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Analyzing Marketing Campaigns with pandas
4.8(427)34k studentsBEGINNEREnglish
Korshub's take
The Korshub Take
This beginner Python course bridges technical data science skills with practical marketing business scenarios. Working with a subscription business dataset, learners practice translating core business questions into measurable marketing insights using pandas and matplotlib.
Who It's For
Marketing professionals wanting to integrate Python into their reporting, as well as aspiring data scientists eager to understand data analytics within marketing organizations.
Key Takeaways
- Business Question Translation: Formulate actionable metrics to evaluate campaign performance, channel referral volume, and underperforming channels.
- Pandas Fundamentals: Practice merging, slicing, grouping, and correcting data types across subscription business datasets.
- Visualizing Marketing Data: Use matplotlib to chart campaign metrics and present performance trends to stakeholders.
About this course
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.
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