Learn how to perform a conjoint assessment using Python and how to interpret the results.
- [Instructor] One of the most challenging aspects…of running an analysis like the one we're discussing…is the design of the survey at the outset.…Now, like we saw in the last video,…our different combination of attributes and levels…created the potential for 486 possible combinations.…I don't know too many customers who would rank…that many possibilities, let alone even as many as, say, 40.…Now, let's go ahead and load in our packages.…So first cell, Shift Enter, and I'm using…our exercise files for our case study data,…so let's go ahead and connect to our data set.…
And let's do a quick snapshot of what we're…working with here, so we'll just type in the variable…that we just assigned to our data frame,…myConjointData, and I'll run that.…And we can see what we're working with here.…Now this may seem like a small data set, but in all reality,…there are over 400 consumer responses here,…because I aggregated those response rates…during my ETL process to prepare the data.…Our rank column shows how each of our 11 combinations,…
In this course, discover how to gain valuable insights from large data sets using specific languages and tools. Follow Chris DallaVilla as he walks through how to use R, Python, and Tableau to perform data modeling and assess performance. As Chris dives into these concepts, he shares specific case studies that come directly from his own work with clients. Plus, he shares three essential—and practical—best practices for data-driven marketing that you can use to bolster your organization's marketing performance.
- Installing R, Python, and Tableau
- Navigating the UI for R, Python, and Tableau
- Using R, Python, and Tableau
- Exploratory analysis
- Performing regression analysis
- Performing a cluster analysis
- Performing a conjoint assessment
- Stakeholder alignment
Skill Level Intermediate
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1. Software Installation
2. Data, Exploratory Analysis, and Performance Analysis
3. Inference and Regression Analysis
5. Cluster Analysis
6. Conjoint Analysis
7. Best Practices
Next steps1m 8s
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