Many people still aren't fully utilizing the power of Telegram.

There are numerous channels on Telegram that can help you find the latest job and internship opportunities?

Here are some of my top channel recommendations to help you get started 👇👇

Latest Jobs & Internships: https://t.iss.one/getjobss

Jobs Preparation Resources:
https://t.iss.one/jobinterviewsprep

Web Development Jobs:
https://t.iss.one/webdeveloperjob

Data Science Jobs:
https://t.iss.one/datasciencej

Interview Tips:
https://t.iss.one/Interview_Jobs

Data Analyst Jobs:
https://t.iss.one/jobs_SQL

AI Jobs:
https://t.iss.one/AIjobz

Remote Jobs:
https://t.iss.one/jobs_us_uk

FAANG Jobs:
https://t.iss.one/FAANGJob

Software Developer Jobs: https://t.iss.one/internshiptojobs

If you found this helpful, don’t forget to like, share, and follow for more resources that can boost your career journey!

Let me know if you know any other useful telegram channel

ENJOY LEARNING👍👍

Guys, Big Announcement!

We’ve officially hit 5 Lakh followers on WhatsApp and it’s time to level up together! ❤️

I've launched a Python Learning Series — designed for beginners to those preparing for technical interviews or building real-world projects.

This will be a step-by-step journey — from basics to advanced — with real examples and short quizzes after each topic to help you lock in the concepts.

Here’s what we’ll cover in the coming days:

Week 1: Python Fundamentals

- Variables & Data Types

- Operators & Expressions

- Conditional Statements (if, elif, else)

- Loops (for, while)

- Functions & Parameters

- Input/Output & Basic Formatting


Week 2: Core Python Skills

- Lists, Tuples, Sets, Dictionaries

- String Manipulation

- List Comprehensions

- File Handling

- Exception Handling


Week 3: Intermediate Python

- Lambda Functions

- Map, Filter, Reduce

- Modules & Packages

- Scope & Global Variables

- Working with Dates & Time


Week 4: OOP & Pythonic Concepts

- Classes & Objects

- Inheritance & Polymorphism

- Decorators (Intro level)

- Generators & Iterators

- Writing Clean & Readable Code


Week 5: Real-World & Interview Prep

- Web Scraping (BeautifulSoup)

- Working with APIs (Requests)

- Automating Tasks

- Data Analysis Basics (Pandas)

- Interview Coding Patterns

You can join our WhatsApp channel to access it for free: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/1527

𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁’𝘀 𝗙𝗥𝗘𝗘 𝗣𝗼𝘄𝗲𝗿𝗕𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍

🚀 Want to Break into Data Analytics? Start with This Free Power BI Course by Microsoft🎯

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𝟯 𝗙𝗿𝗲𝗲 𝗧𝗖𝗦 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗘𝘃𝗲𝗿𝘆 𝗙𝗿𝗲𝘀𝗵𝗲𝗿 𝗠𝘂𝘀𝘁 𝗧𝗮𝗸𝗲 𝘁𝗼 𝗚𝗲𝘁 𝗝𝗼𝗯-𝗥𝗲𝗮𝗱𝘆😍

🎯 If You’re a Fresher, These TCS Courses Are a Must-Do📄✔️

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Master SQL step-by-step! From basics to advanced, here are the key topics you need for a solid SQL foundation. 🚀

1. Foundations:
- Learn basic SQL syntax, including SELECT, FROM, WHERE clauses.
- Understand data types, constraints, and the basic structure of a database.

2. Database Design:
- Study database normalization to ensure efficient data organization.
- Learn about primary keys, foreign keys, and relationships between tables.

3. Queries and Joins:
- Practice writing simple to complex SELECT queries.
- Master different types of joins (INNER, LEFT, RIGHT, FULL) to combine data from multiple tables.

4. Aggregation and Grouping:
- Explore aggregate functions like COUNT, SUM, AVG, MAX, and MIN.
- Understand GROUP BY clause for summarizing data based on specific criteria.

5. Subqueries and Nested Queries:
- Learn how to use subqueries to perform operations within another query.
- Understand the concept of nested queries and their practical applications.

6. Indexing and Optimization:
- Study indexing for enhancing query performance.
- Learn optimization techniques, such as avoiding SELECT * and using appropriate indexes.

7. Transactions and ACID Properties:
- Understand the basics of transactions and their role in maintaining data integrity.
- Explore ACID properties (Atomicity, Consistency, Isolation, Durability) in database management.

8. Views and Stored Procedures:
- Create and use views to simplify complex queries.
- Learn about stored procedures for reusable and efficient query execution.

9. Security and Permissions:
- Understand SQL injection risks and how to prevent them.
- Learn how to manage user permissions and access control.

