FA-0427Data & Analytics

Stata from the ground up

For Analysis and Decision Making - 3 days

Introduction

Why this course

Welcome to our comprehensive three-day training on "Data Analysis and Decision Making using Stata." In today’s data-driven world, the ability to analyze large sets of data and make informed decisions is crucial across many sectors. Whether in public health, economics, education, or marketing, the insights drawn from data analysis are pivotal for strategic planning and policy-making.

This course is designed to equip participants with the essential skills needed to handle data effectively using Stata, one of the leading statistical software packages. By the end of this training, participants will be equipped to undertake their own data analysis projects and contribute to data-driven decision-making processes within their organizations.

Learning outcomes

By the end of this training, participants will be able to:

Understand the fundamental principles of data analysis and its implications in decision-making.
Navigate and utilize Stata software proficiently.
Perform basic to intermediate data manipulation tasks.
Conduct descriptive and inferential statistical analyses.
Interpret statistical outputs and translate data into strategic insights.
Prepare and present data analysis reports effectively.

Prerequisites

Participants are expected to:

Have a basic understanding of statistics (e.g., mean, median, mode, variance).
Possess fundamental computer skills, including managing files and folders.
Be familiar with Microsoft Excel or any other spreadsheet software.

Training outline

8 modules

01Introduction to Stata3 topics

Overview of Stata interface and features
Installation and setup
Basic commands and syntax

02Data Management4 topics

Importing data from various sources (CSV, Excel, databases)
Exploring dataset structures
Variables: creation, modification, and labeling
Data cleaning techniques
1. Handling missing values
2. Filtering and sorting data
3. Data type conversions

03Descriptive Statistics3 topics

Summarizing and tabulating data
Measures of central tendency and dispersion
Graphical representations of data
1. Histograms
2. Box plots
3. Scatter plots

04Statistical Analysis3 topics

Hypothesis testing fundamentals
1. t-tests
2. Chi-square tests
Correlation and regression analysis
1. Simple linear regression
2. Multiple regression analysis
ANOVA (Analysis of Variance)

05Advanced Data Management3 topics

Merging and appending data files
Panel data and time-series operations
Creating and using do-files for reproducible analysis

06Reporting and Visualization3 topics

Customizing graphs and charts
Exporting results to external files (Excel, PDF)
Dynamic documents and presentation of results

07Practical Applications3 topics

Case studies from various domains
Group assignments to apply learned skills on real data sets
Discussion and analysis of results

08Review and Closing3 topics

Recap of key concepts and techniques
Q&A session
Guidance on further learning resources and community engagement

This outline ensures a gradual buildup of skills, from fundamental concepts to more complex analyses, preparing participants to effectively contribute to data-driven projects and decision making.

A programme built around your team.

Share your training goals and requirements.