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Preparing for a data science interview can be challenging, but with the right approach, you can increase your chances of success. Here are some tips to help you prepare for your next data science interview:

๐Ÿ‘‰ 1. Review the Fundamentals: Make sure you have a thorough understanding of the fundamentals of statistics, probability, and linear algebra. You should also be familiar with data structures, algorithms, and programming languages like Python, R, and SQL.

๐Ÿ‘‰ 2. Brush up on Machine Learning: Machine learning is a key aspect of data science. Make sure you have a solid understanding of different types of machine learning algorithms like supervised, unsupervised, and reinforcement learning.

๐Ÿ‘‰ 3. Practice Coding: Practice coding questions related to data structures, algorithms, and data science problems. You can use online resources like HackerRank, LeetCode, and Kaggle to practice.

๐Ÿ‘‰ 4. Build a Portfolio: Create a portfolio of projects that demonstrate your data science skills. This can include data cleaning, data wrangