Pandas Basic Functionalities | Pandas Tutorial Part 2 | Data Analysis using Python

In this video, you will learn about how to load the data into notebook and how to use different basic functionalities on the dataset.

1- Loading the dataset using read_csv/ read_excel
2- shape() and size() function
3- head() and tail() function
4- columns() and index() function
4- isnull() function
5- dtypes function

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[pokelnb]

1. In the dataframe indexing always start with 0 how we can make it start from 1
2. Can you please elaborate the OBJECT data type, bcz in the data there are only charaters and some numbers then CHAR or VARCHAR could have been used .
Waiting for the answer...
By the way your videos are insightful and easy to understand. Keep doing the good work.

[rohanbilwal]

Thanks for making this video!🔥 Looking forward to get some more insightful content on data analysis