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
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
โค7
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Future Ready Data Science and AI Skills You Build
->Build Python, Machine Learning, and AI Skills
->Get Mentored by Industry Experts
->Practice with Mock Interviews
->Ace Your Placements & Land Dream Tech Job
๐ค 500+ Partner Companies |๐ 2000+ Students Placed
๐ ๐ฅ๐ฒ๐ด๐ถ๐๐๐ฒ๐ฟ ๐ก๐ผ๐ ๐ :-
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๐ฒ Save & Share with Friends Preparing for Data Science & AI Jobs!
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๐ How to Choose Your Development Path ๐จโ๐ป๐ฅ
Programming is a huge field.
Trying to learn everything at once leads to confusion and burnout.
Instead, choose one path, master it, build projects, and become an expert.
๐ง Why Choosing a Path is Important
Many beginners make this mistake:
โ Python today
โ Web Development tomorrow
โ AI next week
โ Cybersecurity next month
Result: Learned many things, Mastered nothing
The better approach is:
โข Choose One Path
โข Learn Deeply
โข Build Projects
โข Get Experience
โข Get Hired
๐ PATH 1: Web Development
Web Developers build websites and web applications.
Everything you use online is built by web developers.
Examples: E-commerce Websites, Social Media Platforms, Banking Portals, Learning Platforms, Business Websites
๐ง What You'll Learn
Frontend Development Frontend is what users see.
Learn: HTML, CSS, JavaScript, React
Backend Development Backend handles business logic and databases.
Learn: Node.js, Express.js, Django
Databases Learn: MySQL, PostgreSQL, MongoDB
๐ Technologies React, Node.js, Django, MongoDB
๐ Example Projects Portfolio Website, Blog Application, E-commerce Website, Chat Application, Food Delivery Platform
๐ผ Career Roles Frontend Developer, Backend Developer, Full Stack Developer, Software Engineer
๐ PATH 2: Data Science & AI
If you love data, statistics, automation, and intelligent systems, this path is for you.
AI is transforming industries worldwide.
๐ง What You'll Learn
Data Analysis Learn: Excel, SQL, Python, Data Visualization
Machine Learning Learn: Regression, Classification, Clustering
Deep Learning Learn: Neural Networks, Computer Vision, NLP
๐ Technologies Pandas, NumPy, Scikit-learn, TensorFlow
๐ Example Projects Sales Dashboard, Recommendation System, Sentiment Analysis, AI Chatbot, Stock Prediction Model
๐ผ Career Roles Data Analyst, Data Scientist, Machine Learning Engineer, AI Engineer
๐ฑ PATH 3: App Development
App Developers build mobile applications.
Examples: WhatsApp, Instagram, Uber, Paytm
๐ง What You'll Learn
Android Development Learn: Kotlin, Android Studio
Cross-Platform Development Learn: Flutter, React Native
APIs & Databases Learn: REST APIs, Firebase, MySQL
๐ Technologies Flutter, React Native, Kotlin
๐ Example Projects Expense Tracker App, Food Ordering App, Fitness Tracker, Chat App, E-learning App
๐ผ Career Roles Android Developer, iOS Developer, Mobile App Developer
โ๏ธ PATH 4: Cloud & DevOps
Cloud and DevOps professionals manage deployment and infrastructure.
They ensure applications run smoothly at scale.
๐ง Learn Linux, Networking Basics, Docker, Kubernetes, AWS
๐ Technologies Docker, AWS, Kubernetes
๐ผ Career Roles DevOps Engineer, Cloud Engineer, Site Reliability Engineer
๐ PATH 5: Cybersecurity
Cybersecurity professionals protect systems from attacks.
With increasing cyber threats, demand is growing rapidly.
๐ง Learn Networking, Linux, Ethical Hacking, Penetration Testing, Security Tools
๐ Technologies Kali Linux, Wireshark
Programming is a huge field.
Trying to learn everything at once leads to confusion and burnout.
Instead, choose one path, master it, build projects, and become an expert.
