Data Scientist Interview Mastery: Beginner to Expert
Description
This course is designed to help aspiring and experienced data scientists confidently prepare for technical interviews. Covering beginner, intermediate, and expert-level questions, it provides a structured approach to mastering essential concepts, coding problems, and real-world case studies. Whether you are just starting out or aiming for senior data science roles, this course will equip you with the necessary skills to crack interviews at top tech companies.
What You’ll Learn
Beginner Level: Fundamentals of Data Science Interviews
Introduction to Data Science and its Applications
Understanding Statistics & Probability for Data Science
Python & SQL Basics for Data Science Interviews
Exploratory Data Analysis (EDA) & Data Cleaning Questions
Common ML Algorithms: Linear Regression, Decision Trees, KNN
Behavioral and General Interview Questions for Beginners
Intermediate Level: Strengthening Core Concepts
Probability Distributions, Hypothesis Testing & A/B Testing
Feature Engineering & Data Preprocessing Techniques
Hands-on Coding Challenges in Python (Pandas, NumPy, Scikit-Learn)
Advanced SQL Queries & Optimization Techniques
Supervised vs. Unsupervised Learning Questions
Model Evaluation Metrics & Performance Tuning
Scenario-Based ML Questions and Business Case Studies
Expert Level: Cracking Senior-Level Interviews
Deep Learning & Neural Networks (CNNs, RNNs, Transformers)
Advanced Machine Learning Algorithms (XGBoost, Random Forest, SVMs)
End-to-End Model Deployment & MLOps
Time Series Forecasting & NLP-Based Interview Questions
Generative AI & Large Language Models (LLMs) in Interviews
Real-World Case Studies & Problem-Solving Strategies
System Design for AI & Scalable Data Science Solutions
Why Take This Course?
Comprehensive Preparation: Covers 100+ interview questions from all difficulty levels
Real-World Scenarios: Learn with case studies and hands-on problem-solving
Industry-Relevant Skills: Get ready for FAANG, startups, and top tech companies
Expert-Led Guidance: Benefit from insights by experienced data scientists and hiring managers
Who this course is for:
- Aspiring Data Scientists preparing for their job interview
- Anyone looking to strengthen their problem-solving and analytical skills in data science
Instructor
Do you know the company which prints the money for the RBI/ Fed/ Central Banks? If you get access to that company’s resources, imagine how your life can change!
That’s a far-fetched and impractical thing, right?
But here's something which is equally exciting..
Rabbitt Learning: Giving you the access to learn AI and top skills from the creators, inventors and practitioners of AI Applications in the real world.
This is an initiative led by the Lion Founder, Mr. Harneet Singh, who is chosen as World's Top 100 AI Leaders in Europe among the likes of Google DeepMind CEO, Groq CTO and HuggingFace Cofounder etc., to educate and upskill people in AI with real world case studies.
The courses will be taught by the AI Man himself, Mr. Harneet Singh, a serial entrepreneur and IIT Delhi alumnus, who has an experience of building 5 companies from scratch and managing P&L of 1 Billion+, is also a member of Forbes Business Council, CII, and served as an AI consultant with South Korean Navy
Rabbitt Learning is the education arm of Rabbitt AI, a London based revolutionary Generative AI company backed by TC Group, and industry leaders like NVIDIA, Meta and Microsoft etc.
More about Rabbitt AI
We are the inventors of ChanceRAG (a no-code enterprise grade advanced RAG solution live on HuggingFace), NAVICA and Curators AI.
At Rabbitt, we are helping organisations "Own their Data and Own their AI". In the new world, we are helping companies become the Landlords of AI world rather than just the Tenants like the past Internet world.
Our philosophy is that "in the Gen AI world, Big is no longer Beautiful, rather Small is Soothing". Smaller, custom and industry specific fine tuned models are making more moves than one big model. At Rabbitt AI, we are the advocates of these and helping companies adopt Open Source AI models like LLama, Mistral, Falcon, BLOOM, Gemma etc.