Data Analytics Using Excel, SPSS, and Stata
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Data Analytics Using Excel, SPSS, and Stata

This course provides comprehensive training in data analysis using three major tools: Microsoft Excel, SPSS, and STATA. Participants will learn how to organize, clean, analyze, and interpret data for research, busines...

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Total Price ETB 2,200

Course Overview

This course provides comprehensive training in data analysis using three major tools: Microsoft Excel, SPSS, and STATA. Participants will learn how to organize, clean, analyze, and interpret data for research, business decision-making, and project evaluation. The course emphasizes practical applications, statistical analysis, and interpretation of results for reporting and decision-making.

Key Learning Outcomes

  • Upon successful completion, participants will be able to: • Import and manage data using Excel, SPSS, and STATA • Perform descriptive statistics (mean, median, standard deviation, etc.) • Conduct hypothesis testing (t-test, chi-square, ANOVA) • Perform correlation and regression analysis • Interpret statistical results correctly • Prepare professional data analysis reports

Requirements

Participants must install: • Microsoft Excel (2013 or later) • SPSS (Version 20 or later) • STATA (Version 13 or later)

Course Curriculum

  • Module 1: Introduction to Data Analysis
     Topics 1: Introduction to data analysis  Topic 2: Types of data (qualitative vs quantitative)  Topic 3: Levels of measurement  Topic 4: Role of data analysis in research and business  Topic 5: Overview of Excel, SPSS, and STATA  Topic 6: Practical: Understanding datasets
  • Module 2: Data Analysis Using Excel
     Topics 1: Data entry and formatting  Topic 2: Data cleaning techniques  Topic 3: Sorting and filtering  Topic 4: Using formulas and functions  Topic 5: Descriptive statistics in Excel  Topic 6: Data visualization (charts and graphs)  Topic 7: Pivot tables  Topic 8: Practical: Analyze sample dataset  Topic 9: Create charts and summary reports
  • Module 3: Data Analysis Using SPSS
     Topics 1: Introduction to SPSS interface  Topic 2: Data entry and variable definition  Topic 3: Data cleaning  Topic 4: Descriptive statistics  Topic 5: Frequency distribution  Topic 6: Crosstabs  Topic 7: Hypothesis testing: o t-test o Chi-square test o ANOVA  Topic 8: Practical: Analyze survey dataset
  • Module 4: Data Analysis Using STATA
     Topics 1: Introduction to STATA interface  Topic 2: Data import and management  Topic 3: Descriptive statistics  Topic 4: Regression analysis  Topic 5: Correlation analysis  Topic 6: Hypothesis testing  Topic 7: Practical: Regression analysis exercise
  • Module 5: Data Interpretation and Reporting
     Topics1: Interpretation of results  Topic 2: Writing data analysis reports  Topic 3: Presenting findings  Topic 4: Data visualization best practices  Topic 5: Practical: Final project

Course Facts

Level Professional
Language English, Amharic
Total Duration 12 Hours
Activities 6
Included Value
  • Mobile & TV Access
  • Private Telegram Community
  • Verified Digital Certificate

Student Voices

Sarah
Sarah Jenkins

"The best investment I have made for my career. The flexibility allowed me to study while working full-time, and I secured a promotion two months after receiving my certificate."

David
David Chen

"The expert tutors provided invaluable real-world insights that you simply don't get in standard academic courses. Highly recommended for professionals."