๐ง Why Choosing a Path is Important
Many beginners make this mistake:
โ Python today
โ Web Development tomorrow
โ AI next week
โ Cybersecurity next month
Result: Learned many things, Mastered nothing
The better approach is:
โข Choose One Path
โข Learn Deeply
โข Build Projects
โข Get Experience
โข Get Hired
๐ PATH 1: Web Development
Web Developers build websites and web applications.
Everything you use online is built by web developers.
Examples: E-commerce Websites, Social Media Platforms, Banking Portals, Learning Platforms, Business Websites
๐ง What You'll Learn
Frontend Development Frontend is what users see.
Learn: HTML, CSS, JavaScript, React
Backend Development Backend handles business logic and databases.
Learn: Node.js, Express.js, Django
Databases Learn: MySQL, PostgreSQL, MongoDB
๐ Technologies React, Node.js, Django, MongoDB
๐ Example Projects Portfolio Website, Blog Application, E-commerce Website, Chat Application, Food Delivery Platform
๐ผ Career Roles Frontend Developer, Backend Developer, Full Stack Developer, Software Engineer
๐ PATH 2: Data Science & AI
If you love data, statistics, automation, and intelligent systems, this path is for you.
AI is transforming industries worldwide.
๐ง What You'll Learn
Data Analysis Learn: Excel, SQL, Python, Data Visualization
Machine Learning Learn: Regression, Classification, Clustering
Deep Learning Learn: Neural Networks, Computer Vision, NLP
๐ Technologies Pandas, NumPy, Scikit-learn, TensorFlow
๐ Example Projects Sales Dashboard, Recommendation System, Sentiment Analysis, AI Chatbot, Stock Prediction Model
๐ผ Career Roles Data Analyst, Data Scientist, Machine Learning Engineer, AI Engineer
๐ฑ PATH 3: App Development
App Developers build mobile applications.
Examples: WhatsApp, Instagram, Uber, Paytm
๐ง What You'll Learn
Android Development Learn: Kotlin, Android Studio
Cross-Platform Development Learn: Flutter, React Native
APIs & Databases Learn: REST APIs, Firebase, MySQL
๐ Technologies Flutter, React Native, Kotlin
๐ Example Projects Expense Tracker App, Food Ordering App, Fitness Tracker, Chat App, E-learning App
๐ผ Career Roles Android Developer, iOS Developer, Mobile App Developer
โ๏ธ PATH 4: Cloud & DevOps
Cloud and DevOps professionals manage deployment and infrastructure.
They ensure applications run smoothly at scale.
๐ง Learn Linux, Networking Basics, Docker, Kubernetes, AWS
๐ Technologies Docker, AWS, Kubernetes
๐ผ Career Roles DevOps Engineer, Cloud Engineer, Site Reliability Engineer
๐ PATH 5: Cybersecurity
Cybersecurity professionals protect systems from attacks.
With increasing cyber threats, demand is growing rapidly.
๐ง Learn Networking, Linux, Ethical Hacking, Penetration Testing, Security Tools
๐ Technologies Kali Linux, Wireshark
โค1
๐ผ Career Roles Security Analyst, Penetration Tester, Security Engineer
๐ฎ PATH 6: Game Development
For those passionate about games.
๐ง Learn C#, Unity, Unreal Engine
๐ Technologies Unity, Unreal Engine
๐ผ Career Roles Game Developer, Gameplay Programmer, Graphics Programmer
๐ How to Choose the Right Path
Ask yourself:
Do you enjoy building websites ๐ Choose Web Development
Do you enjoy data and analytics ๐ Choose Data Science & AI
Do you enjoy mobile apps ๐ Choose App Development
Do you enjoy servers and infrastructure ๐ Choose Cloud & DevOps
Do you enjoy security and hacking ๐ Choose Cybersecurity
Do you enjoy games ๐ Choose Game Development
๐ฅ Most Beginner-Friendly Paths
1๏ธโฃ Web Development
2๏ธโฃ Data Analytics / Data Science
3๏ธโฃ App Development
These paths have abundant learning resources, projects, and job opportunities.
โ ๏ธ Common Mistakes
โ Following trends blindly
โ Switching paths every month
โ Learning multiple domains simultaneously
โ Avoiding projects
๐ Final Advice
Your first path does not have to be your last path.
