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    • Statistical Analysis

    Statistical Analysis Courses Online

    Master statistical analysis for interpreting data. Learn about statistical methods, hypothesis testing, and data-driven decision making.

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    Explore the Statistical Analysis Course Catalog

    • L

      Lund University

      Circular Economy - Sustainable Materials Management

      Skills you'll gain: Environment and Resource Management, Materials Management, Environmental Science, Systems Thinking, Supply Chain Management, Environmental Policy, Product Lifecycle Management, Business Strategies, Industrial Design, Innovation, Stakeholder Engagement, Consumer Behaviour

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python Functions, Files, and Dictionaries

      Skills you'll gain: Data Import/Export, Python Programming, File Management, Programming Principles, Data Processing, Data Structures, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Text Mining in Python

      Skills you'll gain: Text Mining, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Processing, Feature Engineering, Data Manipulation, Data Cleansing, Unsupervised Learning, Supervised Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Georgia Institute of Technology

      Machine Design Part I

      Skills you'll gain: Failure Analysis, Mechanical Design, Mechanical Engineering, Structural Analysis, Engineering Analysis, Engineering Design Process, Engineering Practices, Engineering Calculations, Verification And Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Data Analytics (PT)

      Skills you'll gain: Data Cleansing, Rmarkdown, Data Storytelling, Data Presentation, Data Validation, Spreadsheet Software, Data Visualization, Data Ethics, Data Literacy, Tableau Software, Data Visualization Software, Data Analysis, Ggplot2, Analytical Skills, Stakeholder Communications, Presentations, SQL, Data Quality, Data Collection, Data Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      Duke University

      Renewable Energy and Green Building Entrepreneurship

      Skills you'll gain: Innovation, Entrepreneurship, Team Building, Business Modeling, Environmental Issue, Business Planning, New Business Development, Business Strategy, Corporate Sustainability, Business Development, Entrepreneurial Finance, Action Oriented, Environment and Resource Management, Stakeholder Engagement, Market Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      NoSQL, Big Data, and Spark Foundations

      Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, PySpark, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management, Data Pipelines, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      764 reviews

      Beginner · Specialization · 3 - 6 Months

    • E

      Erasmus University Rotterdam

      Principles of Sustainable Finance

      Skills you'll gain: Environmental Social And Corporate Governance (ESG), Stakeholder Engagement, Corporate Sustainability, Risk Management, Finance, Asset Management, Investment Management, Economics, Policy, and Social Studies, Banking, Business Strategy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Quantitative Methods

      Skills you'll gain: Scientific Methods, Research Design, Sampling (Statistics), Science and Research, Research, Research Methodologies, Surveys, Quantitative Research, Social Sciences, Experimentation, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Writing and Editing: Word Choice and Word Order

      Skills you'll gain: Writing, Storytelling, Editing, Detail Oriented, Communication, Resourcefulness, Decision Making, Creativity, Professionalism

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Virginia

      Managerial Accounting Fundamentals

      Skills you'll gain: Management Accounting, Cost Accounting, Accounting, Cost Benefit Analysis, Cost Management, Financial Accounting, Financial Data, Financial Analysis, Decision Making, Data Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      809 reviews

      Beginner · Course · 1 - 4 Weeks

    • Y

      Yale University

      The Global Financial Crisis

      Skills you'll gain: Crisis Management, Financial Policy, Mortgage Loans, Financial Regulation, Public Policies, Credit Risk, Risk Management Framework, Financial Market, Consumer Lending, International Finance, Banking, Financial Analysis, Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 3 - 6 Months

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    1…495051…564

    In summary, here are 10 of our most popular statistical analysis courses

    • Circular Economy - Sustainable Materials Management: Lund University
    • Python Functions, Files, and Dictionaries: University of Michigan
    • Applied Text Mining in Python: University of Michigan
    • Machine Design Part I: Georgia Institute of Technology
    • Google Data Analytics (PT): Google
    • Renewable Energy and Green Building Entrepreneurship: Duke University
    • NoSQL, Big Data, and Spark Foundations: IBM
    • Principles of Sustainable Finance : Erasmus University Rotterdam
    • Quantitative Methods: University of Amsterdam
    • Writing and Editing: Word Choice and Word Order: University of Michigan

    Skills you can learn in Business Essentials

    Analytics (37)
    Presentation (33)
    Modeling (29)
    Business Analytics (27)
    Language (26)
    Microsoft Excel (26)
    Writing (26)
    Speech (18)
    Plan (17)
    Business Communication (16)
    Decision-making (16)
    Leadership (15)

    Frequently Asked Questions about Statistical Analysis

    Statistical analysis is the process of collecting and organizing data in order to observe patterns in that data. This discipline examines numerical data for trends, and it has practical applications across multiple industries and business sectors. Statistical analysts can examine large or small amounts of data to determine what the data shows—and what should be done with that information. The business world has relied on statistical analysis for years, but the advent of computer technology has made analyzing large amounts of data increasingly easy. Computers allow statisticians to analyze copious amounts of data and look for more specific patterns and trends than ever before.‎

    Statistical analysis is important because it helps you make sense—and make use—of data. No matter what industry you work in, you see data every day. You may not know how to interpret the data, or there may just be too much data to understand on its own merits. Using statistical analysis can help you interpret key patterns in your data and sort out extraneous information to understand what the data means and what you should do about it. If you have a background in statistical analysis, you can also test or disprove any analysis that you receive from someone else as well.‎

    A thorough knowledge of statistical analysis can help you find a career in the financial sector, information technology, or other areas of the business world. You can find jobs giving businesses advice on how to invest or how to manage their money more efficiently, or you can consult with companies on how to budget for large projects. Market research jobs rely on statistical analysis skills, while software engineers analyze data to develop and test new and updated applications. Data scientists work with various organizations to help them identify patterns and trends in their field of business.‎

    From courses that introduce you to the basics of statistical analysis to more specific topics like hypothesis testing, data analysis in the health care industry, or risk management, you can gain a confident base of knowledge from online courses on Coursera. Specific topics you can discover include using logistic regression in R, survival analysis in R, bias and validity in epidemiology, statistics with Python, and data analytics.‎

    Online Statistical Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Statistical Analysis skills. Choose from a wide range of Statistical Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Statistical Analysis, 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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