Data Analysis with Python for Beginners - Ep 2: Dataframes & Datasets

In this tutorial, we’ll learn how to interact with data in the Pandas library using dataframes. We’ll also learn how to grab a dataset from online, upload into Colab, and turn it into a Pandas dataframe. Pandas is a completely free and incredibly useful extension for Python that allows us to interact with datasets in a simple and easy way, and is crucial to know for any sort of data analysis/data science.

This video is part of an 8-part course designed to give absolute beginners an idea of what Data Analysis looks like using Python.

What is Data Analysis? Data Analysis is the process of exploring, cleaning, transforming, and modeling data as a way to produce insightful conclusions or gather useful information. It is a field that is growing rapidly, along with Data Science, and one that is very high in demand. If you’re interested in taking that career route, or maybe just want to learn it as a skill, this course is for you!

This episode’s Colab Notebook:

AI Global Index Dataset:

Episode Timestamps:
00:00 - Data Types
02:32 - What is Data?
04:00 - Pandas Dataframes
08:45 - Importing & accessing real data

[داعسالشيعهالروافض]

Nice job . But i didn't think this course if for beginners

[pm]

When creating a dataframe, either from typed data or a .csv, does Python treat all of the values as strings or does it try to infer the types? (e.g., foo = string, 2 = int, 2.5 = float, etc.)