100422 - Data Analytics
Overview
A six-module data analytics short course that takes a deep dive into Python, data management, predictive analytics, machine learning, artificial intelligence, clustering methods, and big data. Will focus on applications of these concepts and a hands-on course projects.Fee Information
Python- Pre-session- Friday, March 6th- 9am-5pm [hybrid]
Module 1: Data Management- Friday and Saturday, March 13th and March 14th- 9am-5pm [hybrid]
Review Session- Saturday, March 28th – 9am-11am [online]
Module 2: Predictive Analytics- Friday and Saturday, April 17th and 18th- 9am-5pm [hybrid]
Review Session- Saturday, April 25th- 9am-11am [online]
Project Review Session- Saturday, May 2nd- 9am-11am [online]
Module 3: Machine Learning and AI- Friday and Saturday, May 15th and 16th- 9am-5pm [hybrid]
Review Session- Saturday, May 30th- 9am-11am [online]
Project I (Predictive Analytics) due- Sunday, May 31st
Module 4: Classification and Clustering- Friday and Saturday, June 19th and 20th- 9am-5pm [hybrid]
Review Session- Saturday, June 27th- 9am-11am [online]
Project Review Session- Saturday, July 11th- 9am-11am [online]
Module 5: Big Data- Friday and Saturday, July 17th and 18th- 9am-5pm [hybrid]
Review Session- Saturday, 25th- 9am-11am [online]
Project II (Machine Learning) due- Friday, July 31st
Capstone Review Session- Saturday, August 1st- 9am-11am [online]
Module 6: Machine Learning and AI Applications- Friday & Saturday, August 14th and 15th- 9am-5pm [hybrid]
Capstone Review Session- Saturday, August 29th- 9am-5pm [online]
Final Capstone Project Presentations- Saturday, September 12th- 9am-5pm [hybrid]