Data Science is a broad area and it is a journey to become data scientist. There are various dimensions to it. Some of the areas that are critical and are needed as follows:
1) Skills part -
a) Background and Foundation of Math and Statistics, Probability
b) Programming knowledge (R, Python etc)
c) Industry / Domain knowledge for one or multiple area
d) Story telling ability (End to End) / Data Visualisation / Exploratory Data Analysis - this is data understanding part in CRISP-DM mostly
e) Work with data - data munging, data wrangling, feature engineering - this is the data preparation part in CRISP-DM mostly
f) Fundamentals around Big Data
2) Professional Experience part -
a) Applying skills in a project or multiple projects
b) Lessons learnt and continuous improvement from areas experienced
3) Professional Development / Giveback part -
a) Mentoring
b) Thought leadership using the experience gathered
Of course, above is not an exhaustive list, but intent is to capture some important themes.
Thanks
------------------------------
Kamal
------------------------------
Original Message:
Sent: 02-12-2019 11:10 PM
From: Rajeev Sharma
Subject: How to be a data scientist
If you want to become a data scientist, there are many things that are necessary. Along with hard work and skills a good training institute. Knowledge regarding various components of data science like R and python can be included. One can learn one of them and even both. Online training regarding data science is also provided. One can take the advantage of that.
------------------------------
Rajeev Sharma
------------------------------
#GlobalAIandDataScience
#GlobalDataScience