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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
      U

      University of Pennsylvania

      Effective Compliance Programs

      Skills you'll gain: Compliance Training, Compliance Management, Regulatory Compliance, Compliance Reporting, Compliance Auditing, Internal Communications, Procedure Development, Continuous Monitoring, Culture Transformation, Disciplinary Procedures, Industrial and Organizational Psychology, Ethical Standards And Conduct, Psychology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      796 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Regression Analysis, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Statistical Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Pandas (Python Package), Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      736 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Positive Psychology Specialization Project: Design Your Life for Well-being

      Skills you'll gain: Positivity, Research, Research Methodologies, Personal Development, Research Design, Mental Health Diseases and Disorders, Psychology, Resilience, Self-Awareness, Program Evaluation, Creativity, Curiosity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      845 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Semiconductor Devices

      Skills you'll gain: Semiconductors, Electrical Engineering, Electronic Systems, Electronic Components, Power Electronics, Physics, Electronics, Electronics Engineering, Differential Equations, Applied Mathematics

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      601 reviews

      Advanced · Specialization · 1 - 3 Months

    • U

      University of Michigan

      The Finite Element Method for Problems in Physics

      Skills you'll gain: Finite Element Methods, Differential Equations, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Linear Algebra, C++ (Programming Language), Calculus, Open Source Technology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      551 reviews

      Intermediate · Course · 3 - 6 Months

    • U

      Universitat Autònoma de Barcelona

      Pre-Calculus

      Skills you'll gain: Trigonometry, Integral Calculus, Calculus, Arithmetic, Advanced Mathematics, Algebra, Geometry, Applied Mathematics, Graphing, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      568 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Applied Cryptography

      Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Public Key Cryptography Standards (PKCS), Key Management, Advanced Encryption Standard (AES), Cryptographic Protocols, Encryption, Data Integrity, Cybersecurity, Computer Security, Authentications, Data Security, Theoretical Computer Science, Algorithms, Digital Communications

      4.6
      Rating, 4.6 out of 5 stars
      ·
      862 reviews

      Intermediate · Specialization · 3 - 6 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Differential Equations Part I Basic Theory

      Skills you'll gain: Differential Equations, Mathematical Modeling, Applied Mathematics, Calculus, Linear Algebra, Vibrations, Mechanics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Algebra: Elementary to Advanced - Equations & Inequalities

      Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      587 reviews

      Beginner · Course · 1 - 3 Months

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)

      Skills you'll gain: Computer Science, Computer Engineering, Computer Architecture, Computer Programming, System Software, Virtual Machines, Operating Systems, Software Architecture, Algorithms, Software Design, Program Development, Object Oriented Programming (OOP), Data Structures, System Implementation, Computer Graphics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      525 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Classification

      Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Data Cleansing, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Engineering Project Management: Scope, Time and Cost Management

      Skills you'll gain: Project Scoping, Cost Management, Scope Management, Project Estimation, Project Schedules, Earned Value Management, Scheduling, Work Breakdown Structure, Requirements Management, Timelines, Change Management, Budget Management, Project Management, Project Documentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

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    1…323334…197

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

    • Effective Compliance Programs: University of Pennsylvania
    • Supervised Machine Learning: Regression: IBM
    • Positive Psychology Specialization Project: Design Your Life for Well-being: University of Pennsylvania
    • Semiconductor Devices: University of Colorado Boulder
    • The Finite Element Method for Problems in Physics: University of Michigan
    • Pre-Calculus: Universitat Autònoma de Barcelona
    • Applied Cryptography: University of Colorado System
    • Differential Equations Part I Basic Theory: Korea Advanced Institute of Science and Technology(KAIST)
    • Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University
    • Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course): Hebrew University of Jerusalem

    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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