Endi mavjud! Telegram Tadqiqoti 2025 โ yilning asosiy insaytlari 
Data Analyst Interview Resources
Kanalga Telegramโda oโtish
Join our telegram channel to learn how data analysis can reveal fascinating patterns, trends, and stories hidden within the numbers! ๐ For ads & suggestions: @love_data
Ko'proq ko'rsatish52 186
Obunachilar
+1224 soatlar
+527 kunlar
+24530 kunlar
Ma'lumot yuklanmoqda...
O'xshash kanallar
Taglar buluti
Kirish va chiqish esdaliklari
---
---
---
---
---
---
Obunachilarni jalb qilish
Iyun '26
Iyun '26
+28
0 kanalda
May '26
+379
1 kanalda
Get PRO
Aprel '26
+254
0 kanalda
Get PRO
Mart '26
+137
0 kanalda
Get PRO
Fevral '26
+469
2 kanalda
Get PRO
Yanvar '26
+640
2 kanalda
Get PRO
Dekabr '25
+659
1 kanalda
Get PRO
Noyabr '25
+659
0 kanalda
Get PRO
Oktabr '25
+427
2 kanalda
Get PRO
Sentabr '25
+246
1 kanalda
Get PRO
Avgust '25
+401
5 kanalda
Get PRO
Iyul '25
+469
4 kanalda
Get PRO
Iyun '25
+964
4 kanalda
Get PRO
May '25
+2 024
15 kanalda
Get PRO
Aprel '25
+2 001
4 kanalda
Get PRO
Mart '25
+433
5 kanalda
Get PRO
Fevral '25
+314
8 kanalda
Get PRO
Yanvar '25
+446
8 kanalda
Get PRO
Dekabr '24
+359
1 kanalda
Get PRO
Noyabr '24
+1 176
1 kanalda
Get PRO
Oktabr '24
+1 546
2 kanalda
Get PRO
Sentabr '24
+2 308
1 kanalda
Get PRO
Avgust '24
+2 702
0 kanalda
Get PRO
Iyul '24
+3 082
3 kanalda
Get PRO
Iyun '24
+3 515
2 kanalda
Get PRO
May '24
+3 098
4 kanalda
Get PRO
Aprel '24
+3 203
3 kanalda
Get PRO
Mart '24
+3 843
2 kanalda
Get PRO
Fevral '24
+4 138
1 kanalda
Get PRO
Yanvar '24
+5 712
3 kanalda
Get PRO
Dekabr '23
+4 571
8 kanalda
Get PRO
Noyabr '23
+1 363
10 kanalda
Get PRO
Oktabr '23
+2 129
4 kanalda
Get PRO
Sentabr '23
+3 835
0 kanalda
| Sana | Obunachilarni jalb qilish | Esdaliklar | Kanallar | |
| 03 Iyun | +12 | |||
| 02 Iyun | +5 | |||
| 01 Iyun | +11 |
Kanal postlari
Give me 5 minutes, I will tell you
7 ways to get your next job in 3 months.
The situation is tough and talking to your colleague or mentor wonโt change a thing. Doing the below 6 things might get you your next opportunity faster
โ
Save this post for future reference
๐ญ. ๐จ๐ฝ๐ฑ๐ฎ๐๐ฒ ๐๐ถ๐ป๐ธ๐ฒ๐ฑ๐๐ป โ๐ข๐ฝ๐ฒ๐ป ๐ง๐ผ ๐ช๐ผ๐ฟ๐ธโ ๐ฆ๐ฒ๐๐๐ถ๐ป๐ด
- Use a generic title (Data Engineer) as well as a role-specific title (Azure Data Engineer).
- Select all location types and tech hubs in India.
- Update your current location to Bangalore, Hyderabad, or Noida, as most companies hire from these locations.
๐ฎ. ๐ฆ๐ธ๐ถ๐น๐น ๐๐ป๐ต๐ฎ๐ป๐ฐ๐ฒ๐บ๐ฒ๐ป๐ ๐ฎ๐ป๐ฑ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป
- Enhance in-demand skills through courses, certifications and projects to make your profile stand out to employers.
