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    • Applied Statistics

    Applied Statistics Courses Online

    Understand applied statistics for data analysis and interpretation. Learn statistical methods and tools for various industries.

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    Explore the Applied Statistics Course Catalog

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Design and Implementation of Digital Health Interventions

      Skills you'll gain: Agile Methodology, Health Care Procedure and Regulation, Health Technology, Digital Transformation, User Centered Design, Technology Strategies, Medical Privacy, Health Informatics, Technology Solutions, Data Security, Healthcare Ethics, Interoperability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Shanghai Jiao Tong University

      Learn Mandarin Chinese: Intermediate

      Skills you'll gain: Language Competency, Language Learning, Vocabulary, Oral Comprehension, Culture, Cultural Diversity, Grammar, Intercultural Competence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Statistical Learning

      Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning Algorithms, Applied Machine Learning, Regression Analysis, Probability & Statistics, Advanced Analytics, Machine Learning, Bayesian Statistics, Statistical Inference, Supervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Feature Engineering

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • N

      National Taiwan University

      機器人學一 (Robotics (1))

      Skills you'll gain: Mechanics, Automation Engineering, Mechanical Engineering, Trigonometry, Control Systems, Engineering Calculations, Linear Algebra, Mathematical Modeling, Spatial Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      63 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Compare Stock Returns with Google Sheets

      Skills you'll gain: Risk Analysis, Google Sheets, Financial Analysis, Quantitative Research, Spreadsheet Software, Statistical Analysis, Statistics, Securities (Finance), Probability & Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      665 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Principles of Computing (Part 1)

      Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Debugging, Algorithms, Python Programming, Game Design, Simulations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      584 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      The Influence of Social Determinants on Health

      Skills you'll gain: Health Disparities, Health Equity, Community Health, Public Health, Health Policy, Health Assessment, Social Justice, Economics, Policy, and Social Studies, Epidemiology, Socioeconomics, Health Systems, Health Care, Stress Management, Behavioral Health, Social Sciences, Cultural Diversity, Social and Human Services, Mental and Behavioral Health, Data Collection, Culture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Marketing Science Certification Exam

      Skills you'll gain: Interviewing Skills, Marketing Analytics, Registration, Digital Marketing, Data Analysis, Professional Networking, Statistical Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      212 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Advanced Quantitative Statistics with Excel

      Skills you'll gain: Regression Analysis, Microsoft Excel, Statistical Hypothesis Testing, Business Analytics, Data-Driven Decision-Making, Excel Formulas, Data Visualization, Business Analysis, Data Presentation, Business Intelligence, Statistical Analysis, Statistical Methods, Analytics, Spreadsheet Software, Data Analysis, Data Analysis Software, Correlation Analysis, Probability & Statistics, Variance Analysis, Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Innovating with Google Cloud Artificial Intelligence

      Skills you'll gain: Google Cloud Platform, Tensorflow, Artificial Intelligence, Data Ethics, Cloud API, Data Quality, Machine Learning, Applied Machine Learning, Cloud Computing, Business Solutions, Natural Language Processing, Data Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      85 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Sampling People, Networks and Records

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Software, Probability & Statistics, Probability, Research Methodologies, Network Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      104 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Cybersecurity Awareness and Innovation

      Skills you'll gain: Email Security, Computer Security Awareness Training, Cybersecurity, Security Awareness, Cyber Attacks, Identity and Access Management, Threat Management, Threat Detection, Data Security, User Accounts, Entrepreneurship

      4.6
      Rating, 4.6 out of 5 stars
      ·
      747 reviews

      Beginner · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular applied statistics courses

    • Design and Implementation of Digital Health Interventions : Imperial College London
    • Learn Mandarin Chinese: Intermediate: Shanghai Jiao Tong University
    • Statistical Learning: Illinois Tech
    • 機器人學一 (Robotics (1)): National Taiwan University
    • Compare Stock Returns with Google Sheets: Coursera Project Network
    • Principles of Computing (Part 1): Rice University
    • The Influence of Social Determinants on Health: University of Michigan
    • Meta Marketing Science Certification Exam: Meta
    • Advanced Quantitative Statistics with Excel: Coursera Instructor Network
    • Innovating with Google Cloud Artificial Intelligence: Google Cloud

    Frequently Asked Questions about Applied Statistics

    Applied statistics is the use of statistical techniques to solve real-world data analysis problems. In contrast to the pure study of mathematical statistics, applied statistics is typically used by and for non-mathematicians in fields ranging from social science to business. Indeed, in the big data era, applied statistics has become important for deriving insights and guiding decision-making in virtually every industry.

