These are chat archives for FreeCodeCamp/DataScience
discussion on how we can use statistical methods to measure and improve the efficacy of http://freeCodeCamp.com
Nice! You are progressing very fast! Yes, I hope you will be able to find new more people from your country by the FCC channels and probably organise an encounter there? That would be great!
Similarly I also hope you are enjoying the rest of the int'l community as well!!
Having studies in Innovation and Technology Topics this is an interesting topic for me. My question would be:
What could we expect from the job market of Big Data / Data Science in the future taking in consideration some current trends in the industry?
No more than 6 years ago I remember a friend who was completing studies to become a Clinical Data Manager (CDM). A CDM is a person who has to follow the collection and transfer of the data for clinical trials from the start to the end of the trial. It is a very specialised job. About 6 years ago the job market was still healthy in Western Europe (there are numerous clinical trials in the continent) and the positions well paid. But suddenly, this friend ended up not finding jobs, and all the positions suddenly disappeared. Why? There was a centralisation of the activities and all the data collected in Europe and around the world for a clinical trial would be managed from a single operator in US, for example.
Boom. No more jobs as CDM and that happened very quickly, just in a period of 2-3 years.
In the Big Data sector the trend is apparently this:
What that means? It is possible that some leaders in the sector are pushing to centralization. Companies like Teradata, Pentaho, Datos, or DataDriven already offer centralised data analytics services since some time ago. A hardcore indication of this trend comes from companies dedicated to automated online marketing, or those in the stock market sector, offering automated bidding mechanisms. Those bidding mechanisms are not perfect though, but good enough for commodity services.
So questions that you would like to ask yourself now:
The point is: this sector as ALL sectors in IT could be changing VERY VERY fast, faster than you think... For what I have seen how companies change, you could expect that:
So making good selections and planning ahead could be very helpful, I guess...
Here an opinion from an specialist about the competition between Google vs MS ML Cloud for adoption for their new offers:
Picking up into
dplyr and other R tools:
@evaristoc here's some general R resources I've yet to fully utilize but seem worthwhile https://www.rstudio.com/resources/webinars/
This one is specific to
evaristoc sends brownie points to @erictleung :sparkles: :thumbsup: :sparkles: