for earning the Data Science Foundations – Level 2 badge,
Why is it mandatory that I have to take the (R 101) course and not the (Python 101) course?
I mean we should have the choice to take one of the programming languages and not to be forced for the R language only.

Thanks in Advance.

For a course entitled Scala 101, this course is pretty advanced, designed for those already familiar with enviroment, vocabulary and broad programing experience. I gave it a shot but I felt like it was a desastrous waist of my time. I strongly suggest you go back to scratching board and redesign it for people with no program experience, or do not classify it as "basic" or call it " 101". Those of us really interested in learn it would really appreciate that.

Very poorly done, very confusing

Learning Path : Data Science in Python
I noticed you have a Data Science Learning Path: Data Science Fundamentals but the programming language to complete that path is R (R 101). What if there is another option to customize the Data Science Learning path with another programming language such as Python.

There is a specific course that I have found that I want to take, but it is in the archived courses from the old Big Data University, and it says that I cannot create a new account to sign up for it. How can I access the course?

Love the courses and site but it would be really nice if the "Learning Paths" and "Courses" pages showed some type of progress status (ie: completed courses).

At Module 2, on the Dictionaries II in Python chapter:
After minute 2:53 of the video, audio and images do not correspond anymore.

PS: another idea would be the implementation of a issue report tool. (I did not found the proper place to do so).

Please add DB2 Administration Free Courses with Hands on Lab which can increase the DB2 Market in the Database World for IBM.

Hi there,
What jobs can a person do with Text Analysis?
Thank you.

Whatever is used to spellcheck the transcripts must not recognize the word "bitcoin". In the transcript for Bitcoin 101, there are references to "big corn" and "big Korean network".

The modules under data Scientist are not in sequence. In course DS0101EN under labs, there are Jupyter notebook is frequently used.
However description about using DSWB tools are given very later point of time under DS0105EN.
If we first give the introduction about DSWB tools, it will easier for new students to use Labs.

The course is too passive for the learner. I don't have to do anything other than answer quiz questions. Even the labs have all the answers typed out. Is this intentional?

... so that we can proudly tell the world (with a nice BDU logo) where we've learnt Data Science and Big Data!

Hi,

Just finished Graded Review Questions of Python 101 / Module 2 - Python Data Structures I.
Found that these questions are not covered by what's discussed in the module.
No sure if this is designed purposely.

In my personal opinion, it would be good that those questions are related and can be used as a review of what's learnt.

Thanks and regards,
Matt

My general observation is on the voice overs reading the script., It sounds too mechanical, a subject matter expert when teaching will modulate concepts better, in a way students can remember by remembering their voice or dynamics. The voice that is reading the transcripts lacks dynamics and the human element. Its too mechanical. Can be improved for better.

The sound quality and speed of speech is really bad. I am from the UK and I have found this really difficult to understand. I wasn't able to make out half of what was actually being said.