.

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Results for "statistics for data science"

    • Snowflake

      Introduction to Modern Data Engineering with Snowflake

      Skills you'll gain: Data Pipelines, Data Transformation, Extract, Transform, Load, Data Presentation, Data Integration, Data Warehousing, Data Processing, Data Import/Export, Stored Procedure, Data Sharing, SQL, Automation, Command-Line Interface

      4.8
      Rating, 4.8 out of 5 stars
      ·
      95 reviews

      Intermediate · Course · 1 - 3 Months

    • University of Michigan

      PostgreSQL for Everybody

      Skills you'll gain: Stored Procedure, Database Design, SQL, Relational Databases, NoSQL, PostgreSQL, Database Architecture and Administration, Database Systems, Database Theory, Database Management, Data Modeling, Databases, JSON, Database Development, Scalability, Database Management Systems, Distributed Computing, Cloud Applications, Text Mining, Query Languages

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

      Intermediate · Specialization · 3 - 6 Months

    • University of London

      Machine Learning for All

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection, Development Testing

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

      Beginner · Course · 1 - 4 Weeks

    • Edureka

      Fundamentals of Data Governance

      Skills you'll gain: Data Governance, Data Management, Information Management, Metadata Management, Data Strategy, Governance, Data Integrity, Cloud Management, Regulatory Requirements, Compliance Management, Data Quality, Data Security, Cloud Solutions

      4.3
      Rating, 4.3 out of 5 stars
      ·
      40 reviews

      Beginner · Course · 1 - 4 Weeks

    • Johns Hopkins University

      Neuroscience and Neuroimaging

      Skills you'll gain: Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Analytical Skills, Experimentation, Research Design, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Scientific Visualization, Science and Research, Scientific Methods, Medical Science and Research, Data Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • IBM

      IBM IT Project Manager

      Skills you'll gain: Stakeholder Engagement, Software Development Life Cycle, Agile Software Development, Project Management Life Cycle, Resource Management, Risk Management, Peer Review, Earned Value Management, Stakeholder Management, Agile Methodology, Project Risk Management, Team Motivation, Kanban Principles, Project Schedules, Development Environment, Project Management Institute (PMI) Methodology, Information Technology, Sprint Retrospectives, Interviewing Skills, Project Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.2K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free
      Free

      Yale University

      The Science of Well-Being for Parents

      Skills you'll gain: Stress Management, Parent Communication, Time Management, Composure, Emotional Intelligence, Calendar Management, Personal Development, Organizational Skills, Prioritization, Overcoming Obstacles, Self-Awareness, Growth Mindedness, Positive Behavior Support, Resilience, Patience, Optimism, Mental Health, Self-Motivation, Behavioral Health, Problem Solving

      Beginner · Course · 1 - 3 Months

    • IBM

      IBM IT Scrum Master

      Skills you'll gain: Software Development Life Cycle, Agile Software Development, User Story, Sprint Retrospectives, Agile Methodology, DevOps, Kanban Principles, Development Environment, Information Technology, Software Engineering, Computer Hardware, Agile Project Management, Software Architecture, Software Design, Sprint Planning, Cloud Computing, Backlogs, Cloud-Native Computing, Programming Principles, Scrum (Software Development)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • IBM

      Machine Learning with Python

      Skills you'll gain: Supervised Learning, Feature Engineering, Jupyter, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Classification And Regression Tree (CART), Matplotlib, Regression Analysis, Random Forest Algorithm, Statistical Modeling, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Intermediate · Course · 1 - 3 Months

    • Arizona State University

      Introduction to Materials Science

      Skills you'll gain: Engineering, Mechanical Engineering, Manufacturing Processes, Physical Science, Physics, Civil Engineering, Failure Analysis, Semiconductors, Electronic Components, General Science and Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      132 reviews