- Free Resources
โข SQL - https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
โข Python - https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
โข Web Development - https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
โข Excel - https://whatsapp.com/channel/0029VaifY548qIzv0u1AHz3i
โข Power BI - https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c
โข Java Programming - https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s
โข Javascript - https://whatsapp.com/channel/0029VavR9OxLtOjJTXrZNi32
โข Machine Learning - https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
โข Artificial Intelligence - https://whatsapp.com/channel/0029VaoePz73bbV94yTh6V2E
โข Projects - https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
๐ฏ. ๐๐ผ๐ถ๐ป ๐๐ฟ๐ผ๐๐ฝ๐
- Jobs & Internship Opportunities: https://t.me/getjobss
- Data Analyst Jobs: https://t.me/jobs_SQL
- Web Development Jobs: https://t.me/webdeveloperjob
- Data Science Jobs: https://t.me/datasciencej
- Software Engineering Jobs: https://t.me/internshiptojobs
- Google Jobs: https://t.me/FAANGJob
๐ฐ. ๐ง๐ฟ๐ถ๐ฐ๐ธ๐ ๐๐ผ ๐ด๐ฒ๐ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐๐ฎ๐น๐น๐
- Visit the career portals of companies and apply to 10-15 recent openings.
- Cold email to companies/ HRs
- Apply for remote Jobs posted on telegram - https://t.me/jobs_us_uk
๐ฑ. ๐๐๐ธ ๐ณ๐ผ๐ฟ ๐ฅ๐ฒ๐ณ๐ฒ๐ฟ๐ฟ๐ฎ๐น๐:
- When asking for a referral, ensure the person passes on your resume explicitly to the hiring manager.
- While asking for referral make sure to send Job id along with resume.
๐ฒ. ๐๐ฒ๐ฏ๐๐ถ๐๐ฒ๐ ๐๐ผ ๐บ๐ฎ๐ธ๐ฒ ๐๐ผ๐๐ฟ ๐ฟ๐ฒ๐๐๐บ๐ฒ ๐ฏ๐ฒ๐๐๐ฒ๐ฟ:
1. career.io
2. resume.io
๐๐ผ๐ถ๐ป ๐บ๐ ๐ฃ๐ฒ๐ฟ๐๐ผ๐ป๐ฎ๐น ๐๐ต๐ฎ๐ป๐ป๐ฒ๐น๐ -
- https://t.me/jobinterviewsprep
- https://t.me/InterviewBooks
If you've read so far, do LIKE and REPOST the post๐
| 2 |  ๐Greetings from PVR Cloud Tech!! ๐
๐ฅ Do you want to become a Master in Azure Cloud Data Engineering?
If you're ready to build in-demand skills and unlock exciting career opportunities, this is the perfect place to start!
๐ Start Date: 1st June 2026
โฐ Time: 09 PM โ 10 PM IST | Monday
๐ ๐๐ง๐ญ๐๐ซ๐๐ฌ๐ญ๐๐ ๐ข๐ง ๐๐ณ๐ฎ๐ซ๐ ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ ๐ฅ๐ข๐ฏ๐ ๐ฌ๐๐ฌ๐ฌ๐ข๐จ๐ง๐ฌ?
๐ Message us on WhatsApp:
https://wa.me/917032678595?text=Interested_to_join_Azure_Data_Engineering_live_sessions
๐น Course Content:
https://drive.google.com/file/d/1QKqhRMHx2SDNDTmPAf3โ
4fA6LljKHm6/view
๐ฑ Join WhatsApp Group:
https://chat.whatsapp.com/EZghn5PVmryDgJZ1TjIMRk
๐ฅ Register Now:
https://forms.gle/LidHPdfxvNeg9LpeA
Teamย
PVR Cloud Tech :)ย
+91-9346060794 | 887 |
| 3 | Data Analyst INTERVIEW QUESTIONS AND ANSWERS
๐๐
1.Can you name the wildcards in Excel?
Ans: There are 3 wildcards in Excel that can ve used in formulas.
Asterisk (*) โ 0 or more characters. For example, Ex* could mean Excel, Extra, Expertise, etc.
Question mark (?) โ Represents any 1 character. For example, R?ain may mean Rain or Ruin.