10. Advanced Topics:
- Explore advanced SQL concepts like window functions, CTEs (Common Table Expressions), and recursive queries.
- Familiarize yourself with database-specific features (e.g., PostgreSQL's JSON functions, MySQL's spatial data types).

11. Real-world Projects:
- Apply your knowledge to real-world scenarios by working on projects.
- Practice with sample databases or create your own to reinforce your skills.

12. Continuous Learning:
- Stay updated on SQL advancements and industry best practices.
- Engage with online communities, forums, and resources for ongoing learning and problem-solving.

Here are some free resources to learn & practice SQL 👇👇

Udacity free course- https://imp.i115008.net/AoAg7K

SQL For Data Analysis: https://t.iss.one/sqlanalyst

For Practice- https://stratascratch.com/?via=free

SQL Learning Series: https://t.iss.one/sqlspecialist/567

Top 10 SQL Projects with Datasets: https://t.iss.one/DataPortfolio/16

Join for more free resources: https://t.iss.one/free4unow_backup

ENJOY LEARNING 👍👍

𝟭𝟬𝟬% 𝗙𝗿𝗲𝗲 𝗔𝗪𝗦 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗳𝗼𝗿 𝗔𝗯𝘀𝗼𝗹𝘂𝘁𝗲 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀😍

☁️ Want to Break Into Cloud Computing? Start Your AWS Journey for Free!📌

Cloud computing is one of the fastest-growing and highest-paying fields in tech. And Amazon Web Services (AWS) leads the way with over 30% of the global market share📊🎊

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Here are some of the amazing Websites to Learn Python from Beginning to Advanced. 👇👇

1. LearnPython
🔗 Playlist Link

2. W3Schools
🔗 Playlist Link

3. Khan Academy
🔗 Playlist Link

4. FreeCodeCamp
🔗 Playlist Link

5. Sololearn
🔗 Playlist Link

Best python github Repositories very helpful for beginners -

1. scikit-learn : https://github.com/scikit-learn

2. Flask : https://github.com/pallets/flask

3. Keras : https://github.com/keras-team/keras

4. Sentry : https://github.com/getsentry/sentry

5. Django : https://github.com/django/django

6. Ansible : https://github.com/ansible/ansible

7. Tornado : https://github.com/tornadoweb/tornado

𝟱 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻’𝘁 𝗠𝗶𝘀𝘀😍

Microsoft Learn is offering 5 must-do courses for aspiring data scientists, absolutely free🔥📊

These self-paced learning modules are designed by industry experts and cover everything from Python and ML to Microsoft Fabric and Azure🎯

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/4iSWjaP

Job-ready content that gets you results✅️

For data analysts working with Python, mastering these top 10 concepts is essential:

1. Data Structures: Understand fundamental data structures like lists, dictionaries, tuples, and sets, as well as libraries like NumPy and Pandas for more advanced data manipulation.

2. Data Cleaning and Preprocessing: Learn techniques for cleaning and preprocessing data, including handling missing values, removing duplicates, and standardizing data formats.

3. Exploratory Data Analysis (EDA): Use libraries like Pandas, Matplotlib, and Seaborn to perform EDA, visualize data distributions, identify patterns, and explore relationships between variables.

4. Data Visualization: Master visualization libraries such as Matplotlib, Seaborn, and Plotly to create various plots and charts for effective data communication and storytelling.

5. Statistical Analysis: Gain proficiency in statistical concepts and methods for analyzing data distributions, conducting hypothesis tests, and deriving insights from data.

6. Machine Learning Basics: Familiarize yourself with machine learning algorithms and techniques for regression, classification, clustering, and dimensionality reduction using libraries like Scikit-learn.

7. Data Manipulation with Pandas: Learn advanced data manipulation techniques using Pandas, including merging, grouping, pivoting, and reshaping datasets.

8. Data Wrangling with Regular Expressions: Understand how to use regular expressions (regex) in Python to extract, clean, and manipulate text data efficiently.

9. SQL and Database Integration: Acquire basic SQL skills for querying databases directly from Python using libraries like SQLAlchemy or integrating with databases such as SQLite or MySQL.

10. Web Scraping and API Integration: Explore methods for retrieving data from websites using web scraping libraries like BeautifulSoup or interacting with APIs to access and analyze data from various sources.

Give credits while sharing: https://t.iss.one/pythonanalyst

ENJOY LEARNING 👍👍

𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗨𝗽𝗴𝗿𝗮𝗱𝗲 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀 𝗜𝗻 𝟮𝟬𝟮𝟱😍 

Explore top-notch courses to build expertise in cloud computing, data analysis, and visualization—all for FREE!

1. Microsoft Azure Fundamentals
2. Power BI Data Analyst Associate
3. Azure Enterprise Data Analyst Associate
4. Introduction to Data Analysis Using Excel (edX)
5. Analyzing & Visualizing Data with Excel (edX)

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/3Phz4Li

Start learning today and transform your career! 🚀