Data Analysis and Visualization Techniques

A little about me

• My background is largely in machine learning as applied to physical science

• The reason I’m here is to help introduce you to the skills and resources you’ll need to interact in the modern world of data visualization and analysis

• The first time I cut code for money was in 2014 and was for embedded data collection/analysis.

• My area of interest is in the intersection of natural science and computer/data science and how to use principles from one domain to empower the other.

A little about you

Right Now:

• What is your: (name, major)?
• Why are you taking this class?
• What do you expect from this class?
• What do you intend to do with the information you learn in this class?
• Give a boring fact about yourself…

Later (turn in exit ticket)

And now for the syllabus…

Get into groups for the following questions

What is Data Analysis… Data Visualization?

With your group

• Enumerate three fields for which you believe data analysis is essential, and one which you believe data analysis is not essential.

• List some common ways to visualize data that you’ve seen or used before

• List a few kinds of visuals that you found important, things that stuck with you?

Environment setup

• Spyder or JupyterLab
• Matplotlib, SciPy, NumPy, Seaborn

…

Now for an exercise!