Tilde (~) โ Used to identify a wildcard character (~, *, ?). For example, If you need to find the exact phrase India* in a list. If you use India* as the search string, you may get any word with India at the beginning followed by different characters (such as Indian, Indiana). If you have to look for Indiaโ exclusively, use ~.
Hence, the search string will be india~*. ~ is used to ensure that the spreadsheet reads the following character as is, and not as a wildcard.
2.What is cascading filter in tableau?
Ans: Cascading filters can also be understood as giving preference to a particular filter and then applying other filters on previously filtered data source. Right-click on the filter you want to use as a main filter and make sure it is set as all values in dashboard then select the subsequent filter and select only relevant values to cascade the filters. This will improve the performance of the dashboard as you have decreased the time wasted in running all the filters over complete data source.
3.What is the difference between .twb and .twbx extension?
Ans:
A .twb file contains information on all the sheets, dashboards and stories, but it wonโt contain any information regarding data source. Whereas .twbx file contains all the sheets, dashboards, stories and also compressed data sources. For saving a .twbx extract needs to be performed on the data source. If we forward .twb file to someone else than they will be able to see the worksheets and dashboards but wonโt be able to look into the dataset.
4.What are the various Power BI versions?
Power BI Premium capacity-based license, for example, allows users with a free license to act on content in workspaces with Premium capacity. A user with a free license can only use the Power BI service to connect to data and produce reports and dashboards in My Workspace outside of Premium capacity. They are unable to exchange material or publish it in other workspaces. To process material, a Power BI license with a free or Pro per-user license only uses a shared and restricted capacity. Users with a Power BI Pro license can only work with other Power BI Pro users if the material is stored in that shared capacity. They may consume user-generated information, post material to app workspaces, share dashboards, and subscribe to dashboards and reports. Pro users can share material with users who donโt have a Power BI Pro subscription while workspaces are at Premium capacity.
ENJOY LEARNING ๐๐ | 794 |
| 4 |  ๐ง๐ผ๐ฝ ๐ฏ ๐๐ฅ๐๐ ๐ฃ๐๐๐ต๐ผ๐ป ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐๐ป ๐ฎ๐ฌ๐ฎ๐ฒ! ๐๐ป
These FREE certification courses can help you build strong programming skills and stand out from the crowd ๐
โ
Free Learning Resources
โ
Certificate Opportunities
โ
Beginner Friendly
โ
Boost Your Resume & Tech Skills
๐ Perfect for students, freshers, aspiring developers, data analysts, and tech enthusiasts.
๐ ๐๐ป๐ฟ๐ผ๐น๐น ๐๐ผ๐ฟ ๐๐ฅ๐๐๐:
https://pdlink.in/43DnP6S
๐ Start learning today and level up your career with Python! | 757 |
| 5 | ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ฅ๐ผ๐ฎ๐ฑ๐บ๐ฎ๐ฝ
๐ญ. ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ๐: Master Python, SQL, and R for data manipulation and analysis.
๐ฎ. ๐๐ฎ๐๐ฎ ๐ ๐ฎ๐ป๐ถ๐ฝ๐๐น๐ฎ๐๐ถ๐ผ๐ป ๐ฎ๐ป๐ฑ ๐ฃ๐ฟ๐ผ๐ฐ๐ฒ๐๐๐ถ๐ป๐ด: Use Excel, Pandas, and ETL tools like Alteryx and Talend for data processing.
๐ฏ. ๐๐ฎ๐๐ฎ ๐ฉ๐ถ๐๐๐ฎ๐น๐ถ๐๐ฎ๐๐ถ๐ผ๐ป: Learn Tableau, Power BI, and Matplotlib/Seaborn for creating insightful visualizations.
๐ฐ. ๐ฆ๐๐ฎ๐๐ถ๐๐๐ถ๐ฐ๐ ๐ฎ๐ป๐ฑ ๐ ๐ฎ๐๐ต๐ฒ๐บ๐ฎ๐๐ถ๐ฐ๐: Understand Descriptive and Inferential Statistics, Probability, Regression, and Time Series Analysis.
๐ฑ. ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด: Get proficient in Supervised and Unsupervised Learning, along with Time Series Forecasting.
