BS or bust - TESU BS in Data Science and Analytics

[CarpeDiem8]

I finished my Statistics.com courses last week, I've done

Introductory Statistics
Introduction to Python for Analytics
Introduction to Network Analysis
R Programming - Introduction 1
SQL - Introduction to Database Queries
Forecasting Analytics
Regression Analysis
Interactive Data Visualization
Optimization - Linear Programming
Predictive Analytics 1 - Machine Learning Tools
Predictive Analytics 2 - Neural Nets and Regression
Predictive Analytics 3: Dimension Reduction, Clustering and Association Rules

Introduction to Python/R/SQL were easy as I already had some basic experience with python and SQL.
Of all courses I think Forecasting Analytics and the predictive analytics series required more time and work to understand

Just updating this thread that "Intro to Python Programming for Analytics" is no longer an elective for this degree.

Instead, it is now "Python for Analytics", which requires some prior programming knowledge. 

Someone may benefit by scheduling and taking the elective, "R Programming - Introduction 1" first.

HTH!

Danielle