Data Analytics Portfolio Project - Netflix customer base (Python)

In this video we will analyse Netflix customer data. We will create various bar charts and a map to visualize data using Plotly, Seaborn and Matplotlib Python Libraries. We will make several pivots, so it is easier to create the summary report.

Dataset used can be found here - https://www.kaggle.com/datasets/arnav...

Summary Report and other freebies - https://stan.store/KarinaDataScientist

⚡️Just stating with Python? Learn how to clean and manipulate data using Pandas and how to create various types of visuals with Matplotlib. Start your programming journey with "Data Analysis with Python Masterclass" - https://stan.store/KarinaDataScientist ⚡️

🧠 AI to help you analyse your data - https://powerdrill.ai/?via=karina-sam...


Timestamps:

00:00 Intro
00:29 Libraries and modules
01:35 Data
01:58 Duplicates
02:08 Missing values
02:31 Bar chart number of users per country
03:43 Loop to create charts
06:12 Map Users per Country
08:26 Subs by Country
09.40 Pivot tables
11:13 Add Grand total to Pivot
11:48 Gender distribution by country
12:56 Pivot with multiple columns and rows
14:52 Chart Users by age
15:46 Masterclass
16:35 Subscription Duration
21:09 Average duration
21:48 Revenue/LTV calculation
22:32 Total and Average LTV per Country
24:56 Chart Revenue per device
25:15 Chart Gender distribution by device
25:39 Summary report

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