๐ฒ. ๐๐ถ๐ด ๐๐ฎ๐๐ฎ ๐ง๐ผ๐ผ๐น๐: Utilize Google BigQuery, AWS Redshift, and NoSQL databases like MongoDB for large-scale data management.
๐ณ. ๐ ๐ผ๐ป๐ถ๐๐ผ๐ฟ๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐ฅ๐ฒ๐ฝ๐ผ๐ฟ๐๐ถ๐ป๐ด: Implement Data Quality Monitoring (Great Expectations) and Performance Tracking (Prometheus, Grafana).
๐ด. ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ง๐ผ๐ผ๐น๐: Work with Data Orchestration tools (Airflow, Prefect) and visualization tools like D3.js and Plotly.
๐ต. ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐ฟ: Manage resources using Jupyter Notebooks and Power BI.
๐ญ๐ฌ. ๐๐ฎ๐๐ฎ ๐๐ผ๐๐ฒ๐ฟ๐ป๐ฎ๐ป๐ฐ๐ฒ ๐ฎ๐ป๐ฑ ๐๐๐ต๐ถ๐ฐ๐: Ensure compliance with GDPR, Data Privacy, and Data Quality standards.
๐ญ๐ญ. ๐๐น๐ผ๐๐ฑ ๐๐ผ๐บ๐ฝ๐๐๐ถ๐ป๐ด: Leverage AWS, Google Cloud, and Azure for scalable data solutions.
๐ญ๐ฎ. ๐๐ฎ๐๐ฎ ๐ช๐ฟ๐ฎ๐ป๐ด๐น๐ถ๐ป๐ด ๐ฎ๐ป๐ฑ ๐๐น๐ฒ๐ฎ๐ป๐ถ๐ป๐ด: Master data cleaning (OpenRefine, Trifacta) and transformation techniques.
Data Analytics Resources
๐๐
https://t.me/sqlspecialist
Hope this helps you ๐ | 1 163 |
| 6 |  ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐๐ถ๐๐ต ๐๐ฒ๐ป๐๐ ๐ข๐ป๐น๐ถ๐ป๐ฒ ๐ช๐ฒ๐ฏ๐ถ๐ป๐ฎ๐ฟ ๐
AI is replacing analysts who don't adapt.
Learn Data Analytics + GenAI with IBM & Microsoft certifications. Land your dream role with dedicated placement support.
๐1200+ Hiring Partners. 128% avg hike. 35 LPA Highest CTC in Placements.
๐ซ๐๐ผ๐ผ๐ธ ๐๐ผ๐๐ฟ ๐๐ฅ๐๐ ๐๐ฒ๐ฏ๐ถ๐ป๐ฎ๐ฟ :-
https://pdlink.in/4uwBw3q
Hurry Up โโ๏ธ! Limited seats are available. | 1 059 |
| 7 | ๐ Top Projects for Data Analytics Portfolio ๐๐ป
๐ 1. Sales Dashboard (Excel / Power BI / Tableau)
โถ๏ธ Analyze monthly/quarterly sales by region, category
โถ๏ธ Show KPIs: Revenue, YoY Growth, Profit Margin
๐ 2. E-commerce Customer Segmentation (Python + Clustering)
โถ๏ธ Use RFM (Recency, Frequency, Monetary) model
โถ๏ธ Visualize clusters with Seaborn / Plotly
๐ 3. Churn Prediction Model (Python + ML)
โถ๏ธ Dataset: Telecom or SaaS customer data
โถ๏ธ Techniques: Logistic Regression, Decision Tree
๐ฆ 4. Supply Chain Delay Analysis (SQL + Tableau)
โถ๏ธ Identify causes of late deliveries using historical order data
โถ๏ธ Visualize supplier-wise performance
๐ 5. A/B Testing for Product Feature (SQL + Python)
โถ๏ธ Simulate or use real test data (e.g. button click-through rates)
โถ๏ธ Metrics: Conversion Rate, Significance Test
๐ 6. COVID-19 Trend Tracker (Python + Dash)
โถ๏ธ Scrape or pull live data from APIs
โถ๏ธ Show cases, recovery, testing rates by country
๐
7. HR Analytics โ Attrition Analysis (Excel / Python)
โถ๏ธ Predict or explore employee exits
โถ๏ธ Use decision trees or visual storytelling
๐ก Tip: Upload projects to GitHub + create a simple portfolio site or blog to stand out.
