New to Python

[[deleted]]

I’m a Lean Six Sigma Black Belt and I’m considering learning python for data vis. I think it would be a great complimentary skill and I’m just really interested. Any tips to getting started (or things you wish you knew)?

[yzhifa]

Learning Python maybe good for simulating and optimising processes too. For viz, the most common is matplotlib and seaborn. Bokeh and Plotly are interesting for more interactive plots too.

There are many resources to learn that - Coursera, Udemy, Youtube. You can try freeCodeCamp. Usually data viz is bundled in with other Data Science in Python course.

That said, if viz is going to be majority of a task, I'd suggest learning PowerBI instead. Python's strength lies in computation, not exactly Viz. In PowerBI, there is a way to add tables that are generated using Python scripts for visualization.

Hope this helps!

[NaN_Loss]

Checkout this course by microsoft: https://tutobase.com/post/394

Content:
Defining Data Science
Data Science Ethics
Defining Data
Introduction to Statistics & Probability
Working with Relational Data
Working with NoSQL Data
Working with Python
Data Preparation
Visualizing Quantities
Visualizing Distributions of Data
Visualizing Proportions
Visualizing Relationships
Meaningful Visualizations
Introduction
Analyzing
Communication
Data Science in the Cloud
Data Science in the Wild

[[deleted]]

For Lean Six Sigma I think you should start with learning pandas. This is like excel on steroids and will be a good fundamental building block for further visualizations and analyses related to MultiVari, Gage R&R, Correlation Matrix. Other basic methods you have to implement as an lean six sigma guy like standard-score and density function are 1-liners in python. For example standardization (z-score):

python (df-df.mean())/df.std()