Course Outline

Introduction

Stata and Big Data

  • What is Stata?
  • Stata syntax and commands

Preparing the Development Environment

  • Installing and configuring Stata

Databases and Data

  • Opening and clearing databases
  • Compressing databases
  • Importing and exporting databases
  • Viewing, describing, and summarizing raw data
  • Using tabulations and tables
  • Working with distributional analysis
  • Implementing variables for data manipulation
  • Saving data
  • Working with commands

Graphing in Strata

  • Using plots, charts, and graphs
  • Working with distributional analysis in graphing
  • Styling and combining graphs

Statistics and Regression

  • Using bivariate correlation and regression
  • Working with OLS regression, logits, and probits
  • Using interactive effects in regression models

Summary and Conclusion

Requirements

  • A basic understanding of data science

Audience

  • Data Analysts
  14 Hours
 

Testimonials

Related Courses

Business Intelligence in MS SQL Server 2008

  14 hours

55232-A: Writing Analytical Queries for Business Intelligence

  21 hours

Algorithmic Trading with Python and R

  14 hours

Statistical Analysis with Stata and R

  35 hours

Big Data Business Intelligence for Govt. Agencies

  35 hours

Big Data Business Intelligence for Telecom and Communication Service Providers

  35 hours

Qlik Sense for Data Science

  14 hours

Big Data Business Intelligence for Criminal Intelligence Analysis

  35 hours

Datameer for Data Analysts

  14 hours

IRIS: Document Classification and Data Capture

  7 hours

Power BI Dashboards

  14 hours

Pentaho Open Source BI Suite Community Edition (CE)

  28 hours

Qlik: Advanced Topics in Design and Development

  14 hours

QlikView Server Administration

  14 hours

Business Intelligence with SSAS

  14 hours