Thread by @datawithsuman

⌛️ 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

That's a wrap! If you enjoyed this thread:

1. Follow me @SumanDe36754787 for more of these.
2. RT the tweet below to share this thread with your audience.