⌛️ Making a Career in Data Science!
Folks, who want to break into Data Science but not sure how. Here are the list of skills you need in the exact order as below.
A thread 🧵👇
SQL - Knowledge of querying databases to fetch relevant data points is important throughout your career. #SQL
1/8
Python - If you are in tech domain, coding is a must skill, and Python is the most commonly used language in Data Science. #Python
2/8
Linear Algebra - Before you get started with ML, a fundamental understanding of Linear Algebra is important.
3/8
Probability - Concepts such as Bayes theorem, Conditional probability, etc., are crucial to learn. #Probability
4/8
Statistics - A lot of times even a simple statistical analysis could solve a business problem. Statistics is a crucial topic in Data Science. #Statistics
5/8
Machine Learning - Knowledge of ML is required if you are working in projects which has predictive modelling. #MachineLearning
6/8
Projects - Only theory would not help you during interviews. Do at-least two end-to-end Data Science projects applying the skills mentioned above. #DataScientist
7/8
Business Communication - Theory and projects are irrelevant if you cannot explain during interviews or to the stakeholders by leveraging various technical and business jargons. #Communication
8/8
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