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    Stata Courses Online

    Learn Stata for data analysis and statistical modeling. Understand how to use Stata for data management, visualization, and econometrics.

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    Explore the Stata Course Catalog

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Introduction to Time Series

      Skills you'll gain: Time Series Analysis and Forecasting, R Programming, Statistical Analysis, Statistical Software, Forecasting, Statistical Modeling, Data Analysis, Predictive Analytics, Exploratory Data Analysis, Statistical Visualization, Data Presentation, Probability & Statistics, Statistical Hypothesis Testing

      3.8
      Rating, 3.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tally Education and Distribution Services Private Limited

      Basics of Statutory Compliance and Taxation

      Skills you'll gain: Accounting Software, Accounting and Finance Software, Tax Returns, Data Import/Export, Tax Management, Tax, Tax Compliance, Bookkeeping, Billing & Invoicing, Ledgers (Accounting), Financial Reporting

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Statistics & Mathematics for Data Science & Data Analytics

      Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      The Simplest Guide™ to Clinical Data Analysis with SAS

      Skills you'll gain: Clinical Trials, Clinical Data Management, Clinical Research, SAS (Software), Statistical Reporting, Pharmaceuticals, Data Analysis, Statistical Analysis, Data Transformation, Data Manipulation, Descriptive Statistics

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Statistics and Analysis

      Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Pivot Tables And Charts, Regression Analysis, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Analysis, Statistical Modeling, Excel Formulas, Data Analysis, Data Presentation, Statistics, Business Analysis, Statistical Methods, Sample Size Determination, Statistical Inference

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Linear Regression for Business Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Estimation, Data Analysis, Data Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Quantitative Research Methods: Tools for Data Analysis

      Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Literacy, Data Analysis, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Research Methodologies, R Programming, Data Presentation, Data Collection, Correlation Analysis, Data Ethics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Introduction to Accounting Data Analytics and Visualization

      Skills you'll gain: Tableau Software, Data Visualization Software, Excel Macros, Analytics, Accounting and Finance Software, Specialized Accounting, Analytical Skills, Pivot Tables And Charts, Accounting Systems, Business Analytics, Microsoft Excel, Data Collection, Data-Driven Decision-Making, Data Analysis, Regression Analysis

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      442 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      M

      Macquarie University

      Excel Skills for Statistics and Data Analysis: Essentials

      Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Inference, Descriptive Statistics, Data Analysis, Statistical Methods, Statistical Analysis, Probability & Statistics, Spreadsheet Software, Box Plots, Probability Distribution, Statistical Visualization, Histogram

      Beginner · Course · 1 - 3 Months

    • U

      Università di Napoli Federico II

      Comparative Research Designs and Methods

      Skills you'll gain: Research Methodologies, Science and Research, Qualitative Research, Research Design, Research, Social Sciences, Statistical Analysis, Political Sciences

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data for Analysis with Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Power BI, Data Analysis, Pivot Tables And Charts, Data Transformation, Timelines, Data Cleansing, Data Manipulation, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      36 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Mastering Data Analysis in Excel

      Skills you'll gain: Microsoft Excel, Probability Distribution, Business Risk Management, Predictive Modeling, Regression Analysis, Risk Modeling, Business Analytics, Statistical Methods, Forecasting, Data Analysis, Probability, Financial Modeling, Classification And Regression Tree (CART)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.9K reviews

      Mixed · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular stata courses

    • Introduction to Time Series: Illinois Tech
    • Basics of Statutory Compliance and Taxation: Tally Education and Distribution Services Private Limited
    • Statistics & Mathematics for Data Science & Data Analytics: Packt
    • The Simplest Guide™ to Clinical Data Analysis with SAS: Packt
    • Business Statistics and Analysis: Rice University
    • Linear Regression for Business Statistics: Rice University
    • Quantitative Research Methods: Tools for Data Analysis: Coursera Instructor Network
    • Introduction to Accounting Data Analytics and Visualization: University of Illinois Urbana-Champaign
    • Excel Skills for Statistics and Data Analysis: Essentials: Macquarie University
    • Comparative Research Designs and Methods: Università di Napoli Federico II

    Skills you can learn in Data Analysis

    Analytics (85)
    Big Data (64)
    Python Programming (47)
    Business Analytics (40)
    R Programming (37)
    Statistical Analysis (36)
    Sql (33)
    Data Model (29)
    Data Mining (27)
    Exploratory Data Analysis (26)
    Data Modeling (21)
    Data Manipulation (20)

    Frequently Asked Questions about Stata

    Stata is basic statistical software that's used for data science. It covers data management, statistical analysis, custom programming, simulations, graphics, regression, automated reporting, Python integration, and data manipulation, among others. Stata was first developed in 1985, but it remains useful across many industries today. There's even an annual Stata Conference held in the United States each year, and several Stata User Group meetings take place around the world, particularly in Europe.‎

    Anyone who deals with data on a regular basis can benefit from learning Stata—it's one of the most widely used software in the world, particularly for those who want to analyze data patterns. Professionals in over 180 countries employ it regularly. Many prefer it over similar software because of its ability to turn data into visual graphics. And because it's used in so many fields in so many countries, you may encounter it in your line of work one day, so having a basic understanding of it may help you get ahead in your career quicker. Students may also use Stata as a part of their high school and postsecondary school courses.‎

    Most professionals who use Stata work in research in some capacity. It's most commonly found in the fields of biomedicine, economics, epidemiology, sociology, and political science. It's also commonly used by professors, researchers, and research assistants at colleges and universities. You may also use Stata in the fields of behavioral science, biostatistics, other areas of education, marketing, business, public health, and public policy.‎

    Anyone who can use a computer and software can learn Stata. However, if you have a background in data science or have used other types of statistical software, you may find that you grasp its concepts quicker and easier.‎

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

    When looking to enhance your workforce's skills in Stata, 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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