๐ฌ Double Tap โค๏ธ For More | 1 153 |
| 8 |  ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐ ๐๐ฅ๐๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐๐
โจ Learn In-Demand Tech Skills
โจ Boost Your Resume & LinkedIn Profile
โจ Improve Career Opportunities
โจ Self-Paced Online Learning
โจ Great for Freshers & Students
๐ ๐๐ป๐ฟ๐ผ๐น๐น ๐๐ผ๐ฟ ๐๐ฅ๐๐๐:
https://pdlink.in/49p31Uh
๐ฅ Start learning today and prepare for high-paying tech careers with Microsoft free certification programs | 1 033 |
| 9 | SQL From Basic to Advanced level
Basic SQL is ONLY 7 commands:
- SELECT
- FROM
- WHERE (also use SQL comparison operators such as =, <=, >=, <> etc.)
- ORDER BY
- Aggregate functions such as SUM, AVERAGE, COUNT etc.
- GROUP BY
- CREATE, INSERT, DELETE, etc.
You can do all this in just one morning.
Once you know these, take the next step and learn commands like:
- LEFT JOIN
- INNER JOIN
- LIKE
- IN
- CASE WHEN
- HAVING (undertstand how it's different from GROUP BY)
- UNION ALL
This should take another day.
Once both basic and intermediate are done, start learning more advanced SQL concepts such as:
- Subqueries (when to use subqueries vs CTE?)
- CTEs (WITH AS)
- Stored Procedures
- Triggers
- Window functions (LEAD, LAG, PARTITION BY, RANK, DENSE RANK)
These can be done in a couple of days.
Learning these concepts is NOT hard at all
- what takes time is practice and knowing what command to use when. How do you master that?
- First, create a basic SQL project
- Then, work on an intermediate SQL project (search online) -
Lastly, create something advanced on SQL with many CTEs, subqueries, stored procedures and triggers etc.
This is ALL you need to become a badass in SQL, and trust me when I say this, it is not rocket science. It's just logic.
Remember that practice is the key here. It will be more clear and perfect with the continous practice
Best telegram channel to learn SQL: https://t.me/sqlanalyst
Data Analyst Jobs๐
https://t.me/jobs_SQL
Join @free4unow_backup for more free resources.
Like this post if it helps ๐โค๏ธ
ENJOY LEARNING ๐๐ | 1 024 |
| 10 |  ๐๐ & ๐ ๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ ๐ฏ๐ ๐๐๐, ๐๐๐ง ๐ ๐ฎ๐ป๐ฑ๐ถ๐
Freshers get 15 LPA Average Salary with AI & ML Skills!
- Eligibility: Open to everyone
- Duration: 6 Months
- Program Mode: Online
- Taught By: IIT Mandi Professors
90% Resumes without AI + ML skills are being rejected.
ย ๐๐ฝ๐ฝ๐น๐ ๐ก๐ผ๐๐ :-ย
https://pdlink.in/4nmI024
Get Placement Assistance With 5000+ Companies | 963 |
| 11 |  ๐จ๐ฅ ๐ ๐๐๐ฅ๐ข๐ฆ๐ข๐๐ง ๐๐๐๐ฅ๐๐ = ๐ ๐ข๐๐๐ฅ๐ก ๐๐๐ง๐ ๐๐ก๐๐๐ก๐๐๐ฅ๐๐ก๐ ๐ฅ๐จ
Most professionals still donโt even realize that ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐ ๐๐ฎ๐ฏ๐ฟ๐ถ๐ฐ is becoming a major part of ๐ ๐ผ๐ฑ๐ฒ๐ฟ๐ป ๐๐ฎ๐๐ฎ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด.
