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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

    • 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

    • S

      SAS

      Analyzing Time Series and Sequential Data

      Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Feature Engineering, Statistical Analysis, Data Analysis, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Bayesian Statistics, Automation, Anomaly Detection, Data Processing, Data Manipulation

      5
      Rating, 5 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • S

      SAS

      Predictive Modeling with Logistic Regression using SAS

      Skills you'll gain: SAS (Software), Predictive Modeling, Statistical Modeling, Big Data, Regression Analysis, Data Analysis Software, Advanced Analytics, Statistical Machine Learning, Feature Engineering, Performance Analysis, Performance Measurement, Statistical Analysis, Data Manipulation, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      62 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Federal Taxation I: Individuals, Employees, and Sole Proprietors

      Skills you'll gain: Income Tax, Tax Returns, Tax Preparation, Payroll Tax, Tax Laws, Payroll, Tax Management, Tax Compliance

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      686 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Importing Data in the Tidyverse

      Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Integration, Data Manipulation, Data Transformation, Relational Databases, Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Data Storage, Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Data Analysis in R: Predictive Analysis with Regression

      Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Exploratory Data Analysis, Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Practical Data Wrangling with Pandas

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Pandas (Python Package), Data Visualization, Descriptive Statistics, Data Manipulation, Data Transformation, Data Analysis, Statistics, Statistical Analysis

      Beginner · Guided Project · Less Than 2 Hours

    • S

      Sapienza University of Rome

      Macroeconomic Financial Accounts Course 2

      Skills you'll gain: Financial Policy, Financial Systems, Microsoft Excel, Financial Data, Governmental Accounting, Financial Accounting, International Finance, Data Analysis, Economics, Fiscal Management, Financial Management, Quantitative Research, International Relations

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Inferential Statistical Analysis with Python

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Jupyter, Python Programming, Matplotlib, NumPy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      918 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      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

    • A

      Association of International Certified Professional Accountants

      Introduction to Data Analytics for Accounting Professionals

      Skills you'll gain: Data Literacy, Data-Driven Decision-Making, Financial Data, Business Analytics, Data Strategy, Analytical Skills, Project Design, Data Analysis, Business Intelligence, Project Implementation, Project Scoping, Unstructured Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      83 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Exploratory Data Analysis for the Public Sector with ggplot

      Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Data Presentation, Ggplot2, Statistical Visualization, R Programming, Data Visualization Software, Data Analysis, Scatter Plots, Graphic and Visual Design, Histogram, Tidyverse (R Package), Public Administration, Trend Analysis, Policy Analysis

      5
      Rating, 5 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    Stata learners also search

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    1…6789

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

    • Linear Regression for Business Statistics: Rice University
    • Analyzing Time Series and Sequential Data: SAS
    • Predictive Modeling with Logistic Regression using SAS : SAS
    • Federal Taxation I: Individuals, Employees, and Sole Proprietors: University of Illinois Urbana-Champaign
    • Importing Data in the Tidyverse: Johns Hopkins University
    • Data Analysis in R: Predictive Analysis with Regression: Coursera Project Network
    • Practical Data Wrangling with Pandas: Coursera Project Network
    • Macroeconomic Financial Accounts Course 2: Sapienza University of Rome
    • Inferential Statistical Analysis with Python: University of Michigan
    • Quantitative Research Methods: Tools for Data Analysis: Coursera Instructor Network

    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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