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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 Colorado Boulder

      Vital Skills for Data Science

      Skills you'll gain: Data Ethics, Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), Data Security, Data Presentation, User Centered Design, Statistical Visualization, Cybersecurity, Technical Communication, Usability, Healthcare Ethics, Cyber Attacks, Statistical Reporting, Human Computer Interaction, Authentications, Data Storytelling, Data Science, Ethical Standards And Conduct, User Research

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      111 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Algebra: Elementary to Advanced - Functions & Applications

      Skills you'll gain: Mathematical Modeling, Graphing, Algebra, Mathematical Theory & Analysis, Applied Mathematics, Arithmetic

      4.8
      Rating, 4.8 out of 5 stars
      ·
      185 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Introducción a los modelos de demanda de transporte

      Skills you'll gain: Data Collection, Transportation Operations, Surveys, Quantitative Research, Mathematical Modeling, Predictive Modeling, Statistical Methods, Regression Analysis, Spatial Analysis, Probability Distribution, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      459 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidade Estadual de Campinas

      Processamento Digital de Sinais - Amostragem

      Skills you'll gain: Digital Communications, Simulations, Electrical and Computer Engineering, Telecommunications, Mathematical Modeling, Electronics Engineering, Systems Of Measurement, Technical Analysis, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      209 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Machine Learning for Data Scientists

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines, Data Transformation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      169 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Hearing Loss in Children

      Skills you'll gain: Pediatrics, Speech Therapy, Patient Evaluation, Child Health, Disabilities, Childhood Education and Development, Working With Children, Public Health, Child Development, Health Assessment, Patient Treatment, Special Education, Surgery, General Medical Tests and Procedures, Anatomy

      4.9
      Rating, 4.9 out of 5 stars
      ·
      235 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Project Management

      Skills you'll gain: Backlogs, Quality Management, Project Closure, Project Planning, Scope Management, Team Management, Project Scoping, Agile Project Management, Budget Management, Project Risk Management, Milestones (Project Management), Team Leadership, Communication Planning, Agile Software Development, Product Roadmaps, Sprint Retrospectives, Resource Management, Project Management Life Cycle, Change Management, Project Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      358 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Cryptography and Information Theory

      Skills you'll gain: Cryptography, Cryptographic Protocols, Encryption, Key Management, Cybersecurity, Computer Security, Theoretical Computer Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      518 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      The Engineering of Structures Around Us

      Skills you'll gain: Structural Analysis, Structural Engineering, Building Design, Civil Engineering, Vibrations, Architectural Engineering, Mechanical Engineering, Construction, SketchUp (3D Modeling Software), Mechanics, Engineering Analysis, Engineering Calculations, Mathematical Modeling, Prototyping, Engineering Design Process, 3D Modeling, Simulation and Simulation Software, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Minnesota

      Matrix Methods

      Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Applied Machine Learning, Data Manipulation, Exploratory Data Analysis, Algorithms, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      243 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Precalculus: Relations and Functions

      Skills you'll gain: Graphing, Data Analysis, R Programming, General Mathematics, Mathematical Modeling, Algebra, Applied Mathematics, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      214 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Global Disease Masterclass

      Skills you'll gain: Infectious Diseases, Epidemiology, Public Health and Disease Prevention, Public Health, Health Disparities, Cardiology, Chronic Diseases, Microbiology, Community Health, Health Systems, Health Policy, Socioeconomics, Preventative Care, Health Care, Health Assessment, Biostatistics, Data Analysis, Policy Analysis, Trend Analysis, Medical Science and Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      316 reviews

      Beginner · Specialization · 1 - 3 Months

    Applied Statistics learners also search

    R Statistics
    Beginner Statistics
    Statistics Projects
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    Statistics
    Basic Statistics
    Statistics for Data Science
    Statistics With R
    1…565758…198

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

    • Vital Skills for Data Science: University of Colorado Boulder
    • Algebra: Elementary to Advanced - Functions & Applications: Johns Hopkins University
    • Introducción a los modelos de demanda de transporte: Pontificia Universidad Católica de Chile
    • Processamento Digital de Sinais - Amostragem: Universidade Estadual de Campinas
    • Microsoft Azure Machine Learning for Data Scientists: Microsoft
    • Hearing Loss in Children: University of Michigan
    • Google Project Management: Google
    • Cryptography and Information Theory: University of Colorado System
    • The Engineering of Structures Around Us: Dartmouth College
    • Matrix Methods: University of Minnesota

    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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