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Data Management, Inference, statistics for research in Stata

Level:
Beginner
Duration:
6 hours
Award:
Certificate of completion
Price:
K50,000
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What you'll learn

  • Setting up a file system for efficient Stata navigation
  • Setting up Macros and Locals
  • Understand the basics of data cleaning
  • Understand how to import and export data, input data into Stata
  • General use and data management using Stata.
  • Managing output management in Stata
  • Understanding how to generate simple and advanced graphics using Stata
  • Analyzing quantitate data using both descriptive and commonly used inferential analysis techniques

Description

Stata statistical software is an interactive data management and statistical analysis program, which has become very popular among researchers in most disciplines. The programme provides a broad range of statistics. It is very user-friendly and the tremendous potential of Stata to benefit the data management process is extremely amazing and exciting to explore.  It provides everything you need for data analysis, data management, and graphics. The focus of this training is to enable the participant to learn how to apply Stata in statistical analysis.

Requirements

Course Outline

Day 1: Introduction to Statistical Concepts

  • Descriptive Statistics
  • Common inferential statistics
  • The core functions of inferential statistics
  • Overview of Stata

Day 2: Data Entry, Management, and Manipulation using Stata

  • Defining and labeling data and variables
  • Creating, transforming, recoding variables
  • Generating new variables
  • Data Entry, Exploring, modification.
  • Transferring data to/from Stata
  • Merging and Appending Stata data files (e.g. Excel, SPSS )

Day 3: Stata Graphics

  • Basics of Graphing
  • Customizing Graphs
  • Advanced graphing
  • Exporting a Stata graph
  • Statistical Inference
  • Regression analysis
  • Correlation
  • T Test

Output management – Given enough time

  • Output Management
  • Tabulating data with Stata
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Duration:
6 hours
Price:
K50,000