Forwarded from Data Science & Machine Learning
🎓 𝗟𝗲𝗮𝗿𝗻 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗳𝗿𝗼𝗺 𝗛𝗮𝗿𝘃𝗮𝗿𝗱, 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱, 𝗠𝗜𝗧 & 𝗚𝗼𝗼𝗴𝗹𝗲😍
Why pay thousands when you can access world-class Computer Science courses for free? 🌐
Top institutions like Harvard, Stanford, MIT, and Google offer high-quality learning resources to help you master in-demand tech skills👨🎓📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3ZyQpFd
Perfect for students, self-learners, and career switchers✅️
Why pay thousands when you can access world-class Computer Science courses for free? 🌐
Top institutions like Harvard, Stanford, MIT, and Google offer high-quality learning resources to help you master in-demand tech skills👨🎓📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3ZyQpFd
Perfect for students, self-learners, and career switchers✅️
❤1
What is the difference between data scientist, data engineer, data analyst and business intelligence?
🧑🔬 Data Scientist
Focus: Using data to build models, make predictions, and solve complex problems.
Cleans and analyzes data
Builds machine learning models
Answers “Why is this happening?” and “What will happen next?”
Works with statistics, algorithms, and coding (Python, R)
Example: Predict which customers are likely to cancel next month
🛠️ Data Engineer
Focus: Building and maintaining the systems that move and store data.
Designs and builds data pipelines (ETL/ELT)
Manages databases, data lakes, and warehouses
Ensures data is clean, reliable, and ready for others to use
Uses tools like SQL, Airflow, Spark, and cloud platforms (AWS, Azure, GCP)
Example: Create a system that collects app data every hour and stores it in a warehouse
📊 Data Analyst
Focus: Exploring data and finding insights to answer business questions.
Pulls and visualizes data (dashboards, reports)
Answers “What happened?” or “What’s going on right now?”
Works with SQL, Excel, and tools like Tableau or Power BI
Less coding and modeling than a data scientist
Example: Analyze monthly sales and show trends by region
📈 Business Intelligence (BI) Professional
Focus: Helping teams and leadership understand data through reports and dashboards.
Designs dashboards and KPIs (key performance indicators)
Translates data into stories for non-technical users
Often overlaps with data analyst role but more focused on reporting
Tools: Power BI, Looker, Tableau, Qlik
Example: Build a dashboard showing company performance by department
🧩 Summary Table
Data Scientist - What will happen? Tools: Python, R, ML tools, predictions & models
Data Engineer - How does the data move and get stored? Tools: SQL, Spark, cloud tools, infrastructure & pipelines
Data Analyst - What happened? Tools: SQL, Excel, BI tools, reports & exploration
BI Professional - How can we see business performance clearly? Tools: Power BI, Tableau, dashboards & insights for decision-makers
🎯 In short:
Data Engineers build the roads.
Data Scientists drive smart cars to predict traffic.
Data Analysts look at traffic data to see patterns.
BI Professionals show everyone the traffic report on a screen.
🧑🔬 Data Scientist
Focus: Using data to build models, make predictions, and solve complex problems.
Cleans and analyzes data
Builds machine learning models
Answers “Why is this happening?” and “What will happen next?”
Works with statistics, algorithms, and coding (Python, R)
Example: Predict which customers are likely to cancel next month
🛠️ Data Engineer
Focus: Building and maintaining the systems that move and store data.
Designs and builds data pipelines (ETL/ELT)
Manages databases, data lakes, and warehouses
Ensures data is clean, reliable, and ready for others to use
Uses tools like SQL, Airflow, Spark, and cloud platforms (AWS, Azure, GCP)
Example: Create a system that collects app data every hour and stores it in a warehouse
📊 Data Analyst
Focus: Exploring data and finding insights to answer business questions.
Pulls and visualizes data (dashboards, reports)
Answers “What happened?” or “What’s going on right now?”
Works with SQL, Excel, and tools like Tableau or Power BI
Less coding and modeling than a data scientist
Example: Analyze monthly sales and show trends by region
📈 Business Intelligence (BI) Professional
Focus: Helping teams and leadership understand data through reports and dashboards.
Designs dashboards and KPIs (key performance indicators)
Translates data into stories for non-technical users
Often overlaps with data analyst role but more focused on reporting
Tools: Power BI, Looker, Tableau, Qlik
Example: Build a dashboard showing company performance by department
🧩 Summary Table
Data Scientist - What will happen? Tools: Python, R, ML tools, predictions & models
Data Engineer - How does the data move and get stored? Tools: SQL, Spark, cloud tools, infrastructure & pipelines
Data Analyst - What happened? Tools: SQL, Excel, BI tools, reports & exploration
BI Professional - How can we see business performance clearly? Tools: Power BI, Tableau, dashboards & insights for decision-makers
🎯 In short:
Data Engineers build the roads.
