Hello. Thank you for this thread. It is very interesting as I am doing the math degree too and considering adding CS. I am not sure.
Can I ask you some questions about the Google Cloud Data Analytics Professional Certificate? I am having a hard time finding any information on it from anyone who's completed it.
I am mainly wondering how long it takes to complete the course. Do you recommend it?
Thank you.
(Just as an aside, nothing relevant to the reason I am posting - which is for info about the google cloud data analytics professional cert. That's what I really want to know. This is just stuff I have thought about that is relevant to your posts so I will just add it for interest, if there is any -
but I also want to add some statistics credits to my degree because they are prereqs for things I might be interested in, and I just always wanted to learn it. I have considered taking the LSE statistics microbachelors because I read that TESU has a partnership with EdX and accepts their microbachelors. I am iffy on taking courses from statistics.com unless just for my own interest, which would probably only be after I am done at TESU, mainly because any courses that I am considering from statistics.com seem to transfer in as data science courses because part of the data science degree must be completed on statistics.com. I want to have statistics courses in my transcript. I haven't confirmed that statistics.com only transfers in as data science, though. I have an appointment with an advisor tomorrow. I will ask.
https://www.tesu.edu/degrees-programs/ba...cience.php (There's also an MS degree.)
Like on the data science degree page, it says this. These are all statistics.com courses:
Developed in partnership with The Institute for Statistics Education at Statistics.com, our innovative degree will advance your skills in predictive modeling, forecasting, customer segmentation, data visualization and risk analysis. The data science area of study, including all core and elective courses, is taught online at Statistics.com.
A. Core Area of Study Courses (23 Credits)
STA-2010 Principles of Statistics 3
Predictive Analytics I- Machine Learning Tools*
Predictive Analytics II- Neural Nets and Regression*
Predictive Analytics III- Dimension Reduction, Clustering and Association Rules*
Optimization- Linear Programming*
Introduction to Network Analysis*
Forecasting Analytics
Interactive Data Visualization*
B. Area of Study Electives: Students select four of the following courses (12 Credits)
SQL- Introduction to Database Queries*
Regression Analysis*
Introduction to R Programming
Python for Analytics
Financial Risk Modeling*
Spatial Statistics with Geographic Information Systems*
Integer and Nonlinear Programming and Network Flow
Risk Simulation and Queuing*
R Programming Intermediate
*Upper-division course as designated by ACE.
When I snoop around the degrees on "my progress" I see the same courses as the ones on statistics.com listed above are labeled as DSI courses instead of with the STA prefix for statistics. I don't want there to be confusion that I did actually take statistics courses.
This is from the masters degree evaluation, but they seem to be similar in content to the statistics.com courses listed above. The BS degree info in "my progress" doesn't list the TESU equivalents, except for:
A. Area of Study 12 SH
*must earn grades of C or better
**For assistance with course selection, please contact an
Advisor.**
Complete all of the following items. 0 of 1 Completed. Hide Details
0 of 12 Credits Completed. Hide Details
Credit details for *must earn grades of C or better **For assistance with course selection, please contact an Advisor.**
Status Course Grade Term Credits
Not Started COS-2060 R Programming
Not Started COS-2050 Python Programming
Not Started DSI-6010 PA1 MLT with Python
Not Started DSI-6020 PA2 Neural Nets/Rgrsn Python
On the MS page it lists these courses, which are presumably available at TESU, but they seem kind of the same as the courses available at statistics.com too. That's why I wonder if the statistics.com courses transfer in as stats courses. Really the question is what the data science BS transcript says for the statistics.com courses.
A. Programming
Complete one group (6 SH) from the options below:
**DSI-5050 Programming 1: Python and DSI-5070 Programming 2:
Python
**or**
DSI-5060 Programming 1: R and DSI-5080 Programming 2: R**
C. Predictive Anlytcs 1
Complete one course (3 SH) from the options below:
**DSI-6010 Predictive Analytics 1 - Machine Learning tools:
Python ** OR **
DSI-6040 Predictive Analytics 1 - Machine Learning
Tools: R**
D. Predictive Anlytcs 2
Complete one course (3 SH) from the options below:
**DSI-6020 Predictive Analytics 2 - Neural Nets and
Regression: Python
** OR **
DSI-6050 Predictive Analytics 2 - Neural Nets and
Regression: R **
E. Predictive Anlytcs 3
Complete one course (3 SH) from the options below:
**DSI-6030 Predictive Analytics 3 - Dimension Reduction,
Clustering and Association Rules: Python
** OR **
DSI-6060 Predictive Analytics 3 - Dimension Reduction,
Clustering and Association Rules: R **
F. Data Visualization
Complete DSI-6220 Interactive Data Visualization (3 SH).
G. Capstone
Complete DSI-7000 Applied Predictive Analytics (3 SH).
I was considering the SAS advanced programmer cert on coursera for the UL stat course credit on paper at TESU but I'm really not interested in it at all. I might just do it because I don't know other options for stats credits on my transcript and it seems easy enough.
I would ideally take regression analysis at statistics.com, but the timing isn't great. There are a few other options with better timing that I can get in in time to graduate in June, theoretically. I would have to review stats 1 because I took it many moons ago.
I am also wondering where you got the following non-math credits:
I need UL credits for this section of the degree. Where is GOG-3110 available and did it take you a long time to complete? )