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Analyzing Marketing Campaigns with pandas

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

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4 Hours14 Videos53 Exercises14,155 Learners4500 XPMarketing Analytics Track

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Course Description

One of the biggest challenges when studying data science technical skills is understanding how those skills and concepts translate into real jobs. Whether you're looking to level up in your marketing job by incorporating Python and pandas or you're trying to get a handle on what kinds of work a data scientist in a marketing organization might do, this course is a great match for you. We'll practice translating common business questions into measurable outcomes, including "How did this campaign perform?", "Which channel is referring the most subscribers?", "Why is a particular channel underperforming?" and more using a fake marketing dataset based on the data of an online subscription business. This course will build on Python and pandas fundamentals, such as merging/slicing datasets, groupby(), correcting data types and visualizing results using matplotlib.

  1. 1



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

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    Introduction to pandas for marketing
    50 xp
    Importing the dataset
    100 xp
    Examining the data
    100 xp
    Data types and data merging
    50 xp
    Updating the data type of a column
    100 xp
    Adding new columns
    100 xp
    Date columns
    100 xp
    Initial exploratory analysis
    50 xp
    Daily marketing reach by channel
    100 xp
    Visualizing daily marketing reach
    100 xp

In the following tracks

Marketing Analytics


sumedhpanchadharSumedh Panchadharmona-kayMona Khalil
Jill Rosok Headshot

Jill Rosok

Data Scientist at Spotify

Jill is a Data Scientist at Spotify.
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