https://www.instagram.com/reel/C7WUkFJPAt7/?igsh=MWN6eWlsYmVtZmdqMg==

Here's the link to the GitHub repository every programmer should know.

Link- https://github.com/sdmg15/Best-websites-a-programmer-should-visit

5 FREE Top Rated Data Analytics Courses From Microsoft

Enroll For FREE👇:- 

https://bit.ly/3wNQf1h

Get Certified & Get Hired

https://www.instagram.com/reel/C7Y4N6hPjar/?igsh=MTlma3JlemV0OHJyYg==

Here's the playlists link that helped me a lot as a CS Student.

1. Naresh i Technologies

Java Programming Tutorial
Link- https://youtube.com/playlist?list=PLVlQHNRLflP9WTnqLr3pl1VJ5z0cVSPha&si=AwGxC703VM-lKgng

2. CodeWithHarry

Data Structures and Algorithms Course in Hindi
Link- https://youtube.com/playlist?list=PLu0W_9lII9ahIappRPN0MCAgtOu3lQjQi&si=XoEGVUeVxbFtzcCz

3. freeCodeCamp.org

Front End Developer Learning Path
Link- https://youtube.com/playlist?list=PLu0W_9lII9ahIappRPN0MCAgtOu3lQjQi&si=rxMOJ7higJQV-_aF

4. Programming with Mosh

JavaScript Tutorials
Link- https://youtube.com/playlist?list=PLTjRvDozrdlxEIuOBZkMAK5uiqp8rHUax&si=eLG3AIYhNOToJ2Yj

5. Traversy Media

Node.js Videos

Link- https://youtube.com/playlist?list=PLillGF-RfqbZ2ybcoD2OaabW2P7Ws8CWu&si=kFHEopeDJmi6X3DY

📈Opportunity to Learn Coding From Scratch

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Eligibility: BTech / BCA / BSc / MCA / MSc

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BEGINNERS ROADMAP TO LEARN SQL 📊📉

Understand Basics:
Start with the basics of SQL, including concepts like databases, tables, rows, and columns. Learn about key data types.

Install a Database:
Install a relational database like MySQL, PostgreSQL, or SQLite on your computer to practice hands-on.

Learn SQL Syntax:
Familiarize yourself with SQL syntax for common operations like SELECT, INSERT, UPDATE, and DELETE.

Create Tables:
Learn how to create tables, define data types, and set constraints. Understand primary keys and foreign keys.

Query Data:
Practice writing SELECT statements to retrieve data from tables. Use conditions, sorting, and filtering.

Modify Data:
Explore how to insert, update, and delete records in tables. Understand the importance of transactions.

Aggregate Functions:
Learn aggregate functions like COUNT, SUM, AVG, MIN, and MAX. Practice using them to analyze data.

Joins:
Understand different types of joins (INNER, LEFT, RIGHT, FULL) to combine data from multiple tables.

Subqueries:
Explore subqueries to perform complex queries. Understand how to nest queries for more advanced operations.

Indexes and Optimization:
Learn about indexing and its impact on performance. Understand how to optimize queries for efficiency.

Normalization:
Familiarize yourself with database normalization concepts to organize data efficiently and avoid redundancy.

Transactions and Concurrency:
Understand transactions, isolation levels, and handling concurrent access to ensure data integrity.

Views and Stored Procedures:
Learn how to create views for simplified data access and stored procedures for reusable code.

Backup and Recovery:
Explore database backup and recovery processes to safeguard against data loss.

Practice Projects:
Work on real-world projects to apply your skills. Consider building a simple database-driven application.

Online Resources:
Utilize online platforms like W3Schools, SQLZoo, and HackerRank for interactive SQL practice.

Read Documentation:
Read the documentation of the database system you're using. Understand advanced features and configurations.

Join Online Communities:
Join SQL forums or communities to learn from others, ask questions, and stay updated on industry practices.

𝐖𝐨𝐫𝐤 𝐅𝐫𝐨𝐦 𝐇𝐨𝐦𝐞 𝐉𝐨𝐛𝐬 𝟐𝟎𝟐𝟒

Top Companies Hiring:- 

Microsoft 

Amazon 

Sharechat and many more 

Salary :- 30k to 75k/Month

Location:- WFH/Remote

𝐀𝐩𝐩𝐥𝐲 𝐋𝐢𝐧𝐤👇 :- 

https://bit.ly/4dZ4aSO

Apply before the link expires

👉👉Here are a few resources to enhance your knowledge in data analytics:

Books:
"The Art of Data Science" by Roger D. Peng and Elizabeth Matsui.
"Data Science for Business" by Foster Provost and Tom Fawcett.
"Python for Data Analysis" by Wes McKinney.

Online Courses:
Coursera: "Data Science and Machine Learning Bootcamp with R" by Jose Portilla.
edX: "Introduction to Data Science" by Microsoft.
Udacity: "Data Analyst Nanodegree."

