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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
      G

      Google Cloud

      Innovating with Google Cloud Artificial Intelligence - Português Brasileiro

      Skills you'll gain: Google Cloud Platform, Data Ethics, Artificial Intelligence, Data Quality, Cloud Solutions, Analytics, Applied Machine Learning, Business Intelligence, Business Transformation, Machine Learning, Natural Language Processing, Image Analysis

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Alberta

      캡스톤 : 소프트웨어 제품 관리 실전 프로젝트

      Skills you'll gain: Sprint Planning, Agile Software Development, Product Demonstration, Agile Methodology, Requirements Analysis, Agile Project Management, Risk Management, Virtual Environment, Product Requirements, Product Management, Customer Communications Management, Presentations, User Story, Team Management

      Mixed · Course · 1 - 3 Months

    • U

      University of Washington

      머신 러닝: 회귀 모델

      Skills you'll gain: Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Feature Engineering, Linear Algebra, NumPy, Algorithms

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Visualization and Modeling in Python

      Skills you'll gain: Matplotlib, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Visualization (Computer Graphics), Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Probability & Statistics, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Search Engine Optimization and Content Marketing

      Skills you'll gain: Keyword Research, Web Analytics and SEO, Search Engine Optimization, Content Marketing, Web Analytics, Google Analytics, Search Engine Marketing, Content Creation, MarTech, Marketing Strategy and Techniques, Content Development and Management, Digital Marketing, Growth Strategies, Content Strategy

      Beginner · Course · 1 - 3 Months

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

      Packt

      Fundamentals of Oracle Database Performance Tuning

      Skills you'll gain: Oracle Databases, Performance Tuning, Operational Databases, SQL, Database Management, Database Architecture and Administration, System Monitoring

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Introduction to RNN and DNN

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Network Architecture

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      النماذج المتعاقبة

      Skills you'll gain: Deep Learning, Natural Language Processing, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence, Machine Learning, Time Series Analysis and Forecasting, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Creating Tile-based Dashboard Alerts in Looker

      Skills you'll gain: Looker (Software), Dashboard, Interactive Data Visualization, Data Visualization, Exploratory Data Analysis

      Beginner · Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات

      Skills you'll gain: Deep Learning, Tensorflow, Test Data, Data Processing, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Network Performance Management, Analysis, Machine Learning, Algorithms

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Modèles de séquence

      Skills you'll gain: Natural Language Processing, Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Exploration et production de données pour les entreprises

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

      Beginner · Course · 1 - 3 Months

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

    • Innovating with Google Cloud Artificial Intelligence - Português Brasileiro: Google Cloud
    • 캡스톤 : 소프트웨어 제품 관리 실전 프로젝트: University of Alberta
    • 머신 러닝: 회귀 모델: University of Washington
    • Data Visualization and Modeling in Python: Duke University
    • Search Engine Optimization and Content Marketing: IBM
    • Fundamentals of Oracle Database Performance Tuning: Packt
    • Introduction to RNN and DNN: Packt
    • النماذج المتعاقبة: DeepLearning.AI
    • Creating Tile-based Dashboard Alerts in Looker: Google Cloud
    • تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات : DeepLearning.AI

    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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