Data corner: Python (variables, functions, graphs with MatPlotLib and PyPlot, Pandas, Excel, and machine learning)

Skill #1: Using Variables in Python

Using variables is the basis of any coding within Python. This guide will help anyone who considers themself a beginner.

Resources:

1. Python Tutorial for Beginners (Video, ~6 minutes)

If you want a way more in-depth look into what you can do:

• Variable Scope and Namespace, Advanced Python (Video, ~20 minutes)

Skill #2: An Overview of Python Functions

Functions are an essential tool for coding in Python. A strong understanding is essential for anyone looking to learn Python.

Resource: 

1. Python Functions (Video, ~30 minutes)

If you want a way more in-depth look into what you can do:

• Using Functions as Objects — Mor Advanced Python (Video, ~15 minutes)

Skill #3: Creating graphs within Python using MatPlotLib 

This is a very helpful skill to help visualize data in Python. It can help when presenting findings to a diverse audience.

Resources: 

1. Easy ways to Use MatPlotLib (Video, ~4 minutes)

If you want a way more in-depth look into what you can do:

• Plotting Graphs: MatPlotlib and PyPlot (Video, ~17 minutes)

Skill #4: Using Pandas to Manipulate Excel Files

Pandas is a helpful tool to manipulate excel files within Python. This is a very important tool for data analysis.

Resources:

1. Ready to Replace Excel with Pandas? Here’s your Python Pandas Beginner Tutorial (Video, ~11 minutes)

If you want a way more in-depth look into what you can do:

• Automate Excel Work with Python and Pandas (Video, ~22 minutes)

Skill #5: Machine Learning in Python

Machine learning and AI are becoming intertwined in every field. Being able to leverage their capabilities within Python can help a programmer.

Resources:

1. Machine Learning Tool: Data Science (Video, ~2 minutes)

If you want a way more in-depth look into what you can do:

• Do you have 10 hours and want a full course? (Video, ~10 hours)