Data Scientists drive smart cars to predict traffic.
Data Analysts look at traffic data to see patterns.
BI Professionals show everyone the traffic report on a screen.
❤2
Forwarded from SQL Programming Resources
𝗣𝗿𝗲𝗽𝗮𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮𝗻 𝗔𝗺𝗮𝘇𝗼𝗻 𝗗𝗮𝘁𝗮 𝗥𝗼𝗹𝗲? 𝗦𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝗧𝗼𝗽 𝗦𝗤𝗟 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀😍
💼 Why SQL Is Crucial for Amazon Interviews🗣
If you’re applying for a data analyst, data engineer, or business analyst role at Amazon, expect SQL to be a major part of the interview process👨💻📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jrLrRy
Practicing real Amazon SQL interview questions is the key to success✅️
💼 Why SQL Is Crucial for Amazon Interviews🗣
If you’re applying for a data analyst, data engineer, or business analyst role at Amazon, expect SQL to be a major part of the interview process👨💻📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jrLrRy
Practicing real Amazon SQL interview questions is the key to success✅️
❤1
𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝟮𝘆𝗿+ 𝗘𝘅𝗽 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹𝘀 😍
Siemens :- https://pdlink.in/4kPP6tx
JP Morgan :- https://pdlink.in/3Frgm2C
Orange :- https://pdlink.in/43yatKg
PhonePe :- https://pdlink.in/4kOTfOj
Oracle :- https://pdlink.in/4kQLFCU
Walmart :- https://pdlink.in/4kreO7J
Amazon :- https://pdlink.in/4jzo88g
Apply before the link expires💫
Siemens :- https://pdlink.in/4kPP6tx
JP Morgan :- https://pdlink.in/3Frgm2C
Orange :- https://pdlink.in/43yatKg
PhonePe :- https://pdlink.in/4kOTfOj
Oracle :- https://pdlink.in/4kQLFCU
Walmart :- https://pdlink.in/4kreO7J
Amazon :- https://pdlink.in/4jzo88g
Apply before the link expires💫
Complete 14-day roadmap to learn SQL learning:
Day 1: Introduction to Databases
- Understand the concept of databases and their importance.
- Learn about relational databases and SQL.
- Explore the basic structure of SQL queries.
Day 2: Basic SQL Syntax
- Learn SQL syntax: statements, clauses, and keywords.
- Understand the SELECT statement for retrieving data.
- Practice writing basic SELECT queries with conditions and filters.
Day 3: Retrieving Data from Multiple Tables
- Learn about joins: INNER JOIN, LEFT JOIN, RIGHT JOIN.
- Understand how to retrieve data from multiple tables using joins.
- Practice writing queries involving multiple tables.
Day 4: Aggregate Functions
- Learn about aggregate functions: COUNT, SUM, AVG, MIN, MAX.
- Understand how to use aggregate functions to perform calculations on data.
- Practice writing queries with aggregate functions.
Day 5: Subqueries
- Learn about subqueries and their role in SQL.
- Understand how to use subqueries in SELECT, WHERE, and FROM clauses.
- Practice writing queries with subqueries.
Day 6: Data Manipulation Language (DML)
- Learn about DML commands: INSERT, UPDATE, DELETE.
- Understand how to add, modify, and delete data in a database.
- Practice writing DML statements.
Day 7: Data Definition Language (DDL)
- Learn about DDL commands: CREATE TABLE, ALTER TABLE, DROP TABLE.
- Understand constraints: PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL.
- Practice designing database schemas and creating tables.
Day 8: Data Control Language (DCL)
- Learn about DCL commands: GRANT, REVOKE for managing user permissions.
- Understand how to control access to database objects.
- Practice granting and revoking permissions.
Day 9: Transactions
- Understand the concept of transactions in SQL.
- Learn about transaction control commands: COMMIT, ROLLBACK.
- Practice managing transactions.
Day 10: Views
- Learn about views and their benefits.
- Understand how to create, modify, and drop views.
- Practice creating views.
Day 11: Indexes
- Learn about indexes and their role in database optimization.
- Understand different types of indexes (e.g., B-tree, hash).
- Practice creating and managing indexes.
Day 12: Optimization Techniques
- Explore optimization techniques such as query tuning and normalization.
- Understand the importance of database design for optimization.
- Practice optimizing SQL queries.
Day 13: Review and Practice
- Review all concepts covered in the previous days.
- Work on sample projects or exercises to reinforce learning.
- Take practice quizzes or tests.
Day 14: Final Review and Projects
- Review all concepts learned throughout the 14 days.
- Work on a final project to apply SQL knowledge.
- Seek out additional resources or tutorials if needed.