      Beginner · Course · 1 - 3 Months

    • Google

      Play It Safe: Manage Security Risks

      Skills you'll gain: Threat Management, Cybersecurity, Cyber Risk, Risk Management, Incident Response, Security Information and Event Management (SIEM), Security Controls, Information Systems Security, Enterprise Security, Risk Analysis, Information Assurance, Open Web Application Security Project (OWASP), Auditing, Compliance Auditing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • LearnQuest

      Foundations of Computer Science

      Skills you'll gain: Visual Basic (Programming Language), System Software, Databases, Relational Databases, Algorithms, Computer Architecture, Network Security, Computer Hardware, SQL, Computer Science, Computer Networking, Computer Programming, Network Protocols, Programming Principles, Software Development, Program Development, Automation, Analysis, Cloud Computing, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      109 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to statistics for data science

    statistics for data science essentials
    advanced statistics for data science
    statistics for data science with python
    introduction to bayesian statistics for data science
    statistics for genomic data science
    r programming for statistics and data science
    probability & statistics for machine learning & data science
    statistical methods for data science
    1…343536…834

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

    • Introduction to Modern Data Engineering with Snowflake: Snowflake
    • PostgreSQL for Everybody: University of Michigan
    • Machine Learning for All: University of London
    • Fundamentals of Data Governance: Edureka
    • Neuroscience and Neuroimaging: Johns Hopkins University
    • IBM IT Project Manager: IBM
    • The Science of Well-Being for Parents: Yale University
    • IBM IT Scrum Master: IBM
    • Machine Learning with Python: IBM
    • Introduction to Materials Science : Arizona State University

    Frequently Asked Questions about Statistics For Data Science

    Statistics for data science refers to the mathematical analysis used to sort, analyze, interpret, and present data. It includes concepts like probability distribution, regression, and over or under-sampling. Descriptive statistics organizes data based on characteristics of the data set, such as normal distribution, central tendency, variability, and standard deviation. Inferential statistics incorporates the use of probability theory to infer characteristics of the data set.‎

    Learning statistics for data science can lead to career opportunities in data science and related fields. As organizations increasingly rely on data to make decisions, they tend to seek out analysts who understand how to work with data and present it to stakeholders. Learning statistics for data science can also provide a good salary. As of 2020, the median pay for computer and information research scientists in the US is $122,840 and the job market remains positive, according to the Bureau of Labor Statistics. Mathematicians and statisticians have a similar job outlook and a median salary of $92,030 per year.‎

    Data analysis, data architects, data scientists, and information officers typically use statistics for data science in their regular work. Data science is a broad field, and statistics can be useful in other roles that require analyzing and presenting data. This includes data warehouse analysts, data visualization developers, database managers, and machine learning engineers. Additional related fields include financial analysts, teachers, and researchers working for universities and corporate settings.‎

    Through online courses, you can learn the fundamentals of statistics for data science, including the theories and techniques statisticians use in their work. Some courses explore fundamental concepts like Bayes’ Theorem and probability theory. Others present methods for calculating and evaluating data sets. You can brush up on your knowledge of programs statisticians use, like Excel and Python, or examine the application of statistics specific fields.‎

    Online Statistics for Data Science courses offer a convenient and flexible way to enhance your knowledge or learn new Statistics for Data Science skills. Choose from a wide range of Statistics for Data Science courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Statistics for Data Science, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

    Other topics to explore

    Arts and Humanities
    338 courses
    Business
    1095 courses
    Computer Science
    668 courses
    Data Science
    425 courses
    Information Technology
    145 courses
    Health
    471 courses
    Math and Logic
    70 courses
    Personal Development
    137 courses
    Physical Science and Engineering
    413 courses
    Social Sciences
    401 courses
    Language Learning
    150 courses

    Coursera Footer

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Do Not Sell/Share
    Learn Anywhere
    Download on the App Store
    Get it on Google Play
    Logo of Certified B Corporation
    © 2025 Coursera Inc. All rights reserved.
    • Coursera Facebook
    • Coursera Linkedin
    • Coursera Twitter
    • Coursera YouTube
    • Coursera Instagram
    • Coursera TikTok