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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

    • P

      Packt

      Satellite Remote Sensing Data Bootcamp With Opensource Tools

      Skills you'll gain: Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Applied Machine Learning, Geographic Information Systems, GIS Software, Environmental Monitoring, Unsupervised Learning, Data Analysis Software, Image Analysis, Machine Learning, R Programming, Data Processing, Open Source Technology, Data Transformation, Dimensionality Reduction

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      The Open University

      Sustainable Business Strategy for Future Leaders

      Skills you'll gain: Ideation, Systems Thinking, Creative Thinking, Corporate Sustainability, Stakeholder Engagement, Business Modeling, Environmental Social And Corporate Governance (ESG), Critical Thinking, Innovation, Business Systems Analysis, Sustainability Reporting, Business Valuation, Business Strategies, Value Propositions, Process Mapping, Stakeholder Management, Design Thinking, Business Ethics, Business Architecture, Problem Solving

      Intermediate · Specialization · 3 - 6 Months

    • N

      Northeastern University

      Healthcare Information Design and Visualizations

      Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Data Visualization Software, Data Presentation, Interactive Data Visualization, Infographics, Tableau Software, Dashboard, Data Analysis, Data-Driven Decision-Making, Data Ethics, Trend Analysis, Peer Review

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Interactive Brokers

      Introduction to Momentum Investing

      Skills you'll gain: Market Trend, Technical Analysis, Risk Management, Market Data, Trend Analysis, Investment Management, Investments, Financial Trading, Portfolio Management, Equities

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Capstone Assignment - CDSS 5

      Skills you'll gain: Data Mining, Deep Learning, Health Informatics, Applied Machine Learning, Machine Learning, Artificial Intelligence, Healthcare Ethics, Time Series Analysis and Forecasting

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Alteryx Advanced

      Skills you'll gain: Alteryx, Data Cleansing, Data Manipulation, Advanced Analytics, Data Wrangling, Data Transformation, Predictive Modeling, Data Processing, Machine Learning, Data Pipelines, Feature Engineering, Sampling (Statistics), Data Mining, Data Integration, Workflow Management, Complex Problem Solving

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Filtering and Sorting Data in Looker

      Skills you'll gain: Looker (Software), Dashboard, Data Manipulation, Data Visualization, Data Analysis Expressions (DAX), Exploratory Data Analysis

      Beginner · Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Ein Crashkurs in Datenwissenschaft

      Skills you'll gain: Data Science, Data Management, Organizational Effectiveness, Data-Driven Decision-Making, Data Analysis, Project Design, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Airside Facility Planning

      Skills you'll gain: Capacity Planning, Construction Engineering, Facility Management, Civil Engineering, Architectural Design, Engineering Plans And Specifications, Building Codes, Environmental Regulations, Forecasting, Applied Mathematics

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Quantitative Research Methods: Tools for Data Analysis

      Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Literacy, Data Analysis, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Research Methodologies, R Programming, Data Presentation, Data Collection, Correlation Analysis, Data Ethics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      O Líder na Era do Digital e da Complexidade

      Skills you'll gain: Complex Problem Solving, Business Leadership, Innovation, Leadership, Adaptability, Systems Thinking, Agile Methodology, Digital Transformation, Strategic Thinking, Organizational Change, Trend Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Running Distributed TensorFlow using Vertex AI

      Skills you'll gain: Tensorflow, Google Cloud Platform, Image Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Cloud Computing, Distributed Computing

      Intermediate · Project · Less Than 2 Hours

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

    • Satellite Remote Sensing Data Bootcamp With Opensource Tools: Packt
    • Sustainable Business Strategy for Future Leaders: The Open University
    • Healthcare Information Design and Visualizations: Northeastern University
    • Introduction to Momentum Investing: Interactive Brokers
    • Capstone Assignment - CDSS 5: University of Glasgow
    • Alteryx Advanced: Packt
    • Filtering and Sorting Data in Looker: Google Cloud
    • Ein Crashkurs in Datenwissenschaft: Johns Hopkins University
    • Airside Facility Planning: L&T EduTech
    • Quantitative Research Methods: Tools for Data Analysis: Coursera Instructor Network

    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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