Here are some practical SQL syntax examples for each day of your learning journey:
Day 1: Introduction to Databases
- Syntax to select all columns from a table:
Day 2: Basic SQL Syntax
- Syntax to select specific columns from a table:
Day 3: Retrieving Data from Multiple Tables
- Syntax for INNER JOIN to retrieve data from two tables:
Day 4: Aggregate Functions
- Syntax for COUNT to count the number of rows in a table:
Day 5: Subqueries
- Syntax for using a subquery in the WHERE clause:
Day 6: Data Manipulation Language (DML)
- Syntax for INSERT to add data into a table:
Day 1: Introduction to Databases
- Understand the concept of databases and their importance.
- Learn about relational databases and SQL.
- Explore the basic structure of SQL queries.
Day 2: Basic SQL Syntax
- Learn SQL syntax: statements, clauses, and keywords.
- Understand the SELECT statement for retrieving data.
- Practice writing basic SELECT queries with conditions and filters.
Day 3: Retrieving Data from Multiple Tables
- Learn about joins: INNER JOIN, LEFT JOIN, RIGHT JOIN.
- Understand how to retrieve data from multiple tables using joins.
- Practice writing queries involving multiple tables.
Day 4: Aggregate Functions
- Learn about aggregate functions: COUNT, SUM, AVG, MIN, MAX.
- Understand how to use aggregate functions to perform calculations on data.
- Practice writing queries with aggregate functions.
Day 5: Subqueries
- Learn about subqueries and their role in SQL.
- Understand how to use subqueries in SELECT, WHERE, and FROM clauses.
- Practice writing queries with subqueries.
Day 6: Data Manipulation Language (DML)
- Learn about DML commands: INSERT, UPDATE, DELETE.
- Understand how to add, modify, and delete data in a database.
- Practice writing DML statements.
Day 7: Data Definition Language (DDL)
- Learn about DDL commands: CREATE TABLE, ALTER TABLE, DROP TABLE.
- Understand constraints: PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL.
- Practice designing database schemas and creating tables.
Day 8: Data Control Language (DCL)
- Learn about DCL commands: GRANT, REVOKE for managing user permissions.
- Understand how to control access to database objects.
- Practice granting and revoking permissions.
Day 9: Transactions
- Understand the concept of transactions in SQL.
- Learn about transaction control commands: COMMIT, ROLLBACK.
- Practice managing transactions.
Day 10: Views
- Learn about views and their benefits.
- Understand how to create, modify, and drop views.
- Practice creating views.
Day 11: Indexes
- Learn about indexes and their role in database optimization.
- Understand different types of indexes (e.g., B-tree, hash).
- Practice creating and managing indexes.
Day 12: Optimization Techniques
- Explore optimization techniques such as query tuning and normalization.
- Understand the importance of database design for optimization.
- Practice optimizing SQL queries.
Day 13: Review and Practice
- Review all concepts covered in the previous days.
- Work on sample projects or exercises to reinforce learning.
- Take practice quizzes or tests.
Day 14: Final Review and Projects
- Review all concepts learned throughout the 14 days.
- Work on a final project to apply SQL knowledge.
- Seek out additional resources or tutorials if needed.
Here are some practical SQL syntax examples for each day of your learning journey:
Day 1: Introduction to Databases
- Syntax to select all columns from a table:
SELECT * FROM table_name;
Day 2: Basic SQL Syntax
- Syntax to select specific columns from a table:
SELECT column1, column2 FROM table_name;
Day 3: Retrieving Data from Multiple Tables
- Syntax for INNER JOIN to retrieve data from two tables:
SELECT orders.order_id, customers.customer_name
FROM orders
INNER JOIN customers ON orders.customer_id = customers.customer_id;
Day 4: Aggregate Functions
- Syntax for COUNT to count the number of rows in a table:
SELECT COUNT(*) FROM table_name;
Day 5: Subqueries
- Syntax for using a subquery in the WHERE clause:
SELECT column1, column2
FROM table_name
WHERE column1 IN (SELECT column1 FROM another_table WHERE condition);
Day 6: Data Manipulation Language (DML)
- Syntax for INSERT to add data into a table:
INSERT INTO table_name (column1, column2) VALUES (value1, value2);
❤1
𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗡𝗼 𝗗𝗲𝗴𝗿𝗲𝗲 𝗡𝗲𝗲𝗱𝗲𝗱!😍
You don’t need a degree or pay lakhs to start a career in web development! 💸❌
These 100% free courses by Udacity are beginner-friendly and cover everything from frontend to backend👨💻📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jCAtJ5
📌 Save this post & tag a friend who’s ready to switch to tech!
You don’t need a degree or pay lakhs to start a career in web development! 💸❌
These 100% free courses by Udacity are beginner-friendly and cover everything from frontend to backend👨💻📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jCAtJ5
📌 Save this post & tag a friend who’s ready to switch to tech!
