I feel confused with correlated subqueries till date 😬

Since most of folks mentioned about CTEs and Subqueries here .

I will prepare a detailed video covering only CTEs and Subqueries soon🙂

🚀 2,500 on YouTube!

From 0 to 2.5K — built purely on SQL, data engineering, and consistency.

No shortcuts. Just showing up and sharing what I know.

To everyone who subscribed, watched, liked, or shared — thank you 🙏

Next goal is 5k

👉 Better content
👉 More real-world SQL
👉 More interview-focused learning

Let’s keep building together 🚀

If you still have not subscribed,please go ahead and subscribe today
YouTube.com/@adityabansal095

I have created this video and will post it in next week

Reposting

🚨 New Video is LIVE! (SQL Interview Alert) 🚨

Most candidates fail these SQL questions…
Not because they’re hard —
But because they test how you think, not just syntax 👀

I’ve compiled Top 5 Hard SQL Interview Questions
that are actually asked in real interviews.

👉 Can YOU solve them all?

🎥 Watch now:
👉 TOP 5 HARD SQL INTERVIEW QUESTIONS | MOST CANDIDATES FAIL THESE QUESTIONS
https://youtu.be/mptGQeGlMWc

Comment honestly after watching:
How many did you get right? (1–5) 😏

⸻

🔥 If you’re preparing for:
• Data Analyst roles
• Data Engineering interviews
• SQL rounds

You don’t want to miss this.

#sql #dataengineer #datanalysis #sqlinterviewquestions

Complete Data Science Roadmap  
👇👇  

1. Introduction to Data Science  
- Overview and Importance
- Data Science Lifecycle
- Key Roles (Data Scientist, Analyst, Engineer)

2. Mathematics and Statistics  
- Probability and Distributions
- Descriptive/Inferential Statistics
- Hypothesis Testing
- Linear Algebra and Calculus Basics

3. Programming Languages  
- Python: NumPy, Pandas, Matplotlib
- R: dplyr, ggplot2
- SQL: Joins, Aggregations, CRUD

4. Data Collection & Preprocessing  
- Data Cleaning and Wrangling
- Handling Missing Data
- Feature Engineering

5. Exploratory Data Analysis (EDA)  
- Summary Statistics
- Data Visualization (Histograms, Box Plots, Correlation)

6. Machine Learning  
- Supervised (Linear/Logistic Regression, Decision Trees)
- Unsupervised (K-Means, PCA)
- Model Selection and Cross-Validation

7. Advanced Machine Learning  
- SVM, Random Forests, Boosting
- Neural Networks Basics

8. Deep Learning  
- Neural Networks Architecture
- CNNs for Image Data
- RNNs for Sequential Data

9. Natural Language Processing (NLP)  
- Text Preprocessing
- Sentiment Analysis
- Word Embeddings (Word2Vec)

10. Data Visualization & Storytelling  
- Dashboards (Tableau, Power BI)
- Telling Stories with Data

11. Model Deployment  
- Deploy with Flask or Django
- Monitoring and Retraining Models

12. Big Data & Cloud  
- Introduction to Hadoop, Spark
- Cloud Tools (AWS, Google Cloud)

13. Data Engineering Basics  
- ETL Pipelines
- Data Warehousing (Redshift, BigQuery)

14. Ethics in Data Science  
- Ethical Data Usage
- Bias in AI Models

15. Tools for Data Science  
- Jupyter, Git, Docker

16. Career Path & Certifications  
- Building a Data Science Portfolio

Like if you need similar content 😄👍

SQL & Tableau Developer / BI Analyst*

*Position:* SQL & Tableau Developer / BI Analyst

*Experience Required:* Minimum 6–8+ Years

*Duration:* 6–12 Months (Contract)

*Work Mode:* Remote (Dedicated Resource)

*Working Hours:* 3:00 PM to 12:00 AM IST (Canadian Time Alignment)

*Role Overview*

We are seeking an experienced SQL and Tableau professional who can effectively engage with clients, understand their business requirements, and deliver high-quality dashboards and analytics solutions.

