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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 Colorado System

      Symmetric Cryptography

      Skills you'll gain: Data Encryption Standard, Advanced Encryption Standard (AES), Cryptography, Encryption, Key Management, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      270 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Peking University

      Management Communication 管理沟通

      Skills you'll gain: Non-Verbal Communication, Interviewing Skills, Presentations, Meeting Facilitation, Intercultural Competence, Business Communication, Team Management, Negotiation, Cultural Diversity, Cultural Sensitivity, Leadership Studies, Business Management, Communication, Active Listening

      4.5
      Rating, 4.5 out of 5 stars
      ·
      39 reviews

      Mixed · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Geographical Information Systems - Part 1

      Skills you'll gain: Geographic Information Systems, GIS Software, Spatial Data Analysis, Spatial Analysis, NoSQL, Data Modeling, Global Positioning Systems, Databases, SQL, Data Storage, Relational Databases

      3.5
      Rating, 3.5 out of 5 stars
      ·
      95 reviews

      Beginner · Course · 1 - 3 Months

    • Y

      Yonsei University

      The Korean Economic Development

      Skills you'll gain: Crisis Management, Economic Development, Economics, Export Control, International Finance, Financial Policy, Socioeconomics, International Relations, Public Policies, Policty Analysis, Research, and Development, Growth Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      413 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Exam Prep MLS-C01: AWS Certified Specialty Machine Learning

      Skills you'll gain: AWS Kinesis, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Applied Machine Learning, Image Analysis, Reinforcement Learning, Amazon Web Services, Scalability, Forecasting, Feature Engineering, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Analysis, Real Time Data, Predictive Modeling, Data Modeling

      3.9
      Rating, 3.9 out of 5 stars
      ·
      35 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data Collection: Online, Telephone and Face-to-face

      Skills you'll gain: Surveys, Interviewing Skills, Data Collection, Sampling (Statistics), Unstructured Data, Research Methodologies, Data Capture, Qualitative Research, Data Validation, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      346 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Nearest Neighbor Collaborative Filtering

      Skills you'll gain: AI Personalization, Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Data Mining, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      307 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Capstone Project

      Skills you'll gain: Apache Spark, Data Warehousing, Extract, Transform, Load, IBM DB2, IBM Cognos Analytics, Big Data, Databases, PostgreSQL, Data Infrastructure, Data Architecture, Data Pipelines, Applied Machine Learning, MongoDB, MySQL, Data Analysis, Dashboard, Predictive Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      124 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Building Candlestick Charts with Google Sheets

      Skills you'll gain: Technical Analysis, Google Sheets, Market Data, Data Visualization, Trend Analysis, Web Scraping, Data Visualization Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      290 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Tidyverse Skills for Data Science in R

      Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Statistical Visualization, Sampling (Statistics), Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      104 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Asymmetric Cryptography and Key Management

      Skills you'll gain: Public Key Infrastructure, Public Key Cryptography Standards (PKCS), Key Management, Cryptography, Encryption, Authentications, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      274 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Icahn School of Medicine at Mount Sinai

      Network Analysis in Systems Biology

      Skills you'll gain: Bioinformatics, Unsupervised Learning, Network Analysis, Data Analysis, Molecular Biology, Statistical Analysis, Machine Learning Algorithms, Biology, Data Processing, Data Integration, R Programming, Unix Commands

      4.5
      Rating, 4.5 out of 5 stars
      ·
      200 reviews

      Intermediate · Course · 1 - 3 Months

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    1…656667…199

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

    • Symmetric Cryptography: University of Colorado System
    • Management Communication 管理沟通: Peking University
    • Geographical Information Systems - Part 1: École Polytechnique Fédérale de Lausanne
    • The Korean Economic Development: Yonsei University
    • Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs
    • Data Collection: Online, Telephone and Face-to-face: University of Michigan
    • Nearest Neighbor Collaborative Filtering: University of Minnesota
    • Data Engineering Capstone Project: IBM
    • Building Candlestick Charts with Google Sheets: Coursera Project Network
    • Tidyverse Skills for Data Science in R: Johns Hopkins 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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