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  3. Analyzing Marketing Campaigns with pandas
  • 1

    Pandas

    Free

    In this chapter, you will review pandas basics including importing datasets, exploratory analysis, and basic plotting.

  • 2

    Exploratory Analysis & Summary Statistics

    In this chapter, you will learn about common marketing metrics and how to calculate them using pandas. You will also visualize your results and practice user segmentation.

  • 3

    Conversion Attribution

    In this chapter, you will build functions to automate common marketing analysis and determine why certain marketing channels saw lower than usual conversion rates during late January.

  • 4

    Personalization A/B Test

    In this chapter, you will analyze an A/B test and learn about the importance of segmentation when interpreting the results of a test.

Initializing

Exercise

Aggregating by date

The marketing team wants to know whether there is any difference in the conversion rate based on when in the month, your users saw an ad. In this exercise, you will practice .groupby() again, this time looking at how metrics have evolved.

Instructions

100 XP
  • Group the marketing DataFrame by date_served and count the number of unique users per day.
  • Isolate converted users in marketing while grouping by date_served and counting the number of unique converted users per day.