Suman | Data Scientist
Suman | Data Scientist

@datawithsuman

10 Tweets 12 reads Jan 02, 2023
🚨 Roadmap to become a Data Scientist in 2023 🚨
A practical guide based on industry requirements πŸ§΅πŸ‘‡πŸ»
1/ Coding
Learn Object Oriented Programming, Exceptional handling, and have a working knowledge of fundamental Data Structures.
youtube.com
2/ Pandas
Start doing exploratory analysis with datasets from @kaggle.
youtube.com
3/ Statistics
Statistical test are part of a Data Science pipeline. Learn both descriptive and prescriptive stats.
youtube.com
4/ Linear Algebra
The core of ML is built around the fundamentals of Linear Algebra. Have a theoretical understanding of some of the concepts.
youtube.com
5/ Classical Machine Learning
Start your predictive modelling journey with classical ML. It's used profoundly at many companies.
youtube.com
6/ Deep Learning
Choose among NLP, CV, Reinforcement Learning, and start doing hands on.
youtube.com
7/ MLOps
Understand the nuances of putting models into production. Read blogs if you don't get real world experience.
mlops.community
8/ SQL
I kept it last because product companies have their own Data Engineering team taking care of providing the data. Hence the frequency of writing SQL queries is low. Still, an important skill to learn for interviews.
youtube.com
That’s all for the thread!
Start 2023 with a structured roadmap to become a Data Scientist.
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to grow together πŸš€

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