Data Analysis
Master fundamental data analysis techniques using Excel, from descriptive statistics to regression analysis for informed business decisions.
Master fundamental data analysis techniques using Excel, from descriptive statistics to regression analysis for informed business decisions.
This comprehensive course provides a thorough introduction to data analysis for business decision-making. Students learn essential statistical concepts, data visualization techniques, and analytical methods using Microsoft Excel. The curriculum covers descriptive statistics, probability, hypothesis testing, ANOVA, regression analysis, and chi-square tests. Through practical applications and real-world case studies, participants develop skills to uncover patterns, analyze relationships between variables, and make data-driven recommendations.
Instructors:
English
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What you'll learn
Apply data visualization and statistical analysis techniques
Conduct hypothesis testing and interpret results
Perform regression analysis for predictive modeling
Use ANOVA for group comparisons
Master chi-square tests for categorical data
Make data-driven business recommendations
Skills you'll gain
This course includes:
181 Minutes PreRecorded video
14 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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There are 7 modules in this course
This course offers a comprehensive introduction to data analysis through seven detailed modules. Starting with descriptive statistics and probability, students progress through sampling techniques, hypothesis testing, ANOVA, regression analysis, and chi-square tests. The curriculum emphasizes practical application using Microsoft Excel, with real-world case studies demonstrating business applications. The course is designed to develop both technical proficiency and business acumen in data analysis.
Course Orientation
Module 1 · 57 Minutes to complete
Business Statistics: Descriptive Statistics and Probability
Module 2 · 5 Hours to complete
Business Statistics: Probability distributions and Sampling
Module 3 · 2 Hours to complete
Business Statistics: Sampling Distribution, Estimation and Hypothesis Testing
Module 4 · 2 Hours to complete
Analysis of Variance (ANOVA)
Module 5 · 1 Hours to complete
Regression Analysis
Module 6 · 1 Hours to complete
Chi-square distribution and Goodness of Fit
Module 7 · 1 Hours to complete
Fee Structure
Instructor
Professor of Operations, Supply Chain Management, and Quantitative Methods; Chairperson, PGDM Online Program, SPJIMR.
Debmallya Chatterjee is a Professor - Operations Supply Chain Management and Quantitative Methods and Chairperson of the Post Graduate Diploma in Management (PGDM- Online) at SPJIMR.
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Frequently asked questions
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