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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 Geneva

      Understanding Financial Markets

      Skills you'll gain: Financial Market, Capital Markets, Portfolio Management, Investments, Market Dynamics, Equities, Financial Policy, Economics, Banking, Asset Management, Risk Management, Financial Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exam Prep DP-100: Microsoft Azure Data Scientist Associate

      Skills you'll gain: Statistical Modeling, MLOps (Machine Learning Operations), Microsoft Azure, Azure Synapse Analytics, Apache Spark, Prompt Engineering, Data Management, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, Cloud Computing, Application Deployment, Data Pipelines, Large Language Modeling, Continuous Monitoring, Data Processing, Generative AI, Data Ethics

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Speed Up Data Analysis and Presentation Building

      Skills you'll gain: Data Visualization, Data Presentation, Data Storytelling, Sampling (Statistics), Prompt Engineering, Presentations, Graphing, Data Ethics, Excel Formulas, Data Analysis, Oral Expression, Artificial Intelligence

      4.9
      Rating, 4.9 out of 5 stars
      ·
      44 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The Hong Kong University of Science and Technology

      Information Systems Auditing, Controls and Assurance

      Skills you'll gain: Audit Planning, Systems Development Life Cycle, Auditing, Compliance Auditing, Information Assurance, Risk Management, IT Management, Security Controls, Internal Controls, System Implementation, Change Management, Risk Analysis, Performance Review, Incident Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Politecnico di Milano

      Le Derivate: come si calcolano

      Skills you'll gain: Calculus, Applied Mathematics, Derivatives, Algebra, Mathematical Theory & Analysis, Geometry, Graphical Tools, Graphing

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      M

      Macquarie University

      Applied Cryptography & Information Security

      Skills you'll gain: Cryptography, Encryption, Network Security, Advanced Encryption Standard (AES), Public Key Infrastructure, Data Security, Key Management, Cybersecurity, Blockchain, Virtual Private Networks (VPN), Information Privacy, Wireless Networks, Authentications, Data Integrity, Emerging Technologies

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Quantitative Aptitude Mastery— Exam & Recruitment Prep

      Skills you'll gain: Arithmetic, Applied Mathematics, Algebra, Systems Of Measurement, Deductive Reasoning, Business Mathematics, Combinatorics

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Politecnico di Milano

      Derivatives: a guide to calculation

      Skills you'll gain: ChatGPT, Calculus, Derivatives, Mathematical Software, AI Personalization, Applied Mathematics, Mathematics Education, Machine Learning Algorithms, Algebra, Geometry, Mathematical Theory & Analysis, Graphing

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      M

      Macquarie University

      AI for Cyber Security

      Skills you'll gain: Anomaly Detection, Cyber Threat Hunting, Intrusion Detection and Prevention, Artificial Intelligence and Machine Learning (AI/ML), Cybersecurity, Network Security, Threat Detection, Applied Machine Learning, Malware Protection, Network Analysis, Machine Learning, Machine Learning Algorithms, Supervised Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Glasgow

      Knowledge-First Social Epistemology

      Skills you'll gain: Media and Communications, Peer Review, Journalism, Research, Cultural Responsiveness, Social Sciences, Investigation, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Advanced ML Algorithms & Unsupervised Learning

      Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Random Forest Algorithm, Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Classification And Regression Tree (CART), Feature Engineering, Supervised Learning, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence, Exploratory Data Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      B

      Board Infinity

      DeepSeek Essentials: From Foundations to Real-World Use

      Skills you'll gain: Open Source Technology, Large Language Modeling, AI Personalization, Prompt Engineering, Generative AI, Artificial Intelligence, Applied Machine Learning, Application Programming Interface (API), Natural Language Processing, Data Security

      Beginner · Course · 1 - 4 Weeks

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

    • Understanding Financial Markets: University of Geneva
    • Exam Prep DP-100: Microsoft Azure Data Scientist Associate: Whizlabs
    • Speed Up Data Analysis and Presentation Building: Google
    • Information Systems Auditing, Controls and Assurance: The Hong Kong University of Science and Technology
    • Le Derivate: come si calcolano: Politecnico di Milano
    • Applied Cryptography & Information Security: Macquarie University
    • Quantitative Aptitude Mastery— Exam & Recruitment Prep: Board Infinity
    • Derivatives: a guide to calculation: Politecnico di Milano
    • AI for Cyber Security: Macquarie University
    • Knowledge-First Social Epistemology: University of Glasgow

    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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