Be a data scientist in 6 months. Learn R or SAS or Python in 6 weeks. Learn Data science by doing one capstone project on one dataset.
Sorry mate, there are no short cuts to success.
Your real data science journey begins AFTER you learn the statistics AFTER you learn the techniques AFTER you learn the tools like R/SAS/Python.
A couple of datasets like Iris / Boston / German Credit / Scraping Tweets wont do it. A few weeks on kaggle wont do it.
You probably need to spend a few more months on Kaggle and a few more months on competitive programming like www.hackerrank.com will bring your data science dreams closer.
Disclaimer-I have interviewed potential data scientists and I have taught on some of these kind of courses. #datascience #python #programming #r #statistics #datasets
Internships are the magic that a student to convert to data scientist. Not everyone can solve Kaggle contests while still in engineering or other schools. Not everyone has the money to pay for private institute’s training which basically teach R, Python or SAS but not analytical thinking when confronted with a messy real life dataset.
A project in such training is worth much less than the experience of internships.
Companies who have existing data science teams should also try and give internships to create a steadier supply of data scientists for their operations besides building a bigger brand in data science recruitment.
Meetups and LinkedIn groups( Facebook groups) are good places to offer internships and students should make attending Meetups as a pseudo proxy part of curriculum with the goal of landing internships in each year of their summer/winter break. #analytics #recruiting #python #r #meetup #engineers #internships #datascience