Data Analysis with Python [Pandas] - Full Course for Beginners (2020)

Python data analysis / data science tutorial. Let’s go!
Learn Data Analysis with Python in this comprehensive tutorial for beginners, with exercises included! Data Analysis has been around for a long time, but up until a few years ago, it was practiced using closed, expensive and limited tools like Excel or Tableau. Python, SQL and other open libraries have changed Data Analysis forever.
How can we get started with data analysis or data science - so for example read and change data and also create our first quick chart - in Python? Besides Python, all we need is Pandas and Matplotlib. Doesn't sound familiar to you? Let's clear things up and get started in this video!

In this tutorial you'll learn the whole process of Data Analysis: reading data from multiple sources (CSVs, SQL, Excel, etc), processing them using NumPy and Pandas, visualize them using Matplotlib and Seaborn and clean and process it to create reports.
Additionally, we've included a thorough Jupyter Notebook tutorial, and a quick Python reference to refresh your programming skills.

The session covers:
0:00 Introduction
4:04 Jupyter Notebooks
18:00 Pandas
20:14 Pandas Series
46:45 Pandas DataFrames
1:05:03 Reading CSV files
1:30:56 Plotting data

It was taught by Dr Matt Williams

#python #pandas #programming #jupyter #rse #acrc #uob