Python and Data Analytics

Python for Data Analytics and more

Computer programming and the analysis of data is an increasingly valuable skill-set, especially in a post-COVID work environment. In this 2-part bootcamp, students will engage in synchronous and asynchronous discussions and exercises involving Python and that analysis of novel datasets. Students will gain novice proficiency in terms of programming and data analysis conducted through Python, as well as machine learning techniques. More specifically, students will write a Python program to prepare a dataset for analysis and generate basic visualizations from a dataset.

Prerequisite for Data Visualization and Machine Learning using Python is Python for Data Analytics

A 2-week instructional bootcamp encompassing 35-40 hours of learning lead by Professor Imad Antonios at SCSU.

Check-out the instructional outline at:

https://drive.google.com/file/d/121NUc_QqK3BSPRc21SW9Jnr1dmr3ZM7J/view

Cost

Free!

Ideal student:

• STEM students interested in academic research or internship that involves working with data
• No GPA requirement
• Open to all levels (i.e., freshmen to seniors)
• Background in elementary statistics strongly recommended, no programming background necessary

Prerequisites

Basic understanding of computer programming as well as statistical analysis. Completion of Python and Data Analytics I is a prerequisite for the second series, Python and Data Analytics II.

Dates and Times