❤1
🚀 Backend Developer Roadmap 🚀
1. Foundation: 📚 Learn fundamental programming concepts such as variables, data types, and control flow. Master a programming language like Python, Java, or JavaScript.
2. Database Management: 🛢️ Understand database systems like SQL and NoSQL. Learn about relational databases (e.g., MySQL, PostgreSQL) and non-relational databases (e.g., MongoDB, Redis).
3. API Development: 🌐 Explore RESTful API principles and design patterns. Learn how to create, test, and document APIs using frameworks like Flask (Python), Spring Boot (Java), or Express (JavaScript).
4. Authentication & Authorization: 🔒 Dive into authentication methods like JWT (JSON Web Tokens) and OAuth. Understand authorization mechanisms to control access to resources securely.
5. Server-Side Frameworks: 🛠️ Get hands-on experience with backend frameworks such as Django (Python), Spring (Java), or Express (JavaScript). Learn how to build robust, scalable web applications.
6. Middleware & Caching: 🔄 Explore middleware concepts for request processing and handling. Implement caching strategies using tools like Redis to improve performance.
7. Testing & Debugging: 🐞 Master unit testing, integration testing, and end-to-end testing techniques. Use debugging tools and practices to identify and resolve issues effectively.
8. Security Best Practices: 🛡️ Learn about common security threats and how to mitigate them. Implement security measures such as input validation, encryption, and secure communication protocols.
9. Containerization & Deployment: 🚢 Familiarize yourself with containerization technologies like Docker and container orchestration platforms like Kubernetes. Learn how to deploy and manage applications in production environments.
10. Monitoring & Logging: 📊 Understand the importance of monitoring and logging for application health and performance. Explore tools like Prometheus, Grafana, and ELK stack for monitoring and log management.
11. Scalability & Performance Optimization: ⚙️ Learn techniques for scaling backend systems to handle increased loads. Optimize performance through efficient algorithms, caching, and database optimization.
12. Continuous Integration & Deployment (CI/CD): 🔄🚀 Implement CI/CD pipelines to automate testing, building, and deployment processes. Utilize tools like Jenkins, GitLab CI, or GitHub Actions for seamless integration and deployment.
13. Version Control: 📝 Embrace version control systems like Git for managing code changes and collaboration. Learn branching strategies and best practices for efficient team development.
14. Documentation: 📄 Document your code, APIs, and system architecture effectively. Clear documentation improves understanding, maintenance, and collaboration among team members.
15. Stay Updated: 📰 Keep abreast of new technologies, frameworks, and best practices in backend development. Engage with the community, attend conferences, and participate in online forums to stay current.
1. Foundation: 📚 Learn fundamental programming concepts such as variables, data types, and control flow. Master a programming language like Python, Java, or JavaScript.
2. Database Management: 🛢️ Understand database systems like SQL and NoSQL. Learn about relational databases (e.g., MySQL, PostgreSQL) and non-relational databases (e.g., MongoDB, Redis).
3. API Development: 🌐 Explore RESTful API principles and design patterns. Learn how to create, test, and document APIs using frameworks like Flask (Python), Spring Boot (Java), or Express (JavaScript).
4. Authentication & Authorization: 🔒 Dive into authentication methods like JWT (JSON Web Tokens) and OAuth. Understand authorization mechanisms to control access to resources securely.
5. Server-Side Frameworks: 🛠️ Get hands-on experience with backend frameworks such as Django (Python), Spring (Java), or Express (JavaScript). Learn how to build robust, scalable web applications.
6. Middleware & Caching: 🔄 Explore middleware concepts for request processing and handling. Implement caching strategies using tools like Redis to improve performance.
7. Testing & Debugging: 🐞 Master unit testing, integration testing, and end-to-end testing techniques. Use debugging tools and practices to identify and resolve issues effectively.
8. Security Best Practices: 🛡️ Learn about common security threats and how to mitigate them. Implement security measures such as input validation, encryption, and secure communication protocols.
9. Containerization & Deployment: 🚢 Familiarize yourself with containerization technologies like Docker and container orchestration platforms like Kubernetes. Learn how to deploy and manage applications in production environments.
10. Monitoring & Logging: 📊 Understand the importance of monitoring and logging for application health and performance. Explore tools like Prometheus, Grafana, and ELK stack for monitoring and log management.
11. Scalability & Performance Optimization: ⚙️ Learn techniques for scaling backend systems to handle increased loads. Optimize performance through efficient algorithms, caching, and database optimization.
12. Continuous Integration & Deployment (CI/CD): 🔄🚀 Implement CI/CD pipelines to automate testing, building, and deployment processes. Utilize tools like Jenkins, GitLab CI, or GitHub Actions for seamless integration and deployment.
13. Version Control: 📝 Embrace version control systems like Git for managing code changes and collaboration. Learn branching strategies and best practices for efficient team development.
