From the course: Python for Marketing (2019)
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Introduction to data wrangling - Python Tutorial
From the course: Python for Marketing (2019)
Introduction to data wrangling
- [Instructor] Let's talk about data wrangling. If you want to become a Pythonic marketer, then you're going to have to get good at data wrangling. When you receive data from people in CSV files, or whatever file you get data from, it's not going to be in perfect working order to be able to put into Pandas. So you're going to have to learn how to use Pandas and use Python to clean up and tidy that data to get it into the order that you need it to be able to do calculations, draw charts, make predictions. The dataset that we're working with here has a few flaws in it and we're going to have to correct those flaws in order to be able to do calculations, and draw charts, and make predictions and that is what we'll be doing in this section.
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Contents
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Introduction to data wrangling44s
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Fixing Google Analytics page data4m 17s
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Preparing data to be grouped2m 39s
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Creating new datasets with Groupby3m 18s
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Rebuilding Google Analytics data3m 25s
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Dropping columns2m 12s
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Replacing missing Facebook Ad data1m 6s
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Merging Google Analytics and Search Console1m 50s
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Saving your data to a CSV46s
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