    The increased reliance on data and statistics to help understand our world has made the careful application of these techniques even more essential; too often, statistics can be used erroneously or even misleadingly when methods of analysis are not properly connected to research questions. Thus, a major aspect of applied statistics is the accurate communication of findings for a non-technical audience, including specifics about data sources, relevance to the problem at hand, and degrees of uncertainty.

    That said, the statistical approaches used in this field are the same as in the study of mathematical statistics. Rigorous use of statistical hypothesis testing, statistical inference, linear regression techniques, and analysis of variance (ANOVA) are core to the work of applied statistics. And, as in other areas of data science, Python programming and R programming are often used to analyze large datasets when Microsoft Excel is not sufficiently powerful.‎

    Demand for data-driven insights is growing fast across all fields, making a background in applied statistics the gateway to a wide variety of careers. Financial institutions and companies of all kinds rely on business analytics to guide investments and operations; political candidates and advocacy groups need to conduct surveys and understand public polling data to understand popular opinion on today’s issues; and even sports teams are increasingly hiring experts in applied statistics to make decisions regarding personnel as well as in-game strategy.

    While many jobs in applied statistics may require only a bachelor’s degree in fields such as mathematics or computer science, high-level roles often expect a master’s degree in statistics. According to the Bureau of Labor Statistics, professional statisticians earn a median annual salary of $91,160 as of May 2019, and these jobs are expected to grow much faster than average due to the need to analyze fast-growing volumes of electronic data.‎

    Yes, with absolute certainty. Coursera offers courses and Specializations in applied statistics for business, social science, and other areas, as well as related topics such as data science and Python programming. These courses are offered by top-ranked universities and leading companies from around the world, including the University of Michigan, the University of Amsterdam, and the University of Virginia, and IBM. Regardless of whether you’re a student looking to learn more about this exciting field or a mid-career professional upgrading their skill set, the combination of a high-quality education and the flexibility of learning online makes Coursera a great choice.‎

    It's very helpful to have strong math skills, analytical skills, and experience solving problems before starting to learn applied statistics. It's also good to have experience and a good comfort level with technology and computers. Previous experience in statistics is also helpful, although not required. You may also benefit from having prior experience using Excel spreadsheets as you begin to learn applied statistics.‎

    People best suited for roles in applied statistics are analytical thinkers. They enjoy problem-solving by taking available data and analyzing it to arrive at solutions. They also have effective communication skills so that information can flow clearly to all stakeholders within an organization. Organization and multitasking come easily to people best suited for roles in applied statistics because these individuals need to deal with large amounts of information and manage their time and resources efficiently. People well suited for these roles also pay close attention to detail to make sure the outcomes they're tasked with delivering meet or exceed expectations.‎

    While the use of applied statistics can be found in almost every industry, learning applied statistics may be especially interesting to you if you're seeking a career in the insurance, web analytics, or energy sectors. These are some of the top industries that currently utilize applied statistics. However, a person in any position in which data is gathered and analyzed to create solutions, innovations, or improvements would benefit from learning applied statistics, from coaches and hospital administrators to bloggers, data scientists, and bankers. If you would like to know how to ensure you're collecting the right data, how to analyze data correctly, and how to effectively report your findings so they can be applied in real-world situations, learning applied statistics may be right for you.‎

    Online Applied Statistics courses offer a convenient and flexible way to enhance your existing knowledge or learn new Applied Statistics skills. With a wide range of Applied Statistics classes, you can conveniently learn at your own pace to advance your Applied Statistics career skills.‎

    When looking to enhance your workforce's skills in Applied Statistics, 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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