Richard Ng, Accelerate Class of 2017

1. Analysis on New Coders
Data 2016
BY RICHARD NG, 2017-04-06

2. Background
Dataset: results from an online surveyby “Free Code Camp” in Year 2016.
48 questions
15,621 responses, 157 countries
Examples of Questions
◦ About how many months have you been programming for?
◦ Have you attended a full-time coding bootcamp? Which One?
◦ How much was your salary(post-bootcamp)?
◦ About how many months have you been programming for?
◦ How many children do you have?
◦ ….

9. Blue: All Respondents
Red: Attended Bootcamp

10. Features/Factors
1. Age
2. Commute Time
3. Expected Earning
4. Hours Learning
5. Income
6. Money Paid For Learning
7. Months of Programming
8. Student Debt Owe
Attended
Bootcamp?
Decision Tree
Classifier

11. Full Dataset
Train(80%) Test(20%)
Train/Test Split
Result 1 Result 2
Decision Tree
Classifier
Decision Tree
Classifier
Compare à Score

12. The Decision Tree => Attended Bootcamp?
[930, 41] => [Not Attended Yet, Attended]

13. 1. Commute Time
2. Expected Earning
3. Hours Learning
4. Income
5. Months of Programming
6. Student Debt Owe
Money Paid For
Learning
Programming
(how much $)
Multivariate Regressions
Y = β0 + β1X1 + β2X2 + … + βn*Xn
i.e.
(A x Commute Time) + (B x Expected Earning) + (C x Hours of Learning)
+ (D x Income) + (E x Months of Programming) + (F x Student Debt Owe)
= $ Money Paid for Programming

14. Ranges from 0 - 1.
0 = not variation is explained
1 = all variation is explained
So….
The
Result:

15. Category Commute Time
(min)
Expected
Earning
(US$)
Hours Per
Week (h)
Annual
Income
(US$)
Months of
Programming
Student
Debt Owe
(US$)
Money For
Learning
(US$)
1 45.30 64.9k 13.0 44.6k 9.27 114.2k 1.09k
2 56.85 80.6k 13.1 69.4k 14.60 26.0k 1.22k
3 50.97 53.0k 14.4 39.1k 10.75 24.7k 0.91k
KMeans Clustering