Data Analyst Interview Resources
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Join our telegram channel to learn how data analysis can reveal fascinating patterns, trends, and stories hidden within the numbers! ๐Ÿ“Š

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๐Ÿš€ ๐—ช๐—ต๐—ถ๐—ฐ๐—ต ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฆ๐—ธ๐—ถ๐—น๐—น ๐—ช๐—ถ๐—น๐—น ๐—ฌ๐—ผ๐˜‚ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ?

Want to build apps, uncover insights, or create AI solutions? Explore certification courses that match your career goals! ๐ŸŽฏ

๐Ÿ’ป ๐—™๐˜‚๐—น๐—น ๐—ฆ๐˜๐—ฎ๐—ฐ๐—ธ ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—บ๐—ฒ๐—ป๐˜
๐Ÿ‘‰ https://pdlink.in/3SuUeuD

๐Ÿ“Š ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€
๐Ÿ‘‰ https://pdlink.in/45vk5ph

๐Ÿ’ซ๐—”๐—œ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด
๐Ÿ‘‰ https://pdlink.in/4fWJVID

๐Ÿ”ฅ Choose your path, sharpen your skills, and take the next step towards your tech career!

๐Ÿ“Œ Save this post & share it with a friend planning to upskill.
๐—ง๐—ข๐—ฃ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ข๐—จ๐—ฅ๐—ฆ๐—˜๐—ฆ ๐—ง๐—ข ๐—•๐—ข๐—ข๐—ฆ๐—ง ๐—ฌ๐—ข๐—จ๐—ฅ ๐—ฆ๐—ž๐—œ๐—Ÿ๐—Ÿ๐—ฆ ๐—œ๐—ก ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ!

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๐—˜๐˜…๐—ฝ๐—น๐—ผ๐—ฟ๐—ฒ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—›๐—ฒ๐—ฟ๐—ฒ๐Ÿ‘‡

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โœ… Complete Roadmap to Learn SQL (Structured Query Language) ๐Ÿง ๐Ÿ’ป

Week 1: SQL Basics
- What is SQL and how databases work
- Install MySQL Workbench or PostgreSQL
- Learn SELECT, FROM, WHERE
- Filtering data with conditions
- Practice basic queries
Example: Fetch all employees, filter salary > 50k

Week 2: Sorting and Aggregation
- ORDER BY (sorting data)
- Aggregate functions: COUNT, SUM, AVG, MIN, MAX
- GROUP BY concept
- HAVING clause
Example: Department-wise average salary

Week 3: Joins (Most Important ๐Ÿ”ฅ)
- INNER JOIN
- LEFT JOIN, RIGHT JOIN
- FULL JOIN
- Self Join
Example: Combine employees and departments tables

Week 4: Advanced Filtering
- IN, BETWEEN, LIKE
- Wildcards (% , _)
- NULL handling (IS NULL, IS NOT NULL)
- CASE statements
Example: Categorize customers based on spending

Week 5: Subqueries
- Nested queries
- Correlated subqueries
- Using subqueries in SELECT, WHERE
Example: Find employees earning above average salary

Week 6: Window Functions (High Value ๐Ÿ’ฐ)
- OVER() clause
- ROW_NUMBER(), RANK(), DENSE_RANK()
- PARTITION BY
Example: Rank employees by salary within each department

Week 7: CTE & Views
- Common Table Expressions (WITH)
- Temporary vs permanent views
- Simplify complex queries
Example: Multi-step data transformation

Week 8: Data Modification
- INSERT, UPDATE, DELETE
- TRUNCATE vs DELETE
- Constraints (PRIMARY KEY, FOREIGN KEY)
Example: Update employee salary

Week 9: Indexing & Performance
- What are indexes
- Query optimization basics
- EXPLAIN keyword
Example: Speed up large table queries

Week 10: Working with Real Data
- Import CSV data
- Data cleaning in SQL
- Handling duplicates
- Basic transformations
Example: Clean messy sales dataset

Week 11: Mini Projects
- Write complex queries
- Solve real-world case studies
- Focus on business logic
Examples: Sales dashboard queries, Customer segmentation

Week 12: Final Preparation
- Revise all concepts
- Practice interview questions
- Solve SQL challenges on LeetCode / HackerRank
- Mock interviews

Daily Rule for You
- Practice SQL 60 minutes daily
- Solve 5 queries daily
- Revise previous queries weekly

