Pandas Python Tutorial for Data Science - Part 2

How to use Pandas for Data Analysis ? What is Pandas DataFrame? In this tutorial, we will cover the fundamental concepts to use the Python Pandas DataFrame.

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Data Analytics Course Link:

Please note that this video is Part 2. Part 1 Link:

The Pandas library is a powerful tool for multiple phases of the data science workflow; hence every data analyst /scientist should know how to use it.

I will also provide the raw data & python notebook in case you want to practice exactly what I am showing in the tutorial; which is the best way of learning!

What is Pandas?
- Pandas is a python package / library
- Pandas is a library for data manipulation and analysis
- Two main data structures: the Series and DataFrame

Tutorial Overview:

Video 1
1. What is a Panda's Series
2. What is a Dataframe
3. Creating DataFrames
4. Loading a CSV into a DataFrame
5. Basic methods for investigating/viewing a DataFrame

Video 2
1. Column Filtering
2. Row Filtering
3. Filtering / Slicing
4. Sorting the DF
5. Summarising / Aggregating Data
6. Creating New Calculated Fields

Link to download Raw Data and Python Notebook:

Link to download and install Python:

Yiannis Pitsillides on Social Media:

Pandas Python Tutorial for Data Science

[YiannisPi]

How did you find the tutorial? Please let me know in the comments!!

[andreasp.]

Yiannis, very useful and informative tutorial! Keep it up!

[brittnyfreeman]

I found this tutorial extremely straight forward, easy to understand, and efficient. Really happy I found your channel.

[lonlilokli]

hey! maybe your views are low but it's still useful even after 2 years, i'm watching it and learning, please keep posting videos! thank you for your work

[YouTuberr]

I love this tutorial <3 I followed along on Jupyter Notebook and learned a lot! Thank you!!