Stata is a GUI and syntax based statistical analysis package with capabilities of Data management, Statistical analysis, Graphics, Simulations and Custom programming. Stata is easy to use and you can start experiencing its productivity instantly. Using Stata you can improve your business insight, reign over complex datasets, take rationale decision and ensure your business growth.
This course is designed for the business analysts, managers and other professionals who need to manage and take decision based on large amount business data. At the end of course day, you will be capable of –
Managing large amount of data using Stata;
Conduct descriptive and complex analysis on you data for taking business decisions;
Create smart graphical presentation on system generated huge data file;
Reporting and sharing your data analysis findings and decisions with your peers and top level managers.
Workshop topics to be covered:
Session 1: Understanding the Scope of Stata and Statistics in Business Analysis
Know when you need to use statistics as a business analyst
Know what Stata can do for you
Choose and Install the right Version of Stata
A guided tour to Stata 10.0
Session 2: Investigating and Describing your Business Data Using Stata 10.0
Investigate the size, nature and error in system generated data files;
Managing your data by labelling, sorting, combining and creating new variables;
Understanding summary statistics and summarizing your business data;
Creating dynamic tables to overview relationships and influences on data.
Session 3: Conducting Advanced Analysis on your Business Data
Simple hypothesis testing while making quality claims;
Understanding scope of variable relationships in decision making and using Simple Linear Regression Analysis;
Taking more complex decision using Multiple Regression Analysis;
Understanding time series and developing models to forecast time series data (e.g., stock price, fuel price etc)
Session 4: Creating Smart Charts and Presenting your Data Analysis Outputs
Creating simple and complex charts using Stata;
Exporting graphs and outputs to Microsoft Word and converting to Portable Document Files;
Using Microsoft PowerPoint to present your analysis findings;
Printing and sharing your works.