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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 Michigan

      Green Skills for a Sustainable and Just Future

      Skills you'll gain: Social Justice, Geographic Information Systems, Organizational Change, Environmental Policy, Sustainability Reporting, Environmental Issue, Environmental Regulations, Geospatial Mapping, Culture Transformation, Spatial Data Analysis, Datamaps, Environmental Social And Corporate Governance (ESG), Strategic Leadership, Organizational Strategy, Corporate Sustainability, Spatial Analysis, Organizational Leadership, Systems Thinking, Health Equity, Environmental Laws

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Pontificia Universidad CatĂłlica del PerĂş

      AnalĂ­tica y ciencia de datos para negocios

      Skills you'll gain: Business Analytics, Dimensionality Reduction, Data Processing, Analytics, Data Cleansing, Data Transformation, Anomaly Detection, Business Analysis, Databases, Feature Engineering, R Programming, Data Analysis, Data Quality, Data Science, Exploratory Data Analysis, Statistical Methods, Unsupervised Learning, Supervised Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Pontificia Universidad CatĂłlica de Chile

      Python para Ciencia de Datos

      Skills you'll gain: Descriptive Analytics, Data-Driven Decision-Making, Data Analysis, Data Visualization Software, Predictive Analytics, Business Analytics, Database Management, Data Science, Relational Databases, Data Processing, Trend Analysis, Forecasting, Data Manipulation, Python Programming

      3.8
      Rating, 3.8 out of 5 stars
      ·
      67 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      The Data Driven Manager

      Skills you'll gain: Sampling (Statistics), Data-Driven Decision-Making, Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistical Software, Statistics, Statistical Visualization, Correlation Analysis, Data Visualization, Estimation, Data Collection, Risk Analysis, Statistical Analysis, Box Plots, Probability, Statistical Methods, R Programming, Return On Investment

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      37 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Calculus: Single Variable Part 4 - Applications

      Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Probability & Statistics, Geometry, Probability, Advanced Mathematics, Torque (Physics), Statistics, Mechanics, Mathematical Modeling, Physics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      274 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Methods and Statistics in Social Science - Final Research Project

      Skills you'll gain: Statistical Analysis, Research, Research Reports, Data Analysis, Research Design, Data Collection, Research Methodologies, Surveys, Qualitative Research, Experimentation, Descriptive Statistics, Survey Creation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      63 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Applied Data Analytics with Python and SQL

      Skills you'll gain: Web Scraping, SQL, Pandas (Python Package), Database Management, Databases, Microsoft SQL Servers, Data Manipulation, Data Literacy, Data Analysis, NumPy, Data Visualization Software, Data Processing, Data Cleansing, Programming Principles, Python Programming, Scripting, Scripting Languages

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Community Change in Public Health

      Skills you'll gain: Community Health, Community Development, Public Health, Community Organizing, Public Health and Disease Prevention, Community Outreach, Health Policy, Community and Social Work, Health Systems, Systems Thinking, Political Sciences, Program Evaluation, Cultural Diversity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      171 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Dealing With Missing Data

      Skills you'll gain: Sampling (Statistics), Statistical Programming, Data Cleansing, Data Quality, Data Analysis Software, Statistical Analysis, Statistical Methods, Statistical Modeling, R Programming, Regression Analysis, Statistical Inference

      3.8
      Rating, 3.8 out of 5 stars
      ·
      135 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Deep Learning for Computer Vision

      Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Predictive Modeling, Data Synthesis, Performance Tuning, Classification And Regression Tree (CART), Data Analysis, Data Processing, Medical Imaging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Business intelligence and data analytics: Generate insights

      Skills you'll gain: SAS (Software), Business Analytics, Dashboard, Analytics, Data-Driven Decision-Making, Business Intelligence, Data Analysis, Trend Analysis, Forecasting, Histogram, Correlation Analysis, Ethical Standards And Conduct, Statistics, Predictive Modeling, Innovation, Sustainability Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      450 reviews

      Mixed · Course · 1 - 3 Months

    • T

      The University of Melbourne

      Solving Algorithms for Discrete Optimization

      Skills you'll gain: Operations Research, Advanced Mathematics, Combinatorics, Algorithms, Applied Mathematics, Graph Theory, Mathematical Modeling, Computational Thinking, Performance Tuning, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 4 Weeks

    Applied Statistics learners also search

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    1…808182…199

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

    • Green Skills for a Sustainable and Just Future: University of Michigan
    • AnalĂ­tica y ciencia de datos para negocios: Pontificia Universidad CatĂłlica del PerĂş
    • Python para Ciencia de Datos: Pontificia Universidad CatĂłlica de Chile
    • The Data Driven Manager: University of Colorado Boulder
    • Calculus: Single Variable Part 4 - Applications: University of Pennsylvania
    • Methods and Statistics in Social Science - Final Research Project: University of Amsterdam
    • Applied Data Analytics with Python and SQL: Edureka
    • Community Change in Public Health: Johns Hopkins University
    • Dealing With Missing Data: University of Maryland, College Park
    • Deep Learning for Computer Vision: MathWorks

    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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