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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

      Machine Learning Operations (MLOps): Getting Started - 한국어

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Application Lifecycle Management, DevOps, Continuous Deployment, CI/CD, Automation, Applied Machine Learning, Machine Learning Algorithms, Data Management

      Intermediate · Course · 1 - 4 Weeks

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

      University of Minnesota

      Exploratory Analytics Project Ideation

      Skills you'll gain: Exploratory Data Analysis, Project Design, Data Mining, Ideation, Data Analysis, Business Analytics, Analytics, Business Analysis, Unsupervised Learning, Anomaly Detection, Process Mapping, Tree Maps

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Configuring MongoDB Atlas with BigQuery Dataflow Templates

      Skills you'll gain: MongoDB, Dataflow, Applied Machine Learning, Google Cloud Platform, Data Pipelines, Big Data, Data Integration

      Intermediate · Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Untersuchen und Erstellen von Daten für Unternehmen

      Skills you'll gain: Descriptive Statistics, Statistical Inference, Sampling (Statistics), Histogram, Data Analysis, Probability & Statistics, Data Presentation, Statistical Analysis, Quantitative Research, Microsoft Excel, Statistical Methods, Probability Distribution, Graphing

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Product Reviews Text-based Search - OpenAI Text Embedding

      Skills you'll gain: Dimensionality Reduction, OpenAI, Application Development, Exploratory Data Analysis, Application Programming Interface (API), Scatter Plots, Text Mining, Python Programming, Natural Language Processing, Data Manipulation

      Intermediate · Guided Project · Less Than 2 Hours

    • I

      Illinois Tech

      Cloud Computing Security - Bachelor's

      Skills you'll gain: Cloud Security, AWS Identity and Access Management (IAM), Identity and Access Management, Incident Response, Cloud Computing, Network Security, Data Security, Cloud Computing Architecture, Application Security, Encryption, Firewall, Security Controls, Infrastructure Security, Continuous Monitoring, Amazon CloudWatch, Amazon S3

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    • N

      Northwestern University

      현대 로봇공학, 강좌 2: 로봇 기구학

      Skills you'll gain: Mechanics, Torque (Physics), Mathematical Modeling, Engineering Analysis, Engineering Calculations, Mechanical Engineering, Numerical Analysis, Applied Mathematics, Trigonometry, Control Systems, Linear Algebra, Spatial Analysis

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Automate R scripts with GitHub Actions: Deploy a model

      Skills you'll gain: R Programming, Google Sheets, Applied Machine Learning, Health Informatics, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail, Command-Line Interface, Version Control

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      I

      Illinois Tech

      Systems Integration - Bachelor's

      Skills you'll gain: DevSecOps, DevOps, User Centered Design, Usability, Systems Integration, User Experience Design, Continuous Delivery, Systems Analysis, System Implementation, Human Computer Interaction, Continuous Integration, Application Security, Agile Methodology, Information Systems, Software Development, CI/CD, Secure Coding, Security Testing, User Feedback, Continuous Improvement Process

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

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

      L&T EduTech

      Design and Construction of Hydropower Structures

      Skills you'll gain: Construction, Mechanical Engineering, Hydraulics, Construction Engineering, Civil Engineering, Structural Engineering, Water Resources, Construction Management, Environmental Engineering, Energy and Utilities, Safety Training, Engineering Practices, Electrical Power, Mechanical Design, Engineering Management, Engineering Analysis, Geospatial Information and Technology

      Advanced · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Introduction to AI and Machine Learning on GC - 简体中文

      Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Intelligence, Cloud Infrastructure, Machine Learning, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Deep Learning: Convolutional Neural Networks with TensorFlow

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Text Mining, Data Processing, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

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

    • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
    • Exploratory Analytics Project Ideation: University of Minnesota
    • Configuring MongoDB Atlas with BigQuery Dataflow Templates: Google Cloud
    • Untersuchen und Erstellen von Daten für Unternehmen: University of Illinois Urbana-Champaign
    • Product Reviews Text-based Search - OpenAI Text Embedding: Coursera Project Network
    • Cloud Computing Security - Bachelor's: Illinois Tech
    • 현대 로봇공학, 강좌 2: 로봇 기구학: Northwestern University
    • Automate R scripts with GitHub Actions: Deploy a model: Coursera Project Network
    • Systems Integration - Bachelor's: Illinois Tech
    • Design and Construction of Hydropower Structures: L&T EduTech

    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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