Coursera
  • All DegreesExplore Bachelor’s & Master’s degrees
  • BusinessExplore MBA & Business degrees
  • Computer Science & EngineeringExplore Computer Science & Engineering degrees
  • Data ScienceExplore Data Science degrees
  • MasterTrack™Earn credit towards a Master’s degree
  • University CertificatesAdvance your career with graduate-level learning
Find your New CareerFor EnterpriseFor Universities
  • Browse
  • Top Courses
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Statistics For Data Science

    Filter by

    1350 results for "statistics for data science"

    • Placeholder
      University of Alberta

      Prediction and Control with Function Approximation

      Skills you'll gain: Machine Learning, Reinforcement Learning, Artificial Neural Networks, Entrepreneurship, Deep Learning, Machine Learning Algorithms, Algorithms, Computer Programming, Python Programming, Statistical Programming, Theoretical Computer Science, Business Psychology

      4.8

      (757 reviews)

      Intermediate · Course · 1-3 Months

    • Placeholder
      Coursera Project Network

      Generating New Recipes using GPT-2

      Skills you'll gain: Computer Programming, Finance, Machine Learning, Natural Language Processing, Python Programming, Risk Management, Statistical Programming, Marketing

      4.0

      (40 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      University of California, Davis

      Distributed Computing with Spark SQL

      Skills you'll gain: Data Management, Apache, Big Data, Databases, SQL, Statistical Programming, Data Warehousing, Machine Learning, Data Science

      4.5

      (574 reviews)

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      EIT Digital

      Web of Data

      Skills you'll gain: Cloud Computing, Semantic Web, Data Management, Databases, SQL, Statistical Programming, Computer Programming, Software Architecture, Software Engineering, Theoretical Computer Science, Computer Networking, Computer Programming Tools, Network Model, Network Security, Programming Principles, Security Engineering

      4.1

      (81 reviews)

      Intermediate · Course · 1-4 Weeks

    Searches related to statistics for data science

    statistics for data science with python
    advanced statistics for data science
    statistics for genomic data science
    probability & statistics for machine learning & data science
    statistical modeling for data science applications
    statistical inference for estimation in data science
    advanced linear models for data science 2: statistical linear models
    1…81828384

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

    • Prediction and Control with Function Approximation: University of Alberta
    • Generating New Recipes using GPT-2: Coursera Project Network
    • Distributed Computing with Spark SQL: University of California, Davis
    • Web of Data: EIT Digital

    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.‎

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

    Coursera Footer

    Learn Something New

    • Learn a Language
    • Learn Accounting
    • Learn Coding
    • Learn Copywriting
    • Learn HR
    • Learn Public Relations
    • Boulder MS Data Science
    • Illinois iMBA
    • Illinois MS Computer Science
    • UMich MS in Applied Data Science

    Popular Data Science Topics

    • Artificial Intelligence
    • Data Analysis
    • Data Engineering
    • Data Science
    • Excel
    • Machine Learning
    • Python
    • Power BI
    • R Programming
    • SQL

    Popular Computer Science & IT Topics

    • Blockchain
    • Coding
    • Computer Science
    • Cybersecurity
    • Full Stack Web Development
    • IT
    • Java
    • Software Engineering
    • Web Design
    • Web Development

    Popular Business Topics

    • Accounting
    • Business Finance
    • Communication Skills
    • Leadership & Management
    • Marketing
    • Product Management
    • Project Management
    • UX Design
    • UX Research
    • Writing

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Coronavirus Response
    • Free Courses
    • All Courses

    Community

    • Learners
    • Partners
    • Beta Testers
    • Translators
    • Blog
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    Learn Anywhere
    Placeholder
    Placeholder
    Placeholder
    © 2023 Coursera Inc. All rights reserved.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder