YOU SHOULD WRITE CODE ON PAPER ๐IF U R BEGINNER ... HERE IS WHY ๐ค
If you're a beginner learning to code or learning a new programming language, I have seen many instructors suggest using VS Code because itโs full of features that make coding easier.
However, I would suggest not using VS Code or other editors with many features initially. Why? When I first started learning to code with HTML, I directly jumped to VS Code, which is mostly snippet-based. For example, when you press !, it gives you a prepared snippet of the metadata for your HTML document, so you donโt have to write it manually. But hereโs the problem: I still canโt remember what those few lines were about, and I still canโt write or recall them.
So the overall point is that, at the beginning stages, itโs better to learn the hard way to make things easier in the future.
Thatโs why I would suggest two ways:
1. Write code on paper (hard paper)
If you have the time, I suggest writing code with a pen and paper. (Now, donโt ask about the output; this is just for small codes and practice to build your concepts.)
2. Use Vim, Nano, Mousepad, or any else
You can use Vim while learning a new programming language because it doesnโt offer suggestions or extensions to make your work easier. Nano and Mousepad are similar in that almost.
Trust me, you will not forget the concepts you have written down.
Once you're confident, have built a solid foundation, and want to work on bigger projects, then go ahead and use automation. Full-featured editors like VS Code are great for that.
Overall:
If you're starting out and want a simple, fast editor for small tasks, Nano or Vim can be great options.
If you're working on bigger projects and want all the modern features, VS Code is the way to go. It provides everything you need to code efficiently and also has a low barrier to entry for.
Just my opinion for beginner programmers. You might not agree, but this is based on my own learning.
Agree: โค๏ธ
No: ๐
If you're a beginner learning to code or learning a new programming language, I have seen many instructors suggest using VS Code because itโs full of features that make coding easier.
However, I would suggest not using VS Code or other editors with many features initially. Why? When I first started learning to code with HTML, I directly jumped to VS Code, which is mostly snippet-based. For example, when you press !, it gives you a prepared snippet of the metadata for your HTML document, so you donโt have to write it manually. But hereโs the problem: I still canโt remember what those few lines were about, and I still canโt write or recall them.
So the overall point is that, at the beginning stages, itโs better to learn the hard way to make things easier in the future.
Thatโs why I would suggest two ways:
1. Write code on paper (hard paper)
If you have the time, I suggest writing code with a pen and paper. (Now, donโt ask about the output; this is just for small codes and practice to build your concepts.)
2. Use Vim, Nano, Mousepad, or any else
You can use Vim while learning a new programming language because it doesnโt offer suggestions or extensions to make your work easier. Nano and Mousepad are similar in that almost.
Trust me, you will not forget the concepts you have written down.
Once you're confident, have built a solid foundation, and want to work on bigger projects, then go ahead and use automation. Full-featured editors like VS Code are great for that.
Overall:
If you're starting out and want a simple, fast editor for small tasks, Nano or Vim can be great options.
If you're working on bigger projects and want all the modern features, VS Code is the way to go. It provides everything you need to code efficiently and also has a low barrier to entry for.
Just my opinion for beginner programmers. You might not agree, but this is based on my own learning.
Agree: โค๏ธ
No: ๐
โค13
๐๐ฅ๐๐ ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐ ๐ง๐ผ ๐๐ฒ๐ฎ๐ฟ๐ป ๐๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฒ๐
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๐ง Core Programming Concepts You Should Know ๐ป๐
These are the fundamental ideas behind all programming languages.
Understanding them properly builds strong logic and problem-solving skills.
Programming
Programming is the process of writing instructions that a computer can understand and execute. These instructions are written using programming languages like Python, JavaScript, Java, C++, etc.
The goal of programming is to:
โข automate tasks
โข process data
โข build software applications
โข control systems and devices
In simple terms, programming tells a computer what to do and how to do it.
Algorithm
An algorithm is a step-by-step method to solve a problem. It focuses on the logic behind solving a problem rather than the specific programming language.
Good algorithms should be:
โข Correct โ produce the right output
โข Efficient โ use minimal time and memory
โข Clear โ easy to understand
For example, searching for a number in a list or sorting data are common algorithm problems.
Flowchart
A flowchart is a diagram that visually represents the logic of a program. Instead of writing code directly, developers sometimes design the program flow using diagrams.
Common flowchart elements include:
โข Start / End symbols
โข Process blocks
โข Decision blocks
โข Arrows showing execution flow
Flowcharts help in planning program logic before coding.
Syntax
Syntax refers to the rules that define how code must be written in a programming language. Every programming language has its own syntax. If syntax rules are violated, the program will produce a syntax error and will not run.
Examples of syntax rules include:
โข correct use of keywords
โข proper structure of statements
โข correct punctuation and formatting
Learning syntax is similar to learning the grammar of a language.
Compilation
Compilation is the process of converting human-readable source code into machine code before execution. This is done by a program called a compiler.
Languages that use compilation include:
โข C
โข C++
โข Go
โข Rust
Compiled programs usually run faster because the code is already translated into machine instructions.
Interpretation
Interpretation is the process of executing code line by line using an interpreter instead of converting it beforehand. The interpreter reads the code and executes each instruction immediately.
Languages that commonly use interpretation include:
โข Python
โข JavaScript
โข Ruby
Interpreted languages are often easier for beginners because they allow quick testing and debugging.
โญ Key Idea
Programming concepts like algorithms, syntax, compilation, and interpretation form the foundation of software development. Once these basics are clear, learning any programming language becomes much easier.
Double Tap โฅ๏ธ For More
These are the fundamental ideas behind all programming languages.
Understanding them properly builds strong logic and problem-solving skills.
Programming
Programming is the process of writing instructions that a computer can understand and execute. These instructions are written using programming languages like Python, JavaScript, Java, C++, etc.
The goal of programming is to:
โข automate tasks
โข process data
โข build software applications
โข control systems and devices
In simple terms, programming tells a computer what to do and how to do it.
Algorithm
An algorithm is a step-by-step method to solve a problem. It focuses on the logic behind solving a problem rather than the specific programming language.
Good algorithms should be:
โข Correct โ produce the right output
โข Efficient โ use minimal time and memory
โข Clear โ easy to understand
For example, searching for a number in a list or sorting data are common algorithm problems.
Flowchart
A flowchart is a diagram that visually represents the logic of a program. Instead of writing code directly, developers sometimes design the program flow using diagrams.
Common flowchart elements include:
โข Start / End symbols
โข Process blocks
โข Decision blocks
โข Arrows showing execution flow
Flowcharts help in planning program logic before coding.
Syntax
Syntax refers to the rules that define how code must be written in a programming language. Every programming language has its own syntax. If syntax rules are violated, the program will produce a syntax error and will not run.
Examples of syntax rules include:
โข correct use of keywords
โข proper structure of statements
โข correct punctuation and formatting
Learning syntax is similar to learning the grammar of a language.
Compilation
Compilation is the process of converting human-readable source code into machine code before execution. This is done by a program called a compiler.
Languages that use compilation include:
โข C
โข C++
โข Go
โข Rust
Compiled programs usually run faster because the code is already translated into machine instructions.
Interpretation
Interpretation is the process of executing code line by line using an interpreter instead of converting it beforehand. The interpreter reads the code and executes each instruction immediately.
Languages that commonly use interpretation include:
โข Python
โข JavaScript
โข Ruby
Interpreted languages are often easier for beginners because they allow quick testing and debugging.
โญ Key Idea
Programming concepts like algorithms, syntax, compilation, and interpretation form the foundation of software development. Once these basics are clear, learning any programming language becomes much easier.
Double Tap โฅ๏ธ For More
โค15
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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
๐๐ฎ๐๐ฎ ๐๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ช๐ถ๐๐ต ๐๐๐
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
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๐ฒ Save & Share with Friends Preparing for Data Science & AI Jobs!
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!
๐1
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๐ฒ Save & Share with friends preparing for tech careers! ๐ฅ
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โ 100% FREE YouTube Learning
โ Beginner-Friendly Programming Tutorials
โ Learn Popular & In-Demand Tech Skills
โ Study at Your Own Pace
โ Build a Strong Foundation for Coding Interviews
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โก Your coding journey can start todayโcompletely FREE!
โ 100% FREE YouTube Learning
โ Beginner-Friendly Programming Tutorials
โ Learn Popular & In-Demand Tech Skills
โ Study at Your Own Pace
โ Build a Strong Foundation for Coding Interviews
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โก Your coding journey can start todayโcompletely FREE!
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โ 100% FREE Learning Experience
โ Short Programs โ Approximately 4โ6 Hours
โ Practical, Real-World Tasks
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โ Certificate Opportunities for Your Resume & LinkedIn
โ No Traditional Interview Process
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โก Don't wait for your first job to start gaining practical experience!
โ 100% FREE Learning Experience
โ Short Programs โ Approximately 4โ6 Hours
โ Practical, Real-World Tasks
โ Self-Paced & Online
โ Certificate Opportunities for Your Resume & LinkedIn
โ No Traditional Interview Process
๐ ๐๐ ๐ฝ๐น๐ผ๐ฟ๐ฒ ๐ง๐๐ง๐ ๐๐ฅ๐๐ ๐ ๐ถ๐ฐ๐ฟ๐ผ-๐๐ป๐๐ฒ๐ฟ๐ป๐๐ต๐ถ๐ฝ๐๐:-
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โก Don't wait for your first job to start gaining practical experience!
โค2
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
๐ ๐๐๐ฅ๐ข๐ฆ๐ข๐๐ง ๐๐ฅ๐๐ ๐๐๐ง๐ ๐ฆ๐๐๐๐ก๐๐ ๐ฅ๐๐ฆ๐ข๐จ๐ฅ๐๐๐ฆ ๐ฎ๐ฌ๐ฎ๐ฒ! ๐
Microsoft offers valuable FREE learning resources to help you develop in-demand technical skills! ๐ป
โ 100% FREE Learning Resources
โ Beginner-Friendly Tutorials
โ Self-Paced Learning
โ Practical Skills for Real-World Projects
โ Useful for Data Analytics & Data Science Career Preparation
๐ ๐๐ฐ๐ฐ๐ฒ๐๐ ๐๐๐ ๐ฐ ๐๐ฅ๐๐ ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐ ๐:-
https://pdlink.in/4k6ylNq
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
โ 100% FREE Learning Resources
โ Beginner-Friendly Tutorials
โ Self-Paced Learning
โ Practical Skills for Real-World Projects
โ Useful for Data Analytics & Data Science Career Preparation
๐ ๐๐ฐ๐ฐ๐ฒ๐๐ ๐๐๐ ๐ฐ ๐๐ฅ๐๐ ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐ ๐:-
https://pdlink.in/4k6ylNq
โก Your Data Science journey can start today โ completely FREE!
โค1
๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ & ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐๐ฅ๐๐ ๐ข๐ป๐น๐ถ๐ป๐ฒ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐ฐ๐น๐ฎ๐๐ ๐
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
๐ ๐ฅ๐ฒ๐ด๐ถ๐๐๐ฒ๐ฟ ๐๐ผ๐ฟ ๐๐ฅ๐๐๐ :-
https://pdlink.in/4i8MKGn
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
๐ ๐ฅ๐ฒ๐ด๐ถ๐๐๐ฒ๐ฟ ๐๐ผ๐ฟ ๐๐ฅ๐๐๐ :-
https://pdlink.in/4i8MKGn
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
* 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
Double Tap โฅ๏ธ For More
* 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
* 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
Double Tap โฅ๏ธ For More
โค5
๐๐ ๐๐ฆ๐ง๐๐ฅ ๐๐ซ๐๐๐ ๐๐ข๐ฅ ๐๐ฅ๐๐ ๐๐ก ๐ฎ๐ฌ๐ฎ๐ฒ! ๐
Discover 4 FREE Websites to learn Microsoft Excel from beginner to advanced level! ๐
๐ฅ FREE Learning Resources
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๐ฅ Learn Anytime, Anywhere
๐ ๐๐ถ๐ป๐ธ๐:-
https://pdlink.in/4jDfcCP
โก One powerful skill can open doors to multiple career opportunities!
Discover 4 FREE Websites to learn Microsoft Excel from beginner to advanced level! ๐
๐ฅ FREE Learning Resources
๐ฅ Beginner to Advanced Tutorials
๐ฅ Practical Examples & Exercises
๐ฅ Learn Anytime, Anywhere
๐ ๐๐ถ๐ป๐ธ๐:-
https://pdlink.in/4jDfcCP
โก One powerful skill can open doors to multiple career opportunities!