Topic ordering issue

[vedanthv]

This is a discussion for topic ordering for the roadmap.
Link to Google Docs: https://docs.google.com/document/d/1WN35mSfNXLQc6Dbg-V3GCWIpfgipyyEWHcHVcXngvB0/edit

[vedanthv]

@DaedalusDreamJournal Are you good with the ordering? Any changes needed?

[DaedalusDreamJournal]

all right, did have a look at you google doc file, so far so good and the order make logical sense.
That being said, as I've mentioned in the chat, it would be good to make sure the early part of the roadmaps include practice for beginner on theoretical subjects -> like matplotlib for stats.
What do you think?

[vedanthv]

At 4. I have included the stats playlist which is easy to follow.
Then at 5.I have included matplotlib and seaborn
At 6. There is linear algebra which is important for ML and DL and not so imp for Viz.
I guess it is in perfect order.

[vedanthv]

My take on the roadmap:
Let us divide the roadmap/curriculum into three sections:

1. Data Analyst
2. Data Scientist
3. Data Engineer
   Each section will have its own set of topics and we can divide that into three sections:
4. Beginner
5. Intermidiate
6. Advanced
   The learner can gauge where he/she stands and then choose the stage to start with
   The Data Analyst role will have less number of sections(less things to study for this role) followed by Data Engineer and Data Scientist.
   After completing the Data Analyst path(which is going to be the first one) he/she can gauge whether to proceed to Data Scientist or Data Engineer part of the roadmap
   The Data Engineer Path will have a few more courses than the Data Analyst path like Pipelines and the Data Scientist path will have all the content from Data Analyst and Data Scientist Path but excluding a few things like Tableau and PowerBI.