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Forwarded from SQL Resources TP
*Complete Roadmap to learn SQL in 2025* ๐Ÿ‘‡๐Ÿ‘‡

1. Basic Concepts
- Understand databases and SQL.
- Learn data types (INT, VARCHAR, DATE, etc.).

2. Basic Queries
- SELECT: Retrieve data.
- WHERE: Filter results.
- ORDER BY: Sort results.
- LIMIT: Restrict results.

3. Aggregate Functions
- COUNT, SUM, AVG, MAX, MIN.
- Use GROUP BY to group results.

4. Joins
- INNER JOIN: Combine rows from two tables based on a condition.
- LEFT JOIN: Include all rows from the left table.
- RIGHT JOIN: Include all rows from the right table.
- FULL OUTER JOIN: Include all rows from both tables.

5. Subqueries
- Use nested queries for complex data retrieval.

6. Data Manipulation
- INSERT: Add new records.
- UPDATE: Modify existing records.
- DELETE: Remove records.

7. Schema Management
- CREATE TABLE: Define new tables.
- ALTER TABLE: Modify existing tables.
- DROP TABLE: Remove tables.

8. Indexes
- Understand how to create and use indexes to optimize queries.

9. Views
- Create and manage views for simplified data access.

10. Transactions
- Learn about COMMIT and ROLLBACK for data integrity.

11. Advanced Topics
- Stored Procedures: Automate complex tasks.
- Triggers: Execute actions automatically based on events.
- Normalization: Understand database design principles.

12. Practice
- Use platforms like LeetCode, HackerRank, or learnsql for hands-on practice.

Here are some free resources to learn  & practice SQL ๐Ÿ‘‡๐Ÿ‘‡

More SQL Learning Resources: https://t.me/TechPsyche

Udacity free course- https://techurl.in/tYrRG

SQL For Data Analysis: https://t.me/SQLResourcesTP

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

SQL in 30 Days: https://t.me/SQLResourcesTP/6

Top 10 SQL Projects with Datasets: https://t.me/DataScienceResourcesTP/5

Join for more free resources: https://t.me/TechPsyche

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
Please go through this top 10 SQL projects with Datasets that you can practice and can add in your resume

๐Ÿ“Œ1. Social Media Analytics:
(https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset)

๐Ÿš€2. Web Analytics:
(https://www.kaggle.com/zynicide/wine-reviews)

๐Ÿ“Œ3. HR Analytics:
(https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-
attrition-dataset)

๐Ÿš€4. Healthcare Data Analysis:
(https://www.kaggle.com/cdc/mortality)

๐Ÿ“Œ5. E-commerce Analysis:
(https://www.kaggle.com/olistbr/brazilian-ecommerce)

๐Ÿš€6. Inventory Management:
(https://www.kaggle.com/datasets?
search=inventory+management)

๐Ÿ“Œ 7.Customer Relationship Management:
(https://www.kaggle.com/pankajjsh06/ibm-watson-
marketing-customer-value-data)

๐Ÿš€8. Financial Data Analysis:
(https://www.kaggle.com/awaiskalia/banking-database)

๐Ÿ“Œ9. Supply Chain Management:
(https://www.kaggle.com/shashwatwork/procurement-analytics)

๐Ÿš€10. Analysis of Sales Data:
(https://www.kaggle.com/kyanyoga/sample-sales-data)

Small suggestion from my side for non tech students: kindly pick those datasets which you like the subject in general, that way you will be more excited to practice it, instead of just doing it for the sake of resume, you will learn SQL more passionately, since itโ€™s a programming language try to make it more exciting for yourself.

Data Science Resources: https://t.me/DataScienceResourcesTP

WhatsApp Channel: https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Bookmark Post for Later Use: https://tinyurl.com/SQLProjectsDatasets

Hope this piece of information helps you
๐Ÿ‘1
๐“๐ข๐ฉ๐ฌ ๐Ÿ๐จ๐ซ ๐๐ฒ๐ญ๐ก๐จ๐ง ๐‚๐จ๐๐ข๐ง๐  ๐ข๐ง ๐ƒ๐š๐ญ๐š ๐€๐ง๐š๐ฅ๐ฒ๐ญ๐ข๐œ๐ฌ:

๐˜ ๐˜จ๐˜ฆ๐˜ต ๐˜ด๐˜ฐ ๐˜ฎ๐˜ข๐˜ฏ๐˜บ ๐˜ฒ๐˜ถ๐˜ฆ๐˜ด๐˜ต๐˜ช๐˜ฐ๐˜ฏ๐˜ด ๐˜ง๐˜ณ๐˜ฐ๐˜ฎ ๐˜ฅ๐˜ข๐˜ต๐˜ข ๐˜ข๐˜ฏ๐˜ข๐˜ญ๐˜บ๐˜ต๐˜ช๐˜ค๐˜ด ๐˜ข๐˜ด๐˜ฑ๐˜ช๐˜ณ๐˜ข๐˜ฏ๐˜ต๐˜ด ๐˜ข๐˜ฏ๐˜ฅ ๐˜ฑ๐˜ณ๐˜ฐ๐˜ง๐˜ฆ๐˜ด๐˜ด๐˜ช๐˜ฐ๐˜ฏ๐˜ข๐˜ญ๐˜ด ๐˜ฐ๐˜ฏ ๐˜ฉ๐˜ฐ๐˜ธ ๐˜ต๐˜ฐ ๐˜จ๐˜ข๐˜ช๐˜ฏ ๐˜ค๐˜ฐ๐˜ฎ๐˜ฎ๐˜ข๐˜ฏ๐˜ฅ ๐˜ฐ๐˜ง ๐˜—๐˜บ๐˜ต๐˜ฉ๐˜ฐ๐˜ฏ.

