COURSE OBJECTIVES

To introduce participants to the basics of data management, descriptive and inferential Statistical analysis with STATA.

KEY TOPICS

• Understanding Nature of Data; ( Continuous versus Categorical Data (Nominal, Ordinal, Scale, Ratio); and Nature of data as the guidance in selecting statistical models.)
• Data Processing ( Data Template; Data entry; and Variable transformation.)
• Data Visualization and Data Exploration (Checking missing observations; Identifying human errors in data; and Checking Assumptions of Statistical models.)
• Descriptive Analysis and Inferential Statistics (Frequency Tables (one way and two way); Basic Graphics (Histogram, Pie-chart and clustered bar graphs etc.); Analysis of Variance (A NOVA); Ordinary Regression Analysis (Simple and Multiple); Logistic Regression Analysis (Binary, Ordered and Multinomial); and Survival Analysis.)

LEARNING OUTCOMES

By the end of the course participants will be able to:

• Select statistical models for the appropriate data;
• Understand the basics of statistical Analysis using STATA;
• Manage data and manipulate (handling missing observations and correcting human errors resulting from data entry); and
• Apply basic descriptive and inferential statistical analysis in wide range of areas.

TARGET PARTICIPANTS

Academia, Researchers, NGOs, Students, etc.

Offered By : Statistics - College of Social Sciences

OTHER DETAILS

Cost: 400,000

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