90 Minutes to Better Survey Analysis Using Python
Surveys are one of the primary means of gathering data, and ultimately information, on attitudes, interests, and opinions (AIOs) of customers and constituents—a vital requirement when making private or public sector policy decisions. But all that data you’ve collected goes to waste if you don’t know how to properly analyze it.
Expert Walter R. Paczkowski shows you how to use Python to analyze your survey data and extract actionable, insightful, and useful information. Join in to explore the basics of analyzing survey data from a tabular, visual, and statistical perspective.
What you'll learn-and how you can apply it
By the end of this live online course, you’ll understand: - The importance of survey data - Why you need to dig deeper using more sophisticated analysis methods - How to use Python to do survey data analysis
And you’ll be able to: - Create data visualizations using Python - Create and analyze tables using Python - Create and analyze correspondence maps of the tables using Python
This training course is for you because...
- You’re a market research professional in either the public or private sector responsible for measuring and assessing constituents' attitudes and opinions.
- You work with surveys and survey data.
- You want to become more proficient at analyzing survey data to extract more actionable insight from your data.
- A working knowledge of Python and the Jupyter Notebook
- A basic understanding of statistics (useful but not required)
Recommended follow-up: - Take Business Data Analytics Using Python (live online training course with Walter R. Paczkowski)
About your instructor
Walter R. Paczkowski is a market research consultant at Data Analytics Corp., helping companies in a wide range of industries, such as telecommunications, pharmaceuticals, jewelry, food and beverages, and automotive, to mention a few, turn their market data into actionable information. Walter is also an adjunct faculty member of the Department of Economics at Rutgers University. He brings a wealth of knowledge to share about data analysis, drawing on his over 40 years of extensive quantitative experience as an analyst in AT&T's Analytical Support Center, a member of the technical staff at AT&T Bell Labs, head of pricing research in AT&T's Computer Systems Division, and founder of Data Analytics Corp. He was also an adjunct faculty member of the Department of Mathematics and Statistics at the College of New Jersey. Walter is the author of two analytical books—Market Data Analysis Using JMP (SAS Press, 2016) and Pricing Analytics (Routledge, 2018)—with a third forthcoming on quantitative methods for new product development (Routledge, 2020). He holds a PhD in economics from Texas A&M University.
The timeframes are only estimates and may vary according to how the class is progressing
Introduction to survey analysis (5 minutes) - Presentation: The importance of surveys in modern life; the current state of survey analysis
Understanding the structure of survey data (20 minutes) - Presentation and Jupyter Notebook exercises: Knowing the structure of the data using simple statistics—descriptive statistics and frequency counts; basic data visualization—histograms, boxplots; bar and pie charts; mosaic charts
Digging into survey data (30 minutes) - Presentation and Jupyter Notebook exercises: Tabulations; correspondence analysis—issues with tables and mapping table data
Wrap-up and Q&A (5 minutes)