| Anonymous | Pros:
Wonderful and friendly instructors
A wide coverage of different data science topics including machine learning and deep learning methods, BI tools, Data engineering concepts
Friendly classmates (luck of the draw though)
Some helpful alumni working in the industry
Cons:
Some methods covered in deep learning maybe a bit outdated
You have to be motivated and be willing to self teach a lot
Having a programming/cs background will help immensely
Lacking in depth (hence will have to self teach to master topics) |
| Anonymous | You don't need to have a design or tech background for the course. Classmates are coming from all different fields like bank, finance, insurance or design. A course both for new skills and building connections. Tutors are friendly and with on job experiences. |
| Mandy | You don't need to have a design or tech background for the course. Classmates are coming from all different fields like bank, finance, insurance or design. A course both for new skills and building connections. Tutors are friendly and with on job experiences. |
| David Wan | Pros:
Wonderful and friendly instructors
A wide coverage of different data science topics including machine learning and deep learning methods, BI tools, Data engineering concepts
Friendly classmates (luck of the draw though)
Some helpful alumni working in the industry
Cons:
Some methods covered in deep learning maybe a bit outdated
You have to be motivated and be willing to self teach a lot
Having a programming/cs background will help immensely
Lacking in depth (hence will have to self teach to master topics)
I did receive multiple job interviews/offers upon graduation. |