14. Documentation: 📄 Document your code, APIs, and system architecture effectively. Clear documentation improves understanding, maintenance, and collaboration among team members.
15. Stay Updated: 📰 Keep abreast of new technologies, frameworks, and best practices in backend development. Engage with the community, attend conferences, and participate in online forums to stay current.
❤2
𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗔𝗿𝗲 𝗠𝗼𝘀𝘁 𝗗𝗲𝗺𝗮𝗻𝗱𝗶𝗻𝗴 𝗖𝗮𝗿𝗲𝗲𝗿𝘀 𝗜𝗻 𝟮𝟬𝟮𝟱 😍
Learn Full Stack Development | Data Analytics & Data Science
Curriculum designed and taught by Alumni from IITs & Leading Tech Companies.
60+ Hiring Drives Every Month
𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:-
🌟 500+ Hiring Partners
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💼 Avg. Rs. 7.2 LPA
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Hurry, limited seats available!🏃♀️
Learn Full Stack Development | Data Analytics & Data Science
Curriculum designed and taught by Alumni from IITs & Leading Tech Companies.
60+ Hiring Drives Every Month
𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:-
🌟 500+ Hiring Partners
🤝Trusted by 7500+ Students
💼 Avg. Rs. 7.2 LPA
🚀 41 LPA Highest Package
𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 :- https://pdlink.in/4hO7rWY
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Hurry, limited seats available!🏃♀️
𝗦𝗤𝗟 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
Looking to master SQL for Data Analytics or prep for your dream tech job? 💼
These 3 Free SQL resources will help you go from beginner to job-ready—without spending a single rupee! 📊✨
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3TcvfsA
💥 Start learning today and build the skills top companies want!✅️
Looking to master SQL for Data Analytics or prep for your dream tech job? 💼
These 3 Free SQL resources will help you go from beginner to job-ready—without spending a single rupee! 📊✨
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3TcvfsA
💥 Start learning today and build the skills top companies want!✅️
❤1
3 Data Science Free courses by Microsoft🔥🔥
1. AI For Beginners - https://microsoft.github.io/AI-For-Beginners/
2. ML For Beginners - https://microsoft.github.io/ML-For-Beginners/#/
3. Data Science For Beginners - https://github.com/microsoft/Data-Science-For-Beginners
Join for more: https://news.1rj.ru/str/udacityfreecourse
1. AI For Beginners - https://microsoft.github.io/AI-For-Beginners/
2. ML For Beginners - https://microsoft.github.io/ML-For-Beginners/#/
3. Data Science For Beginners - https://github.com/microsoft/Data-Science-For-Beginners
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❤1
𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
𝗦𝗤𝗟:- https://pdlink.in/3TcvfsA
𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:- https://pdlink.in/3Hfpwjc
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𝗣𝘆𝘁𝗵𝗼𝗻 :- https://pdlink.in/3Hnx3wh
𝗗𝗲𝘃𝗢𝗽𝘀 :- https://pdlink.in/4jyxBwS
𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 :- https://pdlink.in/4jCAtJ5
Enroll for FREE & Get Certified 🎓
𝗦𝗤𝗟:- https://pdlink.in/3TcvfsA
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𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:- https://pdlink.in/3ZyQpFd
𝗣𝘆𝘁𝗵𝗼𝗻 :- https://pdlink.in/3Hnx3wh
𝗗𝗲𝘃𝗢𝗽𝘀 :- https://pdlink.in/4jyxBwS
𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 :- https://pdlink.in/4jCAtJ5
Enroll for FREE & Get Certified 🎓
❤1
3 steps to get a job in any field:
1. Become skilled in that field
2. Create something to prove you have the skills
3. Get the right people to look at that proof
For data analytics:
1. learn SQL, Microsoft Excel, and a data viz tool.
2. Create a portfolio to show you have those skills, can use them to solve problems and answer questions, and can communicate well.
3. Find ways to get recruiters and hiring managers to look at your portfolio.
Referrals, good cold DMs, networking events, whatever you gotta do to make it happen.
Is it simple? Yes.
Is it easy? No.
Can you do it? Yes.
Join this channel to learn everything about Data Analytics 👇
https://news.1rj.ru/str/sqlspecialist
Hope this helps you 😊
1. Become skilled in that field
2. Create something to prove you have the skills
3. Get the right people to look at that proof
For data analytics:
1. learn SQL, Microsoft Excel, and a data viz tool.
2. Create a portfolio to show you have those skills, can use them to solve problems and answer questions, and can communicate well.
3. Find ways to get recruiters and hiring managers to look at your portfolio.
Referrals, good cold DMs, networking events, whatever you gotta do to make it happen.
Is it simple? Yes.
Is it easy? No.
Can you do it? Yes.
