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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
      B

      Banco Interamericano de Desarrollo

      IDB New Environmental and Social Policy: In a Nutshell

      Skills you'll gain: Pollution Prevention, Environmental Resource Management, Environmental Social And Corporate Governance (ESG), Natural Resource Management, Environmental Policy, Sustainability Reporting, Stakeholder Engagement, Environmental Regulations, Land Management, Labor Law, Community Development, Occupational Safety And Health, Risk Management, Mitigation, Diversity and Inclusion, Cultural Diversity

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Responsible AI: Transparency & Ethics

      Skills you'll gain: Data Ethics, Artificial Intelligence, Compliance Management, Risk Mitigation, Regulatory Compliance, OpenAI, Ethical Standards And Conduct, Predictive Modeling, Business Ethics, Feature Engineering, Machine Learning, Diversity and Inclusion, Prompt Engineering, Exploratory Data Analysis, Auditing, Governance

      Intermediate · Course · 1 - 4 Weeks

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

      Packt

      Exploratory Data Analysis & Core ML Algorithms

      Skills you'll gain: Exploratory Data Analysis, Data Processing, Predictive Modeling, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Regression Analysis, Statistical Modeling, Data Cleansing, Feature Engineering, Supervised Learning, Data Manipulation, Predictive Analytics, Data Visualization

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Master of Science in Computer 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, Failure Analysis, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Unsupervised Learning, Supervised Learning, Goal Setting, Generative AI, Process Capability

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      CertNexus Certified IoT Practitioner (ITP-110)

      Skills you'll gain: Internet Of Things, General Networking, Information Technology, Wireless Networks, Cybersecurity, Systems Integration, System Monitoring, Interoperability, Cloud Services, Emerging Technologies, Network Architecture, Software Development Life Cycle, Safety and Security, Systems Design, Cloud Computing, Automation, Security Management, Prototyping, Project Planning

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Master of Public Health

      Skills you'll gain: Motivational Interviewing, Epidemiology, Health Disparities, Spatial Analysis, Plot (Graphics), Program Evaluation, Sampling (Statistics), Mergers & Acquisitions, Survey Creation, Child Health, Growth Mindedness, Database Design, GIS Software, Variance Analysis, Risk Analysis, Environmental Policy, Spatial Data Analysis, Research Design, Data Collection, Statistical Modeling

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      C

      Coursera

      YouTube Optimization: Grow Your Presence

      Skills you'll gain: Content Performance Analysis, Search Engine Optimization, Web Analytics, Performance Analysis, Marketing Analytics, Web Analytics and SEO, Content Strategy, Marketing Channel, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Revenue Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera

      YouTube Analytics: Optimize Performance

      Skills you'll gain: Benchmarking, Search Engine Optimization, Content Performance Analysis, Marketing Analytics, Key Performance Indicators (KPIs), Performance Analysis, Web Analytics and SEO, Performance Measurement, Content Strategy, Trend Analysis, Customer Insights

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Digital Marketing

      Skills you'll gain: Digital Marketing, Target Audience, Digital Media Strategy, Digital Advertising, Online Advertising, Marketing Analytics, Marketing Effectiveness, Marketing Strategies, Social Media Marketing, Customer Analysis, Web Analytics, Business Metrics, Data-Driven Decision-Making, Google Analytics, Marketing Channel, Email Marketing, Key Performance Indicators (KPIs), Content Marketing, Persona Development

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      Tableau Learning Partner

      Tableau Business Intelligence Analyst

      Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Requirements Elicitation, Ad Hoc Reporting, Data Governance, Data Ethics, Tableau Software, Business Analysis, Data Literacy, Data Visualization Software, Data Warehousing, Business Metrics, Dashboard, Statistical Visualization, Extract, Transform, Load, Data Analysis, Spatial Data Analysis, Data Quality, Data Presentation, Interactive Data Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      966 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM UI/UX Designer

      Skills you'll gain: UI/UX Research, Agile Software Development, User Experience, Wireframing, User Centered Design, Usability, Responsive Web Design, Agile Methodology, Design Thinking, Kanban Principles, User Flows, User Experience Design, UI Components, Figma (Design Software), Agile Project Management, Usability Testing, Prototyping, Interaction Design, User Story, User Interface (UI) Design

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Data Analytics and Deep Learning

      Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Apache Hadoop, Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Data Presentation, Generative AI, Data Infrastructure, Data Cleansing, Real Time Data, Apache Kafka, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML)

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      25 reviews

      Intermediate · Specialization · 3 - 6 Months

    Applied Statistics learners also search

    R Statistics
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    Statistics Projects
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    Statistics for Data Science
    Statistics With R
    1…222324…198

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

    • IDB New Environmental and Social Policy: In a Nutshell : Banco Interamericano de Desarrollo
    • Responsible AI: Transparency & Ethics: Coursera Instructor Network
    • Exploratory Data Analysis & Core ML Algorithms: Packt
    • Master of Science in Computer Science: University of Colorado Boulder
    • CertNexus Certified IoT Practitioner (ITP-110): Packt
    • Master of Public Health: University of Michigan
    • YouTube Optimization: Grow Your Presence: Coursera
    • YouTube Analytics: Optimize Performance: Coursera
    • Introduction to Digital Marketing: IBM
    • Tableau Business Intelligence Analyst: Tableau Learning Partner

    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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