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    Results for "applied statistics"

    • Status: Free
      Free

      The Hong Kong University of Science and Technology

      Fibonacci Numbers and the Golden Ratio

      Skills you'll gain: Arithmetic, Geometry, Mathematical Theory & Analysis, Advanced Mathematics, Combinatorics, Algebra, Mathematical Modeling, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of Pennsylvania

      Exploring Renewable Energy Schemes

      Skills you'll gain: Electric Power Systems, Electrical Power, Electrical Systems, Energy and Utilities, Electrical Safety, Environmental Regulations, Power Electronics, Electrical Equipment, Hydraulics, Basic Electrical Systems, Thermal Management, Equipment Design, Control Systems, Engineering, Semiconductors, Electronic Components, Physics, Applied Mathematics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      640 reviews

      Beginner · Course · 1 - 3 Months

    • University of Colorado Boulder

      First Order Optical System Design

      Skills you'll gain: Engineering, Scientific, and Technical Instruments, Equipment Design, Engineering Calculations, Electrical Engineering, Computer-Aided Design, Engineering Design Process, Engineering Analysis, Performance Tuning, Simulation and Simulation Software, z/OS, Applied Mathematics, Medical Imaging, Linear Algebra, Physics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      327 reviews

      Advanced · Course · 1 - 3 Months

    • ESSEC Business School

      The Fundamentals of Revenue Management: The Cornerstone of Revenue Strategy

      Skills you'll gain: Revenue Management, Forecasting, Budgeting, Hospitality, Financial Forecasting, Hotel Operations, Strategic Marketing, Target Market, Market Dynamics, Consumer Behaviour, Competitive Analysis, Data-Driven Decision-Making

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • University of Colorado System

      Introduction to Applied Cryptography

      Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Cybersecurity, Public Key Cryptography Standards (PKCS), Key Management, Advanced Encryption Standard (AES), Encryption, Authentications, Arithmetic, Algorithms, Applied Mathematics, Data Integrity, Probability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      985 reviews

      Beginner · Specialization · 3 - 6 Months

    • University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • DeepLearning.AI

      Apply Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Data Ethics, Computer Vision, Deep Learning, Applied Machine Learning, Machine Learning, Unsupervised Learning, Information Privacy, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      544 reviews

      Intermediate · Course · 1 - 4 Weeks

    • California Institute of the Arts

      Character Design for Video Games

      Skills you'll gain: Animation and Game Design, Animations, Game Design, Video Game Development, Design, Technical Design, Conceptual Design, Design Elements And Principles, Creative Design, Storytelling, Creativity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      994 reviews

      Beginner · Course · 1 - 4 Weeks

    • DeepLearning.AI

      AI For Medical Treatment

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Treatment Planning, Data Analysis, Precision Medicine, Applied Machine Learning, Patient Treatment, Machine Learning Methods, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Medical Science and Research, Text Mining, Health Informatics, Large Language Modeling, Medical Terminology, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      523 reviews

      Intermediate · Course · 1 - 4 Weeks

    • New York Institute of Finance

      Operational Risk Management: Frameworks & Strategies

      Skills you'll gain: Operational Risk, Risk Management Framework, Risk Management, Business Risk Management, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Governance, Risk Analysis, Key Performance Indicators (KPIs), Business Process, Regulatory Requirements, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      350 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New

      Microsoft

      Microsoft Data Visualization

      Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Visualization Software, Data Modeling, Data Governance, Extract, Transform, Load, Interactive Data Visualization, Business Intelligence, Data Analysis, Statistical Analysis, Data Architecture, Correlation Analysis, Data Cleansing, Data Transformation, Database Design, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • University of Colorado System

      Healthy Practices: Nutrition, Physical Activity, and Community and Family Participation

      Skills you'll gain: Nutrition Education, Community Health, Nutrition and Diet, Public Health, Public Health and Disease Prevention, Child Health, Working With Children, Student Engagement, Community Outreach, Student Support and Services, Parent Communication, Curriculum Planning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      854 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to applied statistics

    applied statistics for data analytics
    statistics and applied data analysis
    1…394041…195

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

    • Fibonacci Numbers and the Golden Ratio: The Hong Kong University of Science and Technology
    • Exploring Renewable Energy Schemes: University of Pennsylvania
    • First Order Optical System Design: University of Colorado Boulder
    • The Fundamentals of Revenue Management: The Cornerstone of Revenue Strategy: ESSEC Business School
    • Introduction to Applied Cryptography: University of Colorado System
    • Machine Learning: Clustering & Retrieval: University of Washington
    • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
    • Character Design for Video Games: California Institute of the Arts
    • AI For Medical Treatment: DeepLearning.AI
    • Operational Risk Management: Frameworks & Strategies: New York Institute of Finance

    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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