Python for Beginners | Non Techies (Part 4)
Link to download Python file and Data: https://drive.google.com/drive/folder...
I often receive one common query from data science aspirants about where to start & how to progress? I don’t know programming or I don’t know to code? Can I learn it? Here is your answer, YES! You can.
In the 4th part of this tutorial series on Python, I have covered essential exploratory data analysis using Pandas, and their functions in an easy-to-follow manner.
-- Contents --
00:00 Introduction
00:54 Fast Forward View
03:18 Importing Libraries
04:17 Reading the CSV file
05:38 Top and Bottom Sample of Data
07:02 Shape of Data
07:45 Size of Data
08:37 Columns in Data Frame
09:15 Info about Data
11:34 Describe the Data
17:28 Data Types
18:01 Calling a Column from the Data Frame
21:01 Unique Values
22:32 5 Point Summary
23:44 Duplicate Records
24:19 Drop Column
26:47 Drop Duplicates
27:28 Null Values
31:42 Filter data
35:28 Group By Data
39:08 Round up Numbers
39:33 Pivot Table
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