Just like Azure exploded after 2018โฆ
Microsoft Fabric is now entering the same growth phase. ๐
๐๐ผ๐บ๐ฝ๐ฎ๐ป๐ถ๐ฒ๐ ๐ฎ๐ฟ๐ฒ ๐ฎ๐ด๐ด๐ฟ๐ฒ๐๐๐ถ๐๐ฒ๐น๐ ๐บ๐ผ๐๐ถ๐ป๐ด ๐๐ผ๐๐ฎ๐ฟ๐ฑ๐:
โ
OneLake
โ
Lakehouse
โ
Real-Time Analytics
โ
Fabric Pipelines
โ
PySpark & Notebooks
โ
Power BI + Fabric Integration
๐ฅ 500+ Professionals Already Trained
๐ฅ Real-Time Industry Projects
๐ฅ Practical Hands-on Sessions
๐ฅ Interview Preparation & Career Guidance
๐ฅ Placement & Collaboration Support Efforts
๐จ ๐ก๐ฒ๐ ๐๐ฎ๐๐ฐ๐ต ๐ฆ๐๐ฎ๐ฟ๐๐ถ๐ป๐ด: 3rd June 2026
โฐ ๐ง๐ถ๐บ๐ถ๐ป๐ด: 8 AM โ 9 AM IST
๐ Live Online Sessions
โ ๏ธ Early movers always get the biggest advantage before the market becomes crowded.
๐ฉ ๐๐ผ๐ถ๐ป ๐๐ต๐ถ๐ ๐ฐ๐ผ๐บ๐บ๐๐ป๐ถ๐๐ ๐ณ๐ผ๐ฟ ๐ณ๐๐ฟ๐๐ต๐ฒ๐ฟ ๐ฑ๐ฒ๐๐ฎ๐ถ๐น๐ & ๐ฟ๐ฒ๐ด๐ถ๐๐๐ฟ๐ฎ๐๐ถ๐ผ๐ป:
WhatsApp Community๏ฟผ
https://chat.whatsapp.com/H7wG27XRZ6vChKR6xfIL9S | 1 111 |
| 12 |  ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ถ๐๐ต ๐๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ | ๐ญ๐ฌ๐ฌ% ๐๐ผ๐ฏ ๐๐๐๐ถ๐๐๐ฎ๐ป๐ฐ๐ฒ๐
