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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: New
      New
      P

      Packt

      Multimodal RAG with GPT – Build Smarter Search & AI Systems

      Skills you'll gain: Development Environment, Generative AI, User Interface (UI), Human Computer Interaction, ChatGPT, Prompt Engineering, Artificial Intelligence, System Design and Implementation, Natural Language Processing, Applied Machine Learning, Computer Vision, Information Architecture, Data Processing, Data Management

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Master of Science in Electrical Engineering

      Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Model Based Systems Engineering, Field-Programmable Gate Array (FPGA), New Product Development, Delegation Skills, Unsupervised Learning, Sampling (Statistics), Failure Analysis, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Goal Setting, Proposal Writing, Generative AI, Process Capability, Diversity Equity and Inclusion Initiatives

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Anomaly Detection, Dimensionality Reduction, Artificial Intelligence, Machine Learning, Regression Analysis, Probability & Statistics, Data Ethics, Image Analysis, Natural Language Processing, Computer Vision, Embedded Systems, Applied Machine Learning, Linear Algebra, Machine Learning Algorithms, Statistical Methods, Predictive Modeling, Bayesian Statistics, Ethical Standards And Conduct

      Credit offered

      Mastertrack · 6 - 12 Months

    • U

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Model Based Systems Engineering, Field-Programmable Gate Array (FPGA), New Product Development, Delegation Skills, Unsupervised Learning, Sampling (Statistics), Failure Analysis, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Goal Setting, Proposal Writing, Generative AI, Process Capability, Diversity Equity and Inclusion Initiatives

      Earn a degree

      Degree · 1 - 4 Years

    • G

      Georgetown University

      Bachelor of Arts in Liberal Studies

      Skills you'll gain: Vulnerability Assessments, Operations Management, Data Storytelling, Business Strategy, Project Scoping, Competitive Intelligence, Survey Creation, Cyber Threat Intelligence, Social Justice, Descriptive Statistics, Environment, Business Ethics, Capital Budgeting, Market Opportunities, Storytelling, Marketing Planning, International Relations, Artificial Intelligence, Policy Development, Political Sciences

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Bases de la Salud Pública

      Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Health Disparities, Biostatistics, Health Policy, Health Systems, Healthcare Ethics, Descriptive Statistics, Statistical Hypothesis Testing, Health Technology, Public Health, Infectious Diseases, Health Care, Scientific Methods, Health Equity, Community Health, Preventative Care, Statistics, Research Design, Research Methodologies

      Credit offered

      Mastertrack · 6 - 12 Months

    • Status: New
      New
      P

      Packt

      NLP – Machine Learning Models in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Predictive Modeling, Applied Machine Learning, Unstructured Data, Statistical Machine Learning, Unsupervised Learning, Dimensionality Reduction, Python Programming, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Supervised Learning, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Bayesian Statistics, Data Pipelines, Ggplot2, Dimensionality Reduction, Linear Algebra, Student Services, Data Processing, Big Data, Agentic systems, Anomaly Detection, A/B Testing, Unstructured Data, Deep Learning, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of London

      Bachelor of Science in Business Administration

      Skills you'll gain: Process Design, Global Marketing, Consumer Behaviour, Statistical Analysis, Organizational Change, Integrated Marketing Communications, Advertising, Innovation, Mergers & Acquisitions, Supply Chain Management, Training and Development, Virtual Teams, Diversity and Inclusion, Databases, Cost Accounting, International Finance, Research, Branding, Economic Development, Cultural Diversity

      Earn a degree

      Degree · 1 - 4 Years

    • O

      O.P. Jindal Global University

      MBA Business Analytics

      Skills you'll gain: Operations Management, Data Storytelling, Design Thinking, Data Visualization, Active Listening, Environmental Social And Corporate Governance (ESG), Working Capital, Database Management, Sampling (Statistics), Project Estimation, Financial Statements, Business Analytics, Global Marketing, Financial Accounting, Predictive Analytics, Big Data, Marketing, Emerging Technologies, People Management, Time Series Analysis and Forecasting

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Illinois at Urbana-Champaign

      Graduate Certificate in Strategic Leadership & Management

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • U

      University of Illinois at Urbana-Champaign

      Master of Science in Accounting

      Skills you'll gain: Data Visualization, Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Extract, Transform, Load, Financial Auditing, Descriptive Statistics, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax

      Earn a degree

      Degree · 1 - 4 Years

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    1…192193194…195

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

    • Multimodal RAG with GPT – Build Smarter Search & AI Systems: Packt
    • Master of Science in Electrical Engineering: University of Colorado Boulder
    • Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®: Universidad de los Andes
    • Master of Science in Data Science: University of Colorado Boulder
    • Bachelor of Arts in Liberal Studies: Georgetown University
    • Certificado en Bases de la Salud Pública: Pontificia Universidad Católica de Chile
    • NLP – Machine Learning Models in Python: Packt
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Bachelor of Science in Business Administration: University of London
    • MBA Business Analytics: O.P. Jindal Global University

    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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