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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

    • G

      Google Cloud

      Encoder-Decoder Architecture - Bahasa Indonesia

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Artificial Neural Networks, Text Mining, Applied Machine Learning, Machine Learning

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Encoder-Decoder Architecture - 한국어

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Generative AI, Deep Learning, Applied Machine Learning, Natural Language Processing, Artificial Neural Networks

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      비즈니스와 사회의 글로벌 트렌드

      Skills you'll gain: Demography, International Finance, International Relations, Political Sciences, Market Trend, Socioeconomics, Trend Analysis, Social Sciences, Cultural Diversity, Economic Development, Sociology, Consumer Behaviour, Financial Systems, Economics, Business, Business Economics, Analysis, Governance

      Mixed · Course · 1 - 4 Weeks

    • P

      Packt

      The Simplest Guide™ to Base SAS & Advanced SAS

      Skills you'll gain: SAS (Software), Data Manipulation, Data Analysis, Statistical Programming, Data Import/Export, Data Visualization Software, SQL, Statistical Analysis, Data Cleansing, Data Transformation, Exploratory Data Analysis, Descriptive Statistics

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Causal Inference Project Ideation

      Skills you'll gain: Experimentation, Research Design, A/B Testing, Business Analysis, Analytical Skills, Complex Problem Solving, Statistical Inference, Business Priorities, Data Ethics, Prioritization, Project Planning

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      Universidades Anáhuac

      Deep Learning: Del Concepto a la Práctica

      Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Image Analysis, Computer Vision, Natural Language Processing, Artificial Intelligence, Python Programming

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Generate Personalized Email Content with BigQuery Continuous Queries and Gemini

      Skills you'll gain: Google Cloud Platform, Gmail, AI Personalization, Identity and Access Management, Test Data, Cloud-Based Integration, Applied Machine Learning, Large Language Modeling, Query Languages, Data Manipulation

      Intermediate · Project · Less Than 2 Hours

    • G

      Google Cloud

      Attention Mechanism - 한국어

      Skills you'll gain: Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Image Generation - 日本語版

      Skills you'll gain: Generative AI, Google Cloud Platform, Image Analysis, Unsupervised Learning, Deep Learning, Applied Machine Learning, Physics

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Image Generation - Bahasa Indonesia

      Skills you'll gain: Generative AI, Applied Machine Learning, Google Cloud Platform, Tensorflow, Image Analysis, Cloud Development, PyTorch (Machine Learning Library), Data Modeling, Computer Graphics, Unsupervised Learning

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Maryland, College Park

      New Map for Product Managers: Superpower Grand Strategies

      Skills you'll gain: Strategic Partnership, Demography, Forecasting, Market Trend, Global Marketing, Market Dynamics, Economics, International Relations, Economic Development, Socioeconomics, Environmental Issue, Financial Systems, Business Strategy, Strategic Decision-Making

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Wetland Conservation Through a Human Lens

      Skills you'll gain: Community Outreach, Cultural Diversity, Policy Analysis, Social Sciences, Cultural Sensitivity, Environment and Resource Management, Environmental Issue, Environmental Policy, Natural Resource Management, Water Resources, Governance, Conflict Management

      Intermediate · Course · 1 - 4 Weeks

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    1…188189190…199

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

    • Encoder-Decoder Architecture - Bahasa Indonesia: Google Cloud
    • Encoder-Decoder Architecture - 한국어: Google Cloud
    • 비즈니스와 사회의 글로벌 트렌드: University of Pennsylvania
    • The Simplest Guide™ to Base SAS & Advanced SAS: Packt
    • Causal Inference Project Ideation: University of Minnesota
    • Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
    • Generate Personalized Email Content with BigQuery Continuous Queries and Gemini: Google Cloud
    • Attention Mechanism - 한국어: Google Cloud
    • Introduction to Image Generation - 日本語版: Google Cloud
    • Introduction to Image Generation - Bahasa Indonesia: 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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