*Key Responsibilities*

* Engage with clients to gather, analyze, and refine business requirements
* Design and develop interactive dashboards and reports using *Tableau*
* Write efficient and optimized *SQL queries* for data extraction and transformation
* Translate business needs into actionable data insights and visualizations
* Deliver high-quality outputs within timelines
* Maintain and enhance existing dashboards and reporting systems
* Ensure data accuracy and visualization best practices

*Required Skills & Qualifications*

* 6–8+ years of experience in SQL and BI/Analytics
* Strong expertise in *SQL* (mandatory)
* Hands-on experience with *Tableau* (mandatory)
* Proven experience in client interaction and requirement gathering
* Strong communication and stakeholder management skills
* Ability to independently drive deliverables

*Preferred Skills*

* Exposure to data warehousing concepts
* Experience working in client-facing or consulting roles

*Engagement Requirements*

* Full-time dedicated resource (no part-time engagement)
* Comfortable working in Canadian time zone (3 PM – 12 AM IST)
* Strong ownership and delivery focus

#jobalert #jobopportunity #hiring

Please ping me on linkedin urgently if you are interested in this opportunity

Linkedin.com/in/adityabansal095
Contractual job has many benefits than a permanent role

I can discuss more on this ina connect
All said this is a great opportunity

Reposting this

SQL & Tableau Developer / BI Analyst*

*Position:* SQL & Tableau Developer / BI Analyst

*Experience Required:* Minimum 6–8+ Years

*Duration:* 6–12 Months (Contract)

*Work Mode:* Remote (Dedicated Resource)

*Working Hours:* 3:00 PM to 12:00 AM IST (Canadian Time Alignment)

*Role Overview*

We are seeking an experienced SQL and Tableau professional who can effectively engage with clients, understand their business requirements, and deliver high-quality dashboards and analytics solutions.

*Key Responsibilities*

* Engage with clients to gather, analyze, and refine business requirements
* Design and develop interactive dashboards and reports using *Tableau*
* Write efficient and optimized *SQL queries* for data extraction and transformation
* Translate business needs into actionable data insights and visualizations
* Deliver high-quality outputs within timelines
* Maintain and enhance existing dashboards and reporting systems
* Ensure data accuracy and visualization best practices

*Required Skills & Qualifications*

* 6–8+ years of experience in SQL and BI/Analytics
* Strong expertise in *SQL* (mandatory)
* Hands-on experience with *Tableau* (mandatory)
* Proven experience in client interaction and requirement gathering
* Strong communication and stakeholder management skills
* Ability to independently drive deliverables

*Preferred Skills*

* Exposure to data warehousing concepts
* Experience working in client-facing or consulting roles

*Engagement Requirements*

* Full-time dedicated resource (no part-time engagement)
* Comfortable working in Canadian time zone (3 PM – 12 AM IST)
* Strong ownership and delivery focus

#jobalert #jobopportunity #hiring

Please ping me on linkedin urgently if you are interested in this opportunity

Linkedin.com/in/adityabansal095
Contractual job has many benefits than a permanent role

I can discuss more on this ina connect
All said this is a great opportunity

The expected salary for this is around 1.3 Lakhs per month

🚨 New Video is LIVE — A Concept Most SQL Developers Get Wrong! 🚨

CTE, Temp Table, hSubquery…
Most people know them.
But very few know when to actually use what 👀

In this video, I’ve explained:

✅ Independent vs Correlated Subquery
✅ CTE vs Temp Table
✅ Which one executes first
✅ Which approach is best for interviews & real projects

If you’re preparing for:
• SQL interviews
• Data Analyst / Data Engineer roles
• Real-world SQL work

👉 This video will genuinely clear your confusion.

🎥 Watch now:
👉 Most SQL Developers Get This Wrong 🤯 | CTE vs Temp Table vs Subquery Explained
https://youtu.be/d5Amr7D-5tY

⚠️ Challenge for you:
After watching, tell me in comments —

Which one do you use the most: CTE / Temp Table / Subquery?

Let’s see who really understands SQL 🔥

#sql #dataengineer #datanalysis #sqlinterviewquestions

As promised previously I am back with this

Please watch it and let me know in comments if you liked it

Keep supporting ,keep learning ♥️

📘 Struggling with SQL? Maybe it’s not you… it’s how you’re learning.

Most people jump between random tutorials and get stuck.

But SQL becomes much easier when you follow a structured path:

👉 Basics → Queries → Joins → Indexes → Real-world concepts

This SQL handbook does exactly that — clean, simple, and beginner-friendly.

💡 Stop collecting resources.
Start following one clear roadmap.

Consistency > random learning.

If you’re serious about Data Engineering, start treating SQL like a skill — not just syntax 🚀