Join this channel to learn everything about Data Analytics 👇
https://news.1rj.ru/str/sqlspecialist
Hope this helps you 😊
❤2
𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗙𝗼𝗿 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗥𝗼𝗹𝗲𝘀 😍
𝗔𝗽𝗽𝗹𝘆 𝗟𝗶𝗻𝗸𝘀:-👇
ReactNative :-https://pdlink.in/43PwR0w
SDE 1:- https://pdlink.in/4jywE7y
Data Analyst :- https://pdlink.in/3FCAdfe
SDE 1 (.Net) :- https://pdlink.in/458vDja
Apply before the link expires 💫
𝗔𝗽𝗽𝗹𝘆 𝗟𝗶𝗻𝗸𝘀:-👇
ReactNative :-https://pdlink.in/43PwR0w
SDE 1:- https://pdlink.in/4jywE7y
Data Analyst :- https://pdlink.in/3FCAdfe
SDE 1 (.Net) :- https://pdlink.in/458vDja
Apply before the link expires 💫
10 New & Trending AI Concepts You Should Know in 2025
✅ Retrieval-Augmented Generation (RAG) – Combines search with generative AI for smarter answers
✅ Multi-Modal Models – AI that understands text, image, audio, and video (like GPT-4V, Gemini)
✅ Agents & AutoGPT – AI that can plan, execute, and make decisions with minimal input
✅ Synthetic Data Generation – Creating fake yet realistic data to train AI models
✅ Federated Learning – Train models without moving your data (privacy-first AI)
✅ Prompt Engineering – Crafting prompts to get the best out of LLMs
✅ Fine-Tuning & LoRA – Customize big models for specific tasks with minimal resources
✅ AI Safety & Alignment – Making sure AI systems behave ethically and predictably
✅ TinyML – Running ML models on edge devices with very low power (IoT focus)
✅ Open-Source LLMs – Rise of models like Mistral, LLaMA, Mixtral challenging closed-source giants
Free AI Resources: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
ENJOY LEARNING 👍👍
✅ Retrieval-Augmented Generation (RAG) – Combines search with generative AI for smarter answers
✅ Multi-Modal Models – AI that understands text, image, audio, and video (like GPT-4V, Gemini)
✅ Agents & AutoGPT – AI that can plan, execute, and make decisions with minimal input
✅ Synthetic Data Generation – Creating fake yet realistic data to train AI models
✅ Federated Learning – Train models without moving your data (privacy-first AI)
✅ Prompt Engineering – Crafting prompts to get the best out of LLMs
✅ Fine-Tuning & LoRA – Customize big models for specific tasks with minimal resources
✅ AI Safety & Alignment – Making sure AI systems behave ethically and predictably
✅ TinyML – Running ML models on edge devices with very low power (IoT focus)
✅ Open-Source LLMs – Rise of models like Mistral, LLaMA, Mixtral challenging closed-source giants
Free AI Resources: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
ENJOY LEARNING 👍👍
❤1
𝟲 𝗙𝗥𝗘𝗘 𝗖𝗶𝘀𝗰𝗼 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗕𝘂𝗶𝗹𝗱 𝗮 𝗧𝗲𝗰𝗵 𝗖𝗮𝗿𝗲𝗲𝗿 !😍
💻Want to break into tech without spending a rupee?💰
These 6 free Cisco-certified courses are a goldmine for beginners! Perfect for anyone exploring cybersecurity, Python, AI, IoT, operating systems, or data analytics👨💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4kLvlmI
Enroll For FREE & Get Certified 💫
💻Want to break into tech without spending a rupee?💰
These 6 free Cisco-certified courses are a goldmine for beginners! Perfect for anyone exploring cybersecurity, Python, AI, IoT, operating systems, or data analytics👨💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4kLvlmI
Enroll For FREE & Get Certified 💫
WhatsApp is no longer a platform just for chat.
It's an educational goldmine.
If you do, you’re sleeping on a goldmine of knowledge and community. WhatsApp channels are a great way to practice data science, make your own community, and find accountability partners.
I have curated the list of best WhatsApp channels to learn coding & data science for FREE
Free Courses with Certificate
👇👇
https://whatsapp.com/channel/0029Vamhzk5JENy1Zg9KmO2g
Jobs & Internship Opportunities
👇👇
https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
Web Development
👇👇
https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
Python Free Books & Projects
👇👇
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
Java Free Resources
👇👇
https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s
Coding Interviews
👇👇
https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
SQL For Data Analysis
👇👇
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
Power BI Resources
👇👇
https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c
Programming Free Resources
👇👇
https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
Data Science Projects
👇👇
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
Learn Data Science & Machine Learning
👇👇
https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
ENJOY LEARNING 👍👍
It's an educational goldmine.
If you do, you’re sleeping on a goldmine of knowledge and community. WhatsApp channels are a great way to practice data science, make your own community, and find accountability partners.
