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Data Science Interview Questions 1. What are the different subsets of SQL? Data Definition Language (DDL) – It allows you to perform various operations on the database such as CREATE, ALTER, and DELETE objects. Data Manipulation Language(DML) – It allows you to access and manipulate data. It helps you to insert, update, delete and retrieve data from the database. Data Control Language(DCL) – It allows you to control access to the database. Example – Grant, Revoke access permissions. 2. List the different types of relationships in SQL. There are different types of relations in the database: One-to-One – This is a connection between two tables in which each record in one table corresponds to the maximum of one record in the other. One-to-Many and Many-to-One – This is the most frequent connection, in which a record in one table is linked to several records in another. Many-to-Many – This is used when defining a relationship that requires several instances on each sides. Self-Referencing Relationships – When a table has to declare a connection with itself, this is the method to employ. 3. How to create empty tables with the same structure as another table? To create empty tables: Using the INTO operator to fetch the records of one table into a new table while setting a WHERE clause to false for all entries, it is possible to create empty tables with the same structure. As a result, SQL creates a new table with a duplicate structure to accept the fetched entries, but nothing is stored into the new table since the WHERE clause is active. 4. What is Normalization and what are the advantages of it? Normalization in SQL is the process of organizing data to avoid duplication and redundancy. Some of the advantages are: Better Database organization More Tables with smaller rows Efficient data access Greater Flexibility for Queries Quickly find the information Easier to implement Security

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✅ Step-by-Step Approach to Learn Programming 💻🚀 ➊ Pick a Programming Language Start with beginner-friendly languages that are widely used and have lots of resources. ✔️ Python – Great for beginners, versatile (web, data, automation) ✔️ JavaScript – Perfect for web development ✔️ C++ / Java – Ideal if you're targeting DSA or competitive programming Goal: Be comfortable with syntax, writing small programs, and using an IDE. ➋ Learn Basic Programming Concepts Understand the foundational building blocks of coding: ✔️ Variables, data types ✔️ Input/output ✔️ Loops (for, while) ✔️ Conditional statements (if/else) ✔️ Functions and scope ✔️ Error handling Tip: Use visual platforms like W3Schools, freeCodeCamp, or Sololearn. ➌ Understand Data Structures & Algorithms (DSA) ✔️ Arrays, Strings ✔️ Linked Lists, Stacks, Queues ✔️ Hash Maps, Sets ✔️ Trees, Graphs ✔️ Sorting & Searching ✔️ Recursion, Greedy, Backtracking ✔️ Dynamic Programming Use GeeksforGeeks, NeetCode, or Striver's DSA Sheet. ➍ Practice Problem Solving Daily ✔️ LeetCode (real interview Qs) ✔️ HackerRank (step-by-step) ✔️ Codeforces / AtCoder (competitive) Goal: Focus on logic, not just solutions. ➎ Build Mini Projects ✔️ Calculator ✔️ To-do list app ✔️ Weather app (using APIs) ✔️ Quiz app ✔️ Rock-paper-scissors game Projects solidify your concepts. ➏ Learn Git & GitHub ✔️ Initialize a repo ✔️ Commit & push code ✔️ Branch and merge ✔️ Host projects on GitHub Must-have for collaboration. ➐ Learn Web Development Basics ✔️ HTML – Structure ✔️ CSS – Styling ✔️ JavaScript – Interactivity Then explore: ✔️ React.js ✔️ Node.js + Express ✔️ MongoDB / MySQL ➑ Choose Your Career Path ✔️ Web Dev (Frontend, Backend, Full Stack) ✔️ App Dev (Flutter, Android) ✔️ Data Science / ML ✔️ DevOps / Cloud (AWS, Docker) ➒ Work on Real Projects & Internships ✔️ Build a portfolio ✔️ Clone real apps (Netflix UI, Amazon clone) ✔️ Join hackathons ✔️ Freelance or open source ✔️ Apply for internships ➓ Stay Updated & Keep Improving ✔️ Follow GitHub trends ✔️ Dev YouTube channels (Fireship, etc.) ✔️ Tech blogs (Dev.to, Medium) ✔️ Communities (Discord, Reddit, X) 🎯 Remember: • Consistency > Intensity • Learn by building • Debugging is learning • Track progress weekly