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    • Statistics For Data Science

    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

    • J

      Johns Hopkins University

      Advanced Linear Models for Data Science 2: Statistical Linear Models

      Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

      4.6
      Rating, 4.6 out of 5 stars
      ·
      101 reviews

      Advanced · Course · 1 - 4 Weeks

    • M

      Meta

      Programming in Python

      Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Test Driven Development (TDD), Programming Principles, Software Testing, Data Structures, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 3 Months

    • I

      Infosec

      Python for Cybersecurity

      Skills you'll gain: MITRE ATT&CK Framework, Cyber Threat Hunting, Threat Detection, Threat Modeling, Cybersecurity, Network Security, System Monitoring, Cyber Operations, Continuous Monitoring, Cyber Threat Intelligence, Endpoint Security, Incident Response, Scripting, Network Monitoring, Command-Line Interface, Python Programming, Data Access, Authorization (Computing), IT Automation, Intrusion Detection and Prevention

      4.5
      Rating, 4.5 out of 5 stars
      ·
      500 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California, Irvine

      An Introduction to Programming the Internet of Things (IOT)

      Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Functional Requirement, Debugging, General Networking, Hardware Design, Systems Design, Operating Systems, Requirements Analysis, Electronic Hardware, System Design and Implementation, C (Programming Language), Basic Electrical Systems, Application Programming Interface (API), TCP/IP, Wireless Networks, Integrated Development Environments

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

      Beginner · Specialization · 3 - 6 Months

    • G

      Georgia Institute of Technology

      Write Professional Emails in English

      Skills you'll gain: Business Writing, Business Correspondence, Business Communication, Writing, Writing and Editing, Grammar, Proofreading, Editing, Communication, Cultural Diversity, Language Competency, Cultural Sensitivity, Intercultural Competence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Programming with a Purpose

      Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java, Computational Thinking, Computer Science, Algorithms, Animations, Debugging

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

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École Polytechnique

      Étudier en France: French Intermediate course B1-B2

      Skills you'll gain: Language Competency, Oral Comprehension, Language Learning, Grammar, Intercultural Competence, Higher Education, Oral Expression, Vocabulary, Cultural Diversity, Writing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.1K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IESE Business School

      Finance for Managers

      Skills you'll gain: Financial Statement Analysis, Operational Analysis, Balance Sheet, Financial Analysis, Income Statement, Operating Expense, Profit and Loss (P&L) Management, Forecasting, Financial Modeling, Working Capital, Cash Flow Forecasting, Return On Investment, Risk Analysis, Business Analysis, Growth Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Understanding Basic SQL Syntax

      Skills you'll gain: SQL, Query Languages, Data Access, Relational Databases, Data Manipulation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      297 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Sustainable Food Systems

      Skills you'll gain: Systems Thinking, Food and Beverage, Nutrition and Diet, Economics, Environmental Science, Environment, Sustainability Reporting, Water Resources, Land Management, Environmental Resource Management, Natural Resource Management, Cultural Diversity, Consumer Behaviour

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Image Analysis, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Artificial Intelligence, Scientific Visualization, Time Series Analysis and Forecasting, Predictive Modeling, Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • N

      New York Institute of Finance

      Risk Management

      Skills you'll gain: Credit Risk, Operational Risk, Risk Management, Risk Management Framework, Business Risk Management, Risk Modeling, Risk Mitigation, Financial Market, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Derivatives, Governance, Portfolio Management, Risk Analysis, Capital Markets, Investment Management, Financial Analysis, Market Data, Key Performance Indicators (KPIs)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    Statistics For Data Science learners also search

    Statistics for Data Analysis
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    1…464748…834

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

    • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
    • Programming in Python: Meta
    • Python for Cybersecurity: Infosec
    • An Introduction to Programming the Internet of Things (IOT): University of California, Irvine
    • Write Professional Emails in English: Georgia Institute of Technology
    • Computer Science: Programming with a Purpose: Princeton University
    • Étudier en France: French Intermediate course B1-B2: École Polytechnique
    • Finance for Managers: IESE Business School
    • Understanding Basic SQL Syntax : Coursera Project Network
    • Sustainable Food Systems: University of Illinois Urbana-Champaign

    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.

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