I have curated the list of best WhatsApp channels to learn coding & data science for FREE
Free Courses with Certificate
👇👇
https://whatsapp.com/channel/0029Vamhzk5JENy1Zg9KmO2g
Jobs & Internship Opportunities
👇👇
https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
Web Development
👇👇
https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
Python Free Books & Projects
👇👇
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
Java Free Resources
👇👇
https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s
Coding Interviews
👇👇
https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
SQL For Data Analysis
👇👇
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
Power BI Resources
👇👇
https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c
Programming Free Resources
👇👇
https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
Data Science Projects
👇👇
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
Learn Data Science & Machine Learning
👇👇
https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
ENJOY LEARNING 👍👍
❤1
𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱!😍
Want to communicate with AI like a pro? 🤖
Whether you’re a data analyst, AI developer, content creator, or student, this is the must-have skill of 2025✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/456lMuf
Save this now & unlock your AI potential!⚡
Want to communicate with AI like a pro? 🤖
Whether you’re a data analyst, AI developer, content creator, or student, this is the must-have skill of 2025✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/456lMuf
Save this now & unlock your AI potential!⚡
❤1
Coding Project Ideas with AI 👇👇
1. Sentiment Analysis Tool: Develop a tool that uses AI to analyze the sentiment of text data, such as social media posts, customer reviews, or news articles. The tool could classify the sentiment as positive, negative, or neutral.
2. Image Recognition App: Create an app that uses AI image recognition algorithms to identify objects, scenes, or people in images. This could be useful for applications like automatic photo tagging or security surveillance.
3. Chatbot Development: Build a chatbot using AI natural language processing techniques to interact with users and provide information or assistance on a specific topic. You could integrate the chatbot into a website or messaging platform.
4. Recommendation System: Develop a recommendation system that uses AI algorithms to suggest products, movies, music, or other items based on user preferences and behavior. This could enhance the user experience on e-commerce platforms or streaming services.
5. Fraud Detection System: Create a fraud detection system that uses AI to analyze patterns and anomalies in financial transactions data. The system could help identify potentially fraudulent activities and prevent financial losses.
6. Health Monitoring App: Build an app that uses AI to monitor health data, such as heart rate, sleep patterns, or activity levels, and provide personalized recommendations for improving health and wellness.
7. Language Translation Tool: Develop a language translation tool that uses AI machine translation algorithms to translate text between different languages accurately and efficiently.
8. Autonomous Driving System: Work on a project to develop an autonomous driving system that uses AI computer vision and sensor data processing to navigate vehicles safely and efficiently on roads.
9. Personalized Content Generator: Create a tool that uses AI natural language generation techniques to generate personalized content, such as articles, emails, or marketing messages tailored to individual preferences.
10. Music Recommendation Engine: Build a music recommendation engine that uses AI algorithms to analyze music preferences and suggest playlists or songs based on user tastes and listening habits.
Join for more: https://news.1rj.ru/str/Programming_experts
ENJOY LEARNING 👍👍
1. Sentiment Analysis Tool: Develop a tool that uses AI to analyze the sentiment of text data, such as social media posts, customer reviews, or news articles. The tool could classify the sentiment as positive, negative, or neutral.
2. Image Recognition App: Create an app that uses AI image recognition algorithms to identify objects, scenes, or people in images. This could be useful for applications like automatic photo tagging or security surveillance.
3. Chatbot Development: Build a chatbot using AI natural language processing techniques to interact with users and provide information or assistance on a specific topic. You could integrate the chatbot into a website or messaging platform.
4. Recommendation System: Develop a recommendation system that uses AI algorithms to suggest products, movies, music, or other items based on user preferences and behavior. This could enhance the user experience on e-commerce platforms or streaming services.
5. Fraud Detection System: Create a fraud detection system that uses AI to analyze patterns and anomalies in financial transactions data. The system could help identify potentially fraudulent activities and prevent financial losses.
6. Health Monitoring App: Build an app that uses AI to monitor health data, such as heart rate, sleep patterns, or activity levels, and provide personalized recommendations for improving health and wellness.
7. Language Translation Tool: Develop a language translation tool that uses AI machine translation algorithms to translate text between different languages accurately and efficiently.
8. Autonomous Driving System: Work on a project to develop an autonomous driving system that uses AI computer vision and sensor data processing to navigate vehicles safely and efficiently on roads.
9. Personalized Content Generator: Create a tool that uses AI natural language generation techniques to generate personalized content, such as articles, emails, or marketing messages tailored to individual preferences.
10. Music Recommendation Engine: Build a music recommendation engine that uses AI algorithms to analyze music preferences and suggest playlists or songs based on user tastes and listening habits.
