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Analyzing Survey Data in Python
4.7(53)2k studentsINTERMEDIATEEnglish
Korshub's take
The Korshub Take
This intermediate Python course provides a statistical blueprint for turning raw survey responses into reliable organizational insights. Building on hypothesis testing, it covers representative sampling methods alongside descriptive and inferential modeling techniques.
Who It's For
Data analysts, HR specialists, and market researchers seeking to apply formal statistical rigor to employee and customer survey datasets using Python.
Key Takeaways
- Sampling Methodologies: Apply statistical sampling techniques to ensure survey samples accurately reflect target populations.
- Statistical Testing: Implement two-sample t-tests, linear regression, and chi-square tests to evaluate survey responses.
- Qualitative Interpretation: Translate modeling test outputs into clear, actionable summaries for workplace or marketing decision-makers.
About this course
Learn How to Use Python on Survey Data
Whether it is a company looking to understand its employees’ work preferences or a marketing campaign wanting to know how to best cater to its dominant audience, survey data is one of the best tools used to better understand a population and how to proceed on a matter. Here, you’ll learn the purpose of analyzing survey data and when it is appropriate to apply statistical tools that are descriptive and inferential in nature.
Get Familiar with Key Statistical Survey Analysis Tools
Building on topics covered in Hypothesis Testing in Python, this hands-on course allows you to become familiar with using Python to analyze all sorts of survey data.
You will learn to apply various sampling methods, ensuring that you accurately represent the population in a study and can infer their effects on the conclusion from your analysis.
As you visualize your survey results, you’ll also qualitatively interpret the variables and results associated with modeling tests such as linear regression, the two-sample t-test, and the chi-square test, as it pertains to the type of survey you’re analyzing.
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