๐Ÿ“๐‹๐ž๐š๐ซ๐ง ๐‚๐จ๐ซ๐ž ๐๐ฒ๐ญ๐ก๐จ๐ง ๐‹๐ข๐›๐ซ๐š๐ซ๐ข๐ž๐ฌ: Master Python libraries for data analytics, like
-pandas for dataframes,
-NumPy for numerical operations,
-Matplotlib/Seaborn for plotting,
-scikit-learn for machine learning.

๐Ÿ“๐”๐ง๐๐ž๐ซ๐ฌ๐ญ๐š๐ง๐ ๐‚๐จ๐ง๐œ๐ž๐ฉ๐ญ๐ฌ: Important concepts like list comprehensions, lambda functions, object-oriented programming, and error handling to write efficient code.

๐Ÿ“๐”๐ฌ๐ž ๐๐ซ๐จ๐›๐ฅ๐ž๐ฆ-๐’๐จ๐ฅ๐ฏ๐ข๐ง๐  ๐Œ๐ž๐ญ๐ก๐จ๐๐ฌ: Apply data wrangling techniques, efficient loops, and vectorized operations in NumPy/pandas for optimized performance.

๐Ÿ“๐ƒ๐จ ๐Œ๐จ๐œ๐ค ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ๐ฌ: Work on end-to-end Python analytics projectsโ€”data loading, cleaning, analysis, and visualization.

๐Ÿ“๐‹๐ž๐š๐ซ๐ง ๐Ÿ๐ซ๐จ๐ฆ ๐๐š๐ฌ๐ญ ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ๐ฌ: Review your previous Python projects to see where your code can be more efficient.

Make sure to scroll through the above messages ๐Ÿ’ you will definitely find more interesting things ๐ŸคŸ

Hope you'll like it

Like this post if you need more resources like this ๐Ÿ‘โค๏ธ

Telegram Channel: https://t.me/DataAnalysisResourcesTP

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150+ Best Programming Books Collection

Reading programming books is key to building a solid foundation in software development. Unlike online tutorials & articles, books offer structured, in-depth coverage of essential concepts like algorithms, data structures, and design patterns. They also provide expert insights, real-world examples, and best practices that help avoid common mistakes and enhance problem-solving skills.

Books encourage a disciplined, step-by-step learning approach, ensuring knowledge is built progressively. Additionally, they often cover timeless principles that remain relevant despite technological changes.

Reading programming books is a valuable way to strengthen technical skills, gain practical knowledge, and become a more proficient developer

Here's a collection of 150+ Programming & Tech Books
https://topmate.io/learning_resources/1362011
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โ• Uber CEO Dara Khosrowshahi resigns from self-driving truck startup Auroraโ€™s board

Dara Khosrowshahi, CEO of Uber, has resigned from the board of Aurora Innovation, a self-driving truck startup. His decision, effective January 2, 2025, was made to focus on his responsibilities at Uber and to reduce external commitments, with no disagreements reported with Aurora. Khosrowshahi joined Aurora's board after Uber sold its self-driving unit to the company in 2020 as part of a $400 million investment deal.

Shailen Bhatt, COO for AtkinsRรฉalis, will replace Khosrowshahi on the board. This resignation comes shortly after Aurora's general counsel announced plans to step down. Uber maintains a collaborative relationship with Aurora through its freight platform, although it also partners with other self-driving tech companies.
Forwarded from Java Resources TP
๐Ÿ” Top 10 Features That Make Java Secure ๐Ÿ”

Java is renowned for its robust security, thanks to these features:

๐Ÿ‘‰ 1. JVM (Java Virtual Machine):

Isolates the code execution environment, protecting the host system from malicious code.

๐Ÿ‘‰ 2. Security APIs:

Built-in libraries for encryption, authentication, and secure communication (e.g., Java Cryptography Architecture).

๐Ÿ‘‰ 3. Security Manager:

Controls application actions at runtime, like file and network access.

๐Ÿ‘‰ 4. Void of Pointers:

Eliminates direct access to memory, reducing vulnerability to memory corruption.

๐Ÿ‘‰ 5. Memory Management:

Automated garbage collection prevents memory leaks and other misuse.

๐Ÿ‘‰ 6. Compile-Time Checking:

Catches errors early, ensuring code integrity before execution.

๐Ÿ‘‰ 7. Cryptographic Security:

Advanced encryption and secure data transmission with tools like SSL and digital signatures.

๐Ÿ‘‰ 8. Java Sandbox:

Isolates code execution, restricting access to critical system resources.

๐Ÿ‘‰ 9. Exception Handling:

Helps prevent unexpected crashes by managing runtime errors effectively.

๐Ÿ‘‰ 10. Java Class Loader:

Dynamically loads classes securely, preventing unauthorized code execution.

๐Ÿ’ก These features make Java a trusted choice for secure and reliable application development.

More Tips & Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
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