Many professionals start as: Web Developer to AI Engineer, Data Analyst to Data Scientist, App Developer to Full Stack Developer
The important thing is to pick one path and commit to it.
Focus > Consistency > Projects > Experience > Success
๐ Double Tap โค๏ธ For More
๐ฎ PATH 6: Game Development
For those passionate about games.
๐ง Learn C#, Unity, Unreal Engine
๐ Technologies Unity, Unreal Engine
๐ผ Career Roles Game Developer, Gameplay Programmer, Graphics Programmer
๐ How to Choose the Right Path
Ask yourself:
Do you enjoy building websites ๐ Choose Web Development
Do you enjoy data and analytics ๐ Choose Data Science & AI
Do you enjoy mobile apps ๐ Choose App Development
Do you enjoy servers and infrastructure ๐ Choose Cloud & DevOps
Do you enjoy security and hacking ๐ Choose Cybersecurity
Do you enjoy games ๐ Choose Game Development
๐ฅ Most Beginner-Friendly Paths
1๏ธโฃ Web Development
2๏ธโฃ Data Analytics / Data Science
3๏ธโฃ App Development
These paths have abundant learning resources, projects, and job opportunities.
โ ๏ธ Common Mistakes
โ Following trends blindly
โ Switching paths every month
โ Learning multiple domains simultaneously
โ Avoiding projects
๐ Final Advice
Your first path does not have to be your last path.
Many professionals start as: Web Developer to AI Engineer, Data Analyst to Data Scientist, App Developer to Full Stack Developer
The important thing is to pick one path and commit to it.
Focus > Consistency > Projects > Experience > Success
๐ Double Tap โค๏ธ For More
โค2
Forwarded from Data Science & Machine Learning
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โก Your Data Science journey can start today โ completely FREE!
Microsoft offers valuable FREE learning resources to help you develop in-demand technical skills! ๐ป
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โ Practical Skills for Real-World Projects
โ Useful for Data Analytics & Data Science Career Preparation
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Eligibility :- Students โข Freshers โข Working Professionals
๐ Date:- 23 October 2026
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๐ข Share this opportunity with your friends and classmates.
Build a strong foundation in Data Science .Explore Machine Learning and Deep Learning
Eligibility :- Students โข Freshers โข Working Professionals
๐ Date:- 23 October 2026
โฐ Time:- 7:00 PMโ9:00 PM IST
๐ป Mode:- Online
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๐ข Share this opportunity with your friends and classmates.
FREE Resources to Learn Artificial Intelligence ๐ฅ
* Python โ python.org/doc
* Math for AI โ khanacademy.org/math/statisticsโprobability
* Machine Learning โ scikitโlearn.org/stable
* Deep Learning โ pytorch.org/tutorials
* Generative AI โ google.com/ai/learnโaiโskills
* NLP (Natural Language Processing) โ huggingface.co/learn/nlpโcourse
* Reinforcement Learning โ openai.com/research
* AI Ethics โ resourcelist.ai/aiโethics
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Double Tap โฅ๏ธ For More
* Python โ python.org/doc
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* Machine Learning โ scikitโlearn.org/stable
* Deep Learning โ pytorch.org/tutorials
* Generative AI โ google.com/ai/learnโaiโskills
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* Reinforcement Learning โ openai.com/research
* AI Ethics โ resourcelist.ai/aiโethics
* AI Research โ paperswithcode.com
* AI Projects โ kaggle.com/learn/ai
* AI Learning Hub โ learn.microsoft.com/enโus/ai
* GitHub AI List โ github.com/mrsaeeddev/freeโaiโresources
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โค7
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๐ฅ Useful for Data Science & Backend Development
๐ฅ Practice Real-World Database Queries
๐ฅ Strengthen Your Technical Interview Skills
๐ฏ Perfect For:- Students | Freshers | Job Seekers | Working Professionals
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๐ SAVE this post & SHARE it with friends preparing for tech careers!
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Phase 1: Basics & Fundamentals (1-2 Months)
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