Build Python, Machine Learning, and AI Skills
๐ซ60+ Hiring Drives Every Month | Receive 1-on-1 mentorship
12.65 Lakhs Highest Salary | 500+ Partner Companies
๐๐ผ๐ผ๐ธ ๐ฎ ๐๐ฅ๐๐ ๐ฆ๐ฒ๐๐๐ถ๐ผ๐ป :- ๐:-
ย Online :- https://pdlink.in/4fdWxJB
๐น Hyderabad :- https://pdlink.in/4kFhjn3
๐น Pune:-ย https://pdlink.in/45p4GrC
๐น Noida :- ย https://linkpd.in/DaNoida
Hurry Up ๐โโ๏ธ! Limited seats are available. | 948 |
| 13 | Data Analysis Interview Questions
1. What is the difference between Primary Key and Foreign Key? (SQL Basics)
2. Write a query to find the second highest salary in the Employee table.
3. How do you handle missing values in a dataset? (Data Cleaning)
4. What is the difference between COUNT(*), COUNT(column), and COUNT(DISTINCT column)?
5. What are measures of central tendency in statistics? (Stats Basics)
6. What is a window function in SQL? Provide examples of ROW_NUMBER and RANK.
7. Write a query to fetch the top 3 performing products based on sales.
8. Explain the difference between UNION and UNION ALL.
9. Explain p-value in hypothesis testing. (Statistics)
10. How would you detect outliers in a dataset? (EDA)
11. Write a query to get the top 3 departments with the highest average salary. (SQL + Aggregation)
12. What is correlation? How do you interpret it? (Statistics)
13. Explain the difference between DELETE and TRUNCATE commands.
14. What are KPIs? Give examples for an e-commerce company. (Business)
15. How do you calculate a running total in SQL? (Window Functions โ Advanced SQL)
16. Explain the difference between Correlation and Regression. (Stats)
17. How do you handle imbalanced datasets in classification problems? (ML + Analytics)
18. How would you design an A/B test for a new pricing model? (Experiment Design)
19. How would you detect anomalies in financial transactions? (Real-World Case)
Data Analysis/Scenario-Based Questions
20. Write a query to identify the most profitable regions based on transaction data.
21. How would you analyze customer churn using SQL?
22. Explain the difference between OLAP and OLTP databases.
23. How would you determine the Average Revenue Per User (ARPU) from transaction data?
24. Describe a scenario where you would use a LEFT JOIN instead of an INNER JOIN.
25. Write a query to calculate YoY (Year-over-Year) growth for a set of transactions.
26. How would you implement fraud detection using transactional data?
27. Write a query to find customers who have used more than 2 credit cards for transactions in a given month.
28. How would you approach a business problem where you need to analyze the spending patterns of premium customers? | 1 383 |
| 14 | ๐ง Advanced SQL Interview Question โก
๐ Find pairs of employees who work in the same department and earn the same salary
Table: Employees
Columns:
employee_id, employee_name, department_id, salary
๐ Query:
SELECT e1.employee_id AS emp1_id,
e1.employee_name AS emp1_name,
e2.employee_id AS emp2_id,
e2.employee_name AS emp2_name,
e1.department_id,
e1.salary
FROM Employees e1
JOIN Employees e2
ON e1.department_id = e2.department_id
AND e1.salary = e2.salary
AND e1.employee_id < e2.employee_id;
๐ฏ Why this question matters:
โ
Tests self joins deeply
โ
Evaluates logical thinking in SQL
โ
Commonly asked in advanced interview rounds
๐ Pro Tip:
Self joins are extremely useful for comparing rows within the same table without using loops.
๐ฅ React โค๏ธ for more advanced SQL interview questions ๐ | 1 409 |
| 15 |  ๐๐/๐ ๐ ๐ฟ๐ผ๐น๐ฒ๐ ๐ฎ๐ฟ๐ฒ ๐ณ๐ฎ๐๐๐ฒ๐๐-๐ด๐ฟ๐ผ๐๐ถ๐ป๐ด ๐ฐ๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ ๐ณ๐ถ๐ฒ๐น๐ฑ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฒ๐
The demand is real, salaries are high, and the talent gap is wide open
Enrol for AI/ML Certification Program by CCE, IIT Mandi!
Eligibility: Open to everyone
Duration: 6 Months
Program Mode: Online
Taught By: IIT Mandi Professors
Deadline :- 23rd May
๐ฅ๐ฒ๐ด๐ถ๐๐๐ฒ๐ฟ ๐ก๐ผ๐๐ :-
https://pdlink.in/4nmI024
.
๐Get Placement Assistance With 5000+ Companies | 1 194 |
| 16 | โ
Top Data Analyst Interview Q&A ๐ฏ
1. How do you handle messy or incomplete data in a real project
Answer:
I start by profiling the dataset to identify missing values, duplicates, and inconsistent formats. Depending on the context, I may impute missing values using mean/median, flag them for review, or exclude them if theyโre not critical. For example, in an HR dataset, I used pandas to standardize date formats and fill missing department fields based on role titles.
2. Describe a time you built a dashboard that influenced a business decision
Answer:
At my previous role, I built a Power BI dashboard to track churn across customer segments. It revealed that users from a specific region had a 30% higher churn rate. This insight led the marketing team to launch a targeted retention campaign, reducing churn by 12% in the next quarter.
3. How do you approach a vague business question like โWhy are sales droppingโ
Answer:
I break it down by segmenting dataโregion, product, time periodโand look for anomalies or trends. I compare current vs. previous periods, analyze customer behavior, and check for external factors. In one case, I discovered that a drop in sales was due to a discontinued product line that hadnโt been flagged in reporting.
4. Whatโs your process for analyzing an A/B test
Answer:
I define the hypothesis, ensure randomization, and check sample sizes. Then I compare metrics like conversion rate between control and test groups using statistical tests (e.g., t-test or chi-square). I also calculate p-values and confidence intervals to determine significance. I once helped a product team validate a new checkout flow that increased conversions by 8%.
5. How do you ensure your analysis is understandable to non-technical stakeholders
Answer:
I focus on clarityโuse simple language, clean visuals, and highlight key takeaways. I avoid jargon and always tie insights to business impact. For example, instead of saying โstandard deviation,โ I might say โvariation in customer spending.โ
6. What tools do you use for forecasting and how do you validate your predictions
Answer:
I use Excel for quick models and Pythonโs statsmodels or Prophet for more robust forecasting. I validate predictions using historical data and metrics like RMSE or MAPE. In a recent project, I forecasted monthly sales and helped the inventory team reduce overstock by 15%.
