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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

    • Placeholder
      Status: Free
      Free
      U

      University of Leeds

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, R Programming, Box Plots, Data Visualization Software, Histogram, Statistical Analysis, Probability, Probability Distribution, Simulations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Data Science, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Introduction to Financial Analysis - The "Why?"

      Skills you'll gain: Financial Analysis, Finance, Accounting, Financial Accounting, Business Valuation, Financial Statements, Financial Management, Balance Sheet, Corporate Finance, Return On Investment, Income Statement, Entrepreneurial Finance, Risk Analysis, Cash Flows, Equities, Investment Management, Loans, Governance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      275 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Financial Analysis of Organizations

      Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Forecasting, Financial Accounting, Income Statement, Balance Sheet, Financial Analysis, Forecasting, Profit and Loss (P&L) Management, Financial Data, Cash Flows, Equities, Business Valuation, Capital Expenditure

      4.6
      Rating, 4.6 out of 5 stars
      ·
      113 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      SQL for Data Science

      Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Descriptive Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Intuit

      Financial Statement Analysis

      Skills you'll gain:

      4.6
      Rating, 4.6 out of 5 stars
      ·
      639 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      R

      Rice University

      Introduction to Data Analysis Using Excel

      Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Manipulation, Data Access, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10K reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: ChatGPT, Generative AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, IBM Cloud, Private Cloud, Data Loss Prevention, Deep Learning, WordPress, Artificial Neural Networks, Cloud Services, Application Deployment, Governance, Machine Learning, Business Transformation, Ethical Standards And Conduct, Software Development Tools, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      M

      Macquarie University

      Excel Fundamentals for Data Analysis

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4K reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      M

      Macquarie University

      Excel Skills for Data Analytics and Visualization

      Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Data Presentation, Power BI, Excel Formulas, Data Analysis Expressions (DAX), Data Visualization Software, Data Visualization, Interactive Data Visualization, Microsoft Excel, Spreadsheet Software, Dashboard, Data Modeling, Data Cleansing, Data Manipulation, Excel Macros, Infographics, Data Transformation, Data Validation, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of Pennsylvania

      Data Analysis Using Python

      Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Quality, Jupyter, Data Import/Export, Histogram, Python Programming, Programming Principles

      4.5
      Rating, 4.5 out of 5 stars
      ·
      416 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      S

      S.P. Jain Institute of Management and Research

      Data Analysis

      Skills you'll gain: Data Analysis, Quantitative Research, Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Business Analytics, Regression Analysis, Data-Driven Decision-Making, Statistical Analysis, Probability Distribution, Microsoft Excel, Statistical Inference, Probability, Variance Analysis, Estimation

      Build toward a degree

      Beginner · Course · 1 - 3 Months

    Statistical Analysis learners also search

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    1…91011…547

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

    • Exploratory Data Analysis: University of Leeds
    • Introduction to Probability and Data with R: Duke University
    • Introduction to Financial Analysis - The "Why?": University of Illinois Urbana-Champaign
    • Financial Analysis of Organizations: University of Illinois Urbana-Champaign
    • SQL for Data Science: University of California, Davis
    • Financial Statement Analysis: Intuit
    • Introduction to Data Analysis Using Excel: Rice University
    • AI Foundations for Everyone: IBM
    • Excel Fundamentals for Data Analysis: Macquarie University
    • Excel Skills for Data Analytics and Visualization: Macquarie University

    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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