Websites/Blogs:
Towards Data Science on Medium.
Kaggle's Data Science and Machine Learning Blog.
DataCamp's Blog.

Podcasts:
Data Skeptic.
Not So Standard Deviations.
DataFramed.

YouTube Channels:
Data School.
Corey Schafer for Python tutorials in data analysis.
StatQuest with Josh Starmer for statistics in data science.

Explore these resources based on your current skill level and interests. Happy learning

Here's the direct link for website which have free mock test for every PROGRAMMING LANGUAGE.

Link- https://www.pramp.com/#/

Top MNCs Hiring Software Engineers, Data Analysts & Data Scientists 

Salary Package:- 5 LPA to 20 LPA

Location:- WFH/Across India

Qualification:- Graduate

Apply Link👇 :-

https://bit.ly/3xiGdFq

Start applying to jobs based on your profile

𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐉𝐨𝐛 𝐎𝐩𝐞𝐧𝐢𝐧𝐠𝐬 

Companies Hiring:- Accenture, KPMG, Myntra, Arcadia &  Many More

Location:- Work From Home /Across India

Salary Package:- Upto 15 LPA

𝐀𝐩𝐩𝐥𝐲 𝐋𝐢𝐧𝐤 👇:-

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Apply before the link expires

Career Path for a Data Analyst

Education: Start by earning a bachelor's degree in fields like math, stats, economics, or computer science.

Skills Growth: Learn programming (Python/R), data tools (SQL/Excel), and visualization. Master data analysis basics.

Entry-Level Role: Begin as a Junior Data Analyst. Learn data cleaning, organization, and basic analysis.

Specialization: Deepen your expertise in a specific industry. Explore advanced analytics and visualization tools.

Advanced Analytics: Move up to Senior Data Analyst. Tackle complex projects and predictive modeling.

Machine Learning: Explore machine learning and data modeling techniques. Familiarize yourself with algorithms, and learn how to implement predictive and classification models.

Domain Expertise: Develop expertise in a particular industry, such as healthcare, finance, e-commerce, etc. This knowledge will enable you to provide more valuable insights from data.

Leadership Roles: As you gain experience, you can move into roles like Data Analytics Manager or Data Science Manager, where you'll oversee teams and projects.

Continuous Learning: Stay updated with the latest tools, techniques, and industry trends. Attend workshops, conferences, and online courses to keep your skills relevant.

Networking: Build a strong professional network within the data analytics community. This can open up opportunities and help you stay informed about industry developments.

Remember, your career path can be personalized based on your interests and strengths. Continuous learning and adaptability are key in the ever-evolving field of data analysis :)

Top Companies Hiring Software Engineers

Companies Hiring :- Microsoft , MasterCard ,IBM ..and other MNC's

Salary :- 6LPA To 25 LPA

Location :- Across India/Work From Home

Apply Link👇 :-

 https://bit.ly/3yJpr2Z

Apply before the link expires

𝐇𝐢𝐫𝐢𝐧𝐠 𝐅𝐫𝐞𝐬𝐡𝐞𝐫𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐝 

Roles:- Data Analyst,Data Engineer, Media Analyst, TeleCallers 

Salary Range:- 3 LPA To 9 LPA

𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 & 𝐀𝐩𝐩𝐥𝐲 𝐍𝐨𝐰👇 :- 

https://bit.ly/3KnqiZG

You need to download the app to apply for this role.

Roadmap to Learn C++ in 30 Days

Learn Now 👇

https://bit.ly/4c7OIlP

All The Best 👍

Work From Home Internships 2024

Hiring For Multiple Roles as Intern

Stipend :- 20k To 40k/Month

Location:- Work From Home/Remote

Experience:- Students/Freshers 

Apply Now👇:-

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Apply before the link expires.

𝐋𝐞𝐚𝐫𝐧 𝐂𝐨𝐝𝐢𝐧𝐠 𝐅𝐢𝐫𝐬𝐭, 𝐏𝐚𝐲 𝐚𝐟𝐭𝐞𝐫 𝐲𝐨𝐮 𝐠𝐞𝐭 𝐩𝐥𝐚𝐜𝐞𝐝

Become an in-demand software developer with an average package of ₹7.2 LPA 💼

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💼 Avg. Rs. 7.2 LPA
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𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰👇 :- 

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𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐚𝐫𝐝 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 𝐎𝐧 𝐂𝐲𝐛𝐞𝐫𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲

In this Program, you will be able to build skills and learn what it’s like to work as a Cyber Security Analyst at Mastercard.

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This is Completely FREE Certification Program

Internship Openings At Razorpay

Roles :-

- DevOps Engineer Intern

- Product Development Engineer Intern

- SDE Intern

Salary :- Upto 40,000rs/Month

Location:- Bangalore

Apply Link👇 :-

https://bit.ly/3XgqZMb

Apply Before the link expires