Course Content
0. Course Introduction (Free Preview)
In this module we will see why we should take this course?
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First Things First
1.1 Challenges faced by Digital Marketers
07:46
1. How to use the Platform?
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1. How to Navigate & Mark a Lesson as Complete
2. Download Exercise Files
2. Introduction to Python
In this module you will learn the basics of Python by first installing it on your system and then discussing the basic libraries which will be required.
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2.1 Python Installation & Important Libraries
04:04
2.2 Python Practice Exercise – Pandas
09:00
2.3 Python Practice Exercise – Seaborn and MatPlotLib
11:51
3. Python for Facebook Ads
In this module we will learn how to export data from Facebook ads manager. How to import this data in Python, perform data cleaning and then do data visualization. From the graphs, we will note down the actionable insights.
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3.1 Exporting Facebook Ads Data
10:09
3.2 Connecting Facebook Ads Data To Python
09:54
3.3.1 Analyzing Facebook Ads
17:48
3.3.2 Analyzing Facebook Ads – Continued
17:07
3.4 How To Apply This Code To Your Campaign Data?
08:20
4. Python for Google PPC Ads
We will apply the learnings of the previous module to Google Ads data.
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4.1 Exporting Google PPC Data
03:37
4.2 Connecting Google PPC Data to Python
09:30
4.3 Analyzing Google PPC Data
15:15
5. Road Ahead
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5.1 Conclusion and Road Ahead
01:49
6. Final Exam and Certification
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Certification Exam
Download Certificate
Data-Driven Marketing using Python
    About Lesson

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