9 Types of API Testing

800+ Data Science Interview Questions – A Must-Have Resource for Every Aspirant

Breaking into the data science field is challenging—not because of a lack of opportunities, but because of how thoroughly you need to prepare.

This document, curated by Steve Nouri, is a goldmine of 800+ real-world interview questions covering:

-Statistics
-Data Science Fundamentals
-Data Analysis
-Machine Learning
-Deep Learning
-Python & R
-Model Evaluation & Optimization
-Deployment Strategies
…and much more!

🚀 Required Skills for a data scientist

🎯Statistics and Probability
🎯Mathematics
🎯Python, R, SAS and Scala or other.
🎯Data visualisation
🎯Big data
🎯Data inquisitiveness
🎯Business expertise
🎯Critical thinking
🎯Machine learning, deep learning and AI
🎯Communication skills
🎯Teamwork

ML Algorithms 💪

NLP techniques every Data Science professional should know!

1. Tokenization
2. Stop words removal
3. Stemming and Lemmatization
4. Named Entity Recognition
5. TF-IDF
6. Bag of Words