๐Ÿ”ฅ Pro Tip
- Focus more on JOINS + WINDOW FUNCTIONS
- Practice real datasets, not just theory
- Think in terms of โ€œbusiness questionsโ€

Double Tap โค๏ธ For Detailed Explanation
โค9
๐——๐—ฎ๐˜๐—ฎ ๐˜€๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ช๐—ถ๐˜๐—ต ๐—”๐—œ๐Ÿ˜

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๐Ÿ“š ๐—ง๐—ผ๐—ฝ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—˜๐˜…๐—ฝ๐—น๐—ผ๐—ฟ๐—ฒ:-

๐Ÿ’ซ Artificial Intelligence & Machine Learning
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๐Ÿ“Š Data Science Fundamentals
โ˜๏ธ Cloud Computing & Big Data

๐Ÿ”— ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—›๐—ฒ๐—ฟ๐—ฒ ๐Ÿ‘‡

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๐Ÿ“ฒ Save & Share with friends preparing for tech careers! ๐Ÿ”ฅ
๐Ÿฐ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—–๐—ผ๐—ฑ๐—ถ๐—ป๐—ด ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ˜

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โค2
๐—ง๐—”๐—ง๐—” ๐—™๐—ฅ๐—˜๐—˜ ๐— ๐—œ๐—–๐—ฅ๐—ข-๐—œ๐—ก๐—ง๐—˜๐—ฅ๐—ก๐—ฆ๐—›๐—œ๐—ฃ๐—ฆ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ! ๐ŸŽ“

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๐Ÿ”— ๐—˜๐˜…๐—ฝ๐—น๐—ผ๐—ฟ๐—ฒ ๐—ง๐—”๐—ง๐—” ๐—™๐—ฅ๐—˜๐—˜ ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ-๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ๐˜€๐Ÿ‘‡:-

https://pdlink.in/4yWgaPn

โšก Don't wait for your first job to start gaining practical experience!
โค2
Some interview questions related to Data science

1- what is difference between structured data and unstructured data.

2- what is multicollinearity.and how to remove them

3- which algorithms you use to find the most correlated features in the datasets.

4- define entropy

5- what is the workflow of principal component analysis

6- what are the applications of principal component analysis not with respect to dimensionality reduction

7- what is the Convolutional neural network. Explain me its working
โค2
๐— ๐—œ๐—–๐—ฅ๐—ข๐—ฆ๐—ข๐—™๐—ง ๐—™๐—ฅ๐—˜๐—˜ ๐——๐—”๐—ง๐—” ๐—ฆ๐—–๐—œ๐—˜๐—ก๐—–๐—˜ ๐—ฅ๐—˜๐—ฆ๐—ข๐—จ๐—ฅ๐—–๐—˜๐—ฆ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ! ๐ŸŽ“

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โœ… Useful for Data Analytics & Data Science Career Preparation

๐Ÿ”— ๐—”๐—ฐ๐—ฐ๐—ฒ๐˜€๐˜€ ๐—”๐—Ÿ๐—Ÿ ๐Ÿฐ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€ ๐Ÿ‘‡:-

https://pdlink.in/4k6ylNq

โšก Your Data Science journey can start today โ€” completely FREE!
๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ & ๐— ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—™๐—ฅ๐—˜๐—˜ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ๐—ฐ๐—น๐—ฎ๐˜€๐˜€ ๐Ÿ“Š

Build a strong foundation in Data Science .Explore Machine Learning and Deep Learning

Eligibility :- Students โ€ข Freshers โ€ข Working Professionals

๐Ÿ“… Date:- 23 October 2026
โฐ Time:- 7:00 PMโ€“9:00 PM IST
๐Ÿ’ป Mode:- Online

๐Ÿ”— ๐—ฅ๐—ฒ๐—ด๐—ถ๐˜€๐˜๐—ฒ๐—ฟ ๐—™๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜๐Ÿ‘‡ :-

https://pdlink.in/4i8MKGn

๐Ÿ“ข Share this opportunity with your friends and classmates.
๐Ÿš€๐— ๐—”๐—ฆ๐—ง๐—˜๐—ฅ ๐—˜๐—ซ๐—–๐—˜๐—Ÿ ๐—™๐—ข๐—ฅ ๐—™๐—ฅ๐—˜๐—˜ ๐—œ๐—ก ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ! ๐Ÿ“Š

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๐Ÿ”— ๐—Ÿ๐—ถ๐—ป๐—ธ๐Ÿ‘‡:-

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โšก One powerful skill can open doors to multiple career opportunities!