Join for more: https://news.1rj.ru/str/Programming_experts
ENJOY LEARNING 👍👍
❤2
𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱!😍
Want to communicate with AI like a pro? 🤖
Whether you’re a data analyst, AI developer, content creator, or student, this is the must-have skill of 2025✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/456lMuf
Save this now & unlock your AI potential!⚡
Want to communicate with AI like a pro? 🤖
Whether you’re a data analyst, AI developer, content creator, or student, this is the must-have skill of 2025✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/456lMuf
Save this now & unlock your AI potential!⚡
❤1
YouTube & WhatsApp Channels for Free Learning 🚀
👉 Introduction to Prog & CS:
https://youtu.be/zOjov-2OZ0E?si=gEbFC3o18x5enhWe
👉 OS:
https://youtu.be/3obEP8eLsCw?si=SSTwuiMWSc4KtGhy
👉 PowerBi:
https://youtu.be/UXhGRVTndQA?si=r9rpqRgbwy3LSxEZ
https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c
👉SQL
https://youtu.be/VCZxODefTIs?si=U0rn-L8CUB6_WfVk
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
👉 Data Analytics:
https://youtu.be/PSNXoAs2FtQ?si=yTzjpW2lP3qbVy22
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
👉 Python:
https://youtu.be/LHBE6Q9XlzI?si=9R_HmHaD7uGFWOvk
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
👉 Web Development:
https://youtube.com/playlist?list=PLu0W_9lII9agq5TrH9XLIKQvv0iaF2X3w&si=sbUzknTFsSo2RHh4
https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
👉 Java:
https://youtube.com/playlist?list=PLsyeobzWxl7pe_IiTfNyr55kwJPWbgxB5&si=TUQALbuysZfeLknX
https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s
👉 DBMS:
https://youtu.be/dl00fOOYLOM?si=w7THW7f8qdmztsd6
👉 DSA:
https://youtube.com/playlist?list=PLgUwDviBIf0oF6QL8m22w1hIDC1vJ_BHz&si=2zY8MHinpZN6S-Ox
https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
👉 C++:
https://youtu.be/8jLOx1hD3_o?si=kD5OHquB7uN7J2eG
👉 Ethical Hacking:
https://youtu.be/cKEf8H9cQGM?si=xzL7ogRnnJCyhZlc
https://whatsapp.com/channel/0029VancSnGG8l5KQYOOyL1T
👉 Data Science:
https://youtu.be/gDZ6czwuQ18?si=Nmj950IQBRHPVocQ
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
👉 Machine Learning:
https://youtu.be/LvC68w9JS4Y?si=rXnXfmZVg0a7Ijpz
Join for more: https://news.1rj.ru/str/crackingthecodinginterview
ENJOY LEARNING 👍 👍
👉 Introduction to Prog & CS:
https://youtu.be/zOjov-2OZ0E?si=gEbFC3o18x5enhWe
👉 OS:
https://youtu.be/3obEP8eLsCw?si=SSTwuiMWSc4KtGhy
👉 PowerBi:
https://youtu.be/UXhGRVTndQA?si=r9rpqRgbwy3LSxEZ
https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c
👉SQL
https://youtu.be/VCZxODefTIs?si=U0rn-L8CUB6_WfVk
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
👉 Data Analytics:
https://youtu.be/PSNXoAs2FtQ?si=yTzjpW2lP3qbVy22
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
👉 Python:
https://youtu.be/LHBE6Q9XlzI?si=9R_HmHaD7uGFWOvk
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
👉 Web Development:
https://youtube.com/playlist?list=PLu0W_9lII9agq5TrH9XLIKQvv0iaF2X3w&si=sbUzknTFsSo2RHh4
https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
👉 Java:
https://youtube.com/playlist?list=PLsyeobzWxl7pe_IiTfNyr55kwJPWbgxB5&si=TUQALbuysZfeLknX
https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s
👉 DBMS:
https://youtu.be/dl00fOOYLOM?si=w7THW7f8qdmztsd6
👉 DSA:
https://youtube.com/playlist?list=PLgUwDviBIf0oF6QL8m22w1hIDC1vJ_BHz&si=2zY8MHinpZN6S-Ox
https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
👉 C++:
https://youtu.be/8jLOx1hD3_o?si=kD5OHquB7uN7J2eG
👉 Ethical Hacking:
https://youtu.be/cKEf8H9cQGM?si=xzL7ogRnnJCyhZlc
https://whatsapp.com/channel/0029VancSnGG8l5KQYOOyL1T
👉 Data Science:
https://youtu.be/gDZ6czwuQ18?si=Nmj950IQBRHPVocQ
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
👉 Machine Learning:
https://youtu.be/LvC68w9JS4Y?si=rXnXfmZVg0a7Ijpz
Join for more: https://news.1rj.ru/str/crackingthecodinginterview
ENJOY LEARNING 👍 👍
❤2