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 😄👍
👇👇
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 😄👍
👍3
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
*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
❤3
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
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
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
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
❤2
🚨 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
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
YouTube
Most SQL Developers Get This Wrong 🤯 | CTE vs Temp Table vs Subquery Explained
In this video, I explain the difference between CTE, Temp Table, Correlated Subquery, and Independent Subquery using the same average salary example.
Topics covered:
Independent subquery
Correlated subquery
CTE
Temp table
When to use what
SQL interview…
Topics covered:
Independent subquery
Correlated subquery
CTE
Temp table
When to use what
SQL interview…
❤2
SQL Junction pinned «🚨 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…»
SQL Junction
I have created this video and will post it in next week
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 ♥️
Please watch it and let me know in comments if you liked it
Keep supporting ,keep learning ♥️
❤3
📘 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 🚀
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 🚀
❤1👍1
Which of these is not always TRUE in Snowflake for query optimization?
Final Results
30%
Increasing Warehouse Size
45%
Clustering always improves performance
38%
Clustering Keys
15%
Result Cache
In my opinion the best answer here is option 2
Clustering does not always improver performance especially when you are dealing with some small dataset ,at that point ,manual clustering does not make sense
Clustering does not always improver performance especially when you are dealing with some small dataset ,at that point ,manual clustering does not make sense
👍2
Hey Guys
My apologies
I have been really busy these days,not getting enough time to focus on our community.
Stay tuned , I will be back with something interesting
My apologies
I have been really busy these days,not getting enough time to focus on our community.
Stay tuned , I will be back with something interesting
Here is a job opportunity for Airtel payments bank for Gurgoan
Role-Data Analytics
Level-A.M./Manager
Location-Gurgaon
Department- Finance BPA
Job Description-
1- Extract, analyze, and validate data from AWS databases using efficient and accurate SOL queries
2- Write optimized queries to join, aggregate, and transform large datasets into meaningful business insights through Python or SQL Languages,
3- Leverage Power BI to visualize data and deliver intuitive dashboards and reports for business stakeholders
4 Validate analytical outputs against source tables to ensure data accuracy and reliability
5- Support the BPA team with actionable insights to drive reven ue and cost planning discussions 6- Apply analytical techniques to identify trends, variances, and drivers impacting business performance
7- Amazon Qyciksight and Python knowledge would be an added advantage.
Role-Data Analytics
Level-A.M./Manager
Location-Gurgaon
Department- Finance BPA
Job Description-
1- Extract, analyze, and validate data from AWS databases using efficient and accurate SOL queries
2- Write optimized queries to join, aggregate, and transform large datasets into meaningful business insights through Python or SQL Languages,
3- Leverage Power BI to visualize data and deliver intuitive dashboards and reports for business stakeholders
4 Validate analytical outputs against source tables to ensure data accuracy and reliability
5- Support the BPA team with actionable insights to drive reven ue and cost planning discussions 6- Apply analytical techniques to identify trends, variances, and drivers impacting business performance
7- Amazon Qyciksight and Python knowledge would be an added advantage.
Let me know if anyone is looking for a job change
Can get you referred for this job opportunity
Ping me on linkedin
Can get you referred for this job opportunity
Ping me on linkedin
SQL Junction
Here is a job opportunity for Airtel payments bank for Gurgoan Role-Data Analytics Level-A.M./Manager Location-Gurgaon Department- Finance BPA Job Description- 1- Extract, analyze, and validate data from AWS databases using efficient and accurate SOL queries…
Hey guys
Reposting it
The minimum experience for this position is 1-1.5 years
This is a good opportunity offering good salary
Let me know if you are interested
Reposting it
The minimum experience for this position is 1-1.5 years
This is a good opportunity offering good salary
Let me know if you are interested
👍4❤1