7. How do you automate repetitive reporting tasks
Answer:
I use Python scripts with scheduled jobs or Power BIโs refresh features. In one case, I automated a weekly sales report using Google Sheets + Apps Script, saving 5 hours of manual work per week.
8. How do you prioritize multiple data requests from different teams
Answer:
I assess urgency, business impact, and effort required. I communicate clearly with stakeholders and use frameworks like ICE (Impact, Confidence, Effort) to align priorities. I also maintain a request tracker to manage expectations.
Double Tap โฅ๏ธ For More | 1 379 |
| 17 | ๐๐ธ 500$ FOR THE FIRST 500 WHO JOIN THE CHANNEL! ๐๐ธ
Join our channel today for free! Tomorrow it will cost 500$!
https://t.me/+BMtJPVwqRjo3ZGVi
You can join at this link! ๐๐
https://t.me/+BMtJPVwqRjo3ZGVi | 707 |
| 18 | ๐ง Advance SQL Interview Question โก
๐ Find the department with the highest total salary expense
Table: Employees
Columns:
employee_id , employee_name , department_id , salary
๐ Query:
WITH dept_salary AS (
SELECT department_id,
SUM(salary) AS total_salary
FROM Employees
GROUP BY department_id
)
SELECT department_id,
total_salary
FROM dept_salary
WHERE total_salary = (
SELECT MAX(total_salary)
FROM dept_salary
);
๐ฏ Why this question matters:
โ
Tests CTE + aggregation concepts
โ
Evaluates nested subquery understanding
๐ Pro Tip:
Using a CTE first makes complex aggregate queries much cleaner and easier to debug.
๐ฅ React โค๏ธ for more advanced SQL interview questions ๐ | 1 088 |
| 19 |  ๐ ๐๐ฅ๐๐ ๐๐ฒ๐ด๐ถ๐ป๐ป๐ฒ๐ฟ ๐ง๐ฒ๐ฐ๐ต ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ง๐ผ ๐จ๐ฝ๐ด๐ฟ๐ฎ๐ฑ๐ฒ ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ ๐ฅ
Still confused where to start in tech? ๐ค
These FREE beginner-friendly courses can help you build job-ready skills in 2026 ๐
โจ Learn in-demand skills like:
โ๏ธ Programming & Tech Basics
โ๏ธ Data & Digital Skills ๐
โ๏ธ Career-Boosting Concepts ๐ก
โ๏ธ Industry-Relevant Fundamentals
๐ฏ Beginner Friendly + FREE Certificates ๐
๐๐ป๐ฟ๐ผ๐น๐น ๐๐ผ๐ฟ ๐๐ฅ๐๐๐:
https://pdlink.in/4d4b1uK
๐ผ Perfect for Students, Freshers & Career Switchers | 1 096 |
| 20 | ๐ 5 Frequently Asked SQL Interview Q&A ๐ป๐
1๏ธโฃ Difference between RANK() and DENSE_RANK()?
โ
RANK() skips numbers after ties
โ
DENSE_RANK() does not skip numbers
Example: 95, 95, 90
RANK() โ 1,1,3
DENSE_RANK() โ 1,1,2
โ
2๏ธโฃ What is a Window Function?
๐ Performs calculations across rows without grouping them into one row.
Examples:
โ๏ธ ROW_NUMBER()
โ๏ธ RANK()
โ๏ธ LEAD()
โ๏ธ LAG()
โ
3๏ธโฃ ROW_NUMBER() vs RANK()?
๐ข ROW_NUMBER() gives unique numbers to every row.
๐ข RANK() gives same rank to duplicate values.
โ
4๏ธโฃ What is a Stored Procedure?
โ๏ธ A saved SQL query that can be reused anytime.
Benefits:
โ
Reusable
โ
Faster execution
โ
Better security
โ
5๏ธโฃ WHERE vs GROUP BY?
๐ WHERE filters rows
๐ GROUP BY groups rows for aggregation
๐ฅ React for more interview questions โฅ๏ธ | 1 243 |
