Data Analysis Using Excel, SPSS, and Stata
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Data Analysis 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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4 enrolled
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

  • 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:

  1. Microsoft Excel (2013 or later)
  2. SPSS (Version 20 or later)
  3. STATA (Version 13 or later)

Course Curriculum

  • 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
  • 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.
  • 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.
  • 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.
  • Topics 1: 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 30 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."