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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
      Status: Free Trial
      Free Trial
      E

      Edureka

      Practical Deep Learning with Python

      Skills you'll gain: Deep Learning, Applied Machine Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Natural Language Processing, Supervised Learning, Network Architecture, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Online Advertising & Social Media

      Skills you'll gain: Online Advertising, Data Presentation, Data Visualization, Digital Advertising, Advertising, Analytics, Big Data, Social Media Strategy, Social Media, Data Ethics, Marketing, Social Media Marketing, Data-Driven Decision-Making, Return On Investment, Trend Analysis, Customer Engagement, Information Privacy

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      R أساسيات لغة البرمجة

      Skills you'll gain: Exploratory Data Analysis, R Programming, Data Manipulation, Statistical Programming, Data Literacy, Data Analysis, File Management, Integrated Development Environments, Programming Principles, Data Structures

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      A

      Aptly

      Google Search Advertising Implementation

      Skills you'll gain: Google Ads, Advertising Campaigns, Search Engine Marketing, Pay Per Click Advertising, Performance Analysis, Bidding, Campaign Management, Digital Advertising, Web Analytics, Key Performance Indicators (KPIs), Target Audience, Budget Management

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Securing the IoT Landscape: From Inception to Architecture

      Skills you'll gain: Threat Modeling, Cloud Security, Internet Of Things, Infrastructure Security, Vulnerability Management, Information Systems Security, Incident Response, Identity and Access Management, Penetration Testing, Network Security, Cloud Computing, Cloud Computing Architecture, Threat Detection, Authentications, Authorization (Computing)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      Universidad de Palermo

      Matemática para Negocios 

      Skills you'll gain: Business Mathematics, Profit and Loss (P&L) Management, Applied Mathematics, Income Statement, Graphing, Financial Analysis, Business Metrics, Business Analysis, Financial Statements, Business Modeling, Arithmetic, Algebra

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced CNNs, Transfer Learning, and Recurrent Networks

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Image Analysis, Applied Machine Learning, Tensorflow, Computer Vision, Natural Language Processing, Medical Imaging, Performance Tuning

      Advanced · Course · 1 - 3 Months

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

      University of Colorado Boulder

      Data Visualization & Analytics in Tableau

      Skills you'll gain: Dashboard, Data Visualization Software, Tableau Software, Data Visualization, Interactive Data Visualization, Data Storytelling, Data Analysis, Statistical Visualization, Geospatial Mapping, Histogram, Advanced Analytics, Spatial Analysis, Scatter Plots, Data Manipulation, Data Presentation, Data Import/Export, Forecasting

      Beginner · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Troubleshooting and Solving Data Join Pitfalls

      Skills you'll gain: Big Data, Data Cleansing, Exploratory Data Analysis, Data Integration, Data Manipulation

      Beginner · Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Crea un perfil de negocios en Twitter

      Skills you'll gain: Trend Analysis, Social Media, Social Media Strategy, Social Media Marketing, Market Trend, Account Management, User Accounts

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      B

      Board Infinity

      Mastering DeepSeek: From Architecture to Application

      Skills you'll gain: Deep Learning, Generative AI Agents, Generative AI, Business Process Automation, Large Language Modeling, Application Deployment, Prompt Engineering, Software Development Tools, Software Architecture, Automation, Development Environment, Application Programming Interface (API), Artificial Intelligence, Integration Testing, Systems Architecture, Applied Machine Learning, Unstructured Data, Open Source Technology, Reinforcement Learning, Scalability

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Basics of Chatbots with Machine Learning & Python

      Skills you'll gain: Natural Language Processing, Python Programming, Text Mining, Artificial Intelligence, Machine Learning, Applied Machine Learning, Data Collection, Data Processing

      Intermediate · Course · 1 - 4 Weeks

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    1…169170171…199

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

    • Practical Deep Learning with Python: Edureka
    • Online Advertising & Social Media: University of Maryland, College Park
    • R أساسيات لغة البرمجة: Coursera Project Network
    • Google Search Advertising Implementation: Aptly
    • Securing the IoT Landscape: From Inception to Architecture: LearnQuest
    • Matemática para Negocios : Universidad de Palermo
    • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
    • Data Visualization & Analytics in Tableau: University of Colorado Boulder
    • Troubleshooting and Solving Data Join Pitfalls: Google Cloud
    • Crea un perfil de negocios en Twitter: Coursera Project Network

    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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