Data Analytics II: Exploratory Data Analysis

In this course, students will learn about the three main rules of data analysis and the associated statistical concepts relevant to performing different analytical methods. Using insight gaining from the data preprocessing step, students will learn how to identify a simple model with the ideal number of predictor variables.

At the end of the course, student will know:

1.    How use the three main rules of data analysis to inform model selection.
2.    How to run statistical analysis on data sets and interpret the results.
3.    How to determine which variables align with the research questions posed.

Consider 3-hour lecture per week, and 4-6 hours per week on quizzes and ongoing real-world projects for homework.

Who Is This Course For? 

for those considering a professional career in Data Analytics field

What Will You Learn? 
statistical concepts and different analytical methods
statistical analysis and data interpretation
Materials Required 
Mentor(s) 

Cynthia V. Marcello

Cynthia V. Marcello, DM is a tech solopreneur, software applications developer, data scientist, and business management consultant with 25 years of experience working with small-to-medium businesses, corporations, government, and educational agencies. She has developed data-driven applications for the Department of Defense (logistics), and numerous custom software applications (front-end and back-end) for operations and enterprise materials handling processes of corporations, and order-entry and production systems for online retailers.

Duration 
5 weeks
Cost 
$499.00
Bootcamp 
Data Analytics Bootcamp

Course Schedule:

Starting Monday, February 24, 2020 - 6:00pm
Location:
online
146 3rd Street
Newburgh, NY 12550
This course is part of a bootcamp: Data Analytics Bootcamp
All class dates:
Feb 24, Mar 3, Mar 10, Mar 17, Mar 24