Likert Scale questionnaires in Business Research with Python

A step-by-step approach to Implementing, analyzing and reporting Likert scale questionnaire

What you’ll learn
Overview of problem statement, research objectives, HRM practices’ impact on firm performance, study significance and development of research hypotheses
Research framework, research questions, hypothesis development and Likert scales questionnaire preparation
Data import, missing value treatment, variable recoding, and composite score calculation
Scale reliability testing using Cronbach’s Alpha for all constructs
Descriptive Statistics and demographic profile of respondents with visualizations
Hypothesis Testing on each of the HRM Practice against the Firm Performance using Pearson correlation analysis
Multiple regression analysis testing integrated impact of all HRM practices
ANOVA and T-tests examining how firm performance varies across demographic groups
Comprehensive analysis of all four hypothesis testing outcomes
Summary of significant relationships, effect sizes, and explanatory power
Summary of main findings, theoretical contributions and practical recommendations for HR managers and organizational leaders

Requirements
No programming experience required but basics of Python will be added advantage
Basic knowledge of Social science subject such as Business, Management, etc.

Description
In today’s data-driven business world, the ability to transform complex information into actionable insights is no longer just a “nice-to-have” skill—it’s a career superpower. Whether you’re a manager making strategic decisions, a researcher conducting studies, or a professional seeking to validate business strategies, statistical analysis is your most valuable tool.But here’s the reality most courses don’t tell you: Learning statistics in isolation is frustrating and ineffective. Watching theoretical lectures without applying concepts to real business problems leaves you unprepared for the challenges you’ll face in your career.Why This Course is DifferentThis isn’t just another statistics course. This is a complete research journey where you’ll solve a real business problem from start to finish:We’ll investigate the critical question: “How do HRM practices—Training, Motivation, and Leadership—impact firm performance?”This isn’t a hypothetical exercise. This is the same type of analysis that drives million-dollar business decisions in organizations worldwide.The Problem We Solve TogetherImagine you’ve collected survey data from employees. You have:190 respondents with diverse demographics11 measurement variables across four key constructsMultiple research hypotheses to testStakeholders waiting for data-driven recommendationsHow do you transform this raw data into compelling business insights?That’s exactly what you’ll master in this course. You’ll learn the complete workflow that top consultants and researchers use—not just the statistical tests, but the entire process from data cleaning to executive reporting.What Makes This Approach UniqueProgramming Tool Workflow:We recognize that professionals need flexibility. You’ll master:Python for data science and visualization using Jupyter NotebookFull Python code for downloadComplete dataset for practiceReal Business Context:Every analysis answers a real business question. You’re not just learning statistical tests—you’re learning how to solve business problems with data.From Theory to Implementation:We bridge the gap between statistical concepts and practical application. You’ll understand not just how to run tests, but when and why—and most importantly, how to interpret results for business impact.What You’ll AchieveBy the end of this course, you won’t just understand statistical concepts—you’ll have:· Completed a full research project from data to decisions· Mastered the statistical tools for any analysis situation· Built a professional portfolio piece demonstrating your analytical capabilities· Gained confidence to tackle any business research challenge· Developed a repeatable framework for future data analysis projects

Who this course is for
Business Students learning research methods
HR Professionals wanting data-driven insights
Managers needing to make evidence-based decisions
Researchers conducting organizational studies
Data Analysts expanding their statistical toolkit
Academic Researchers preparing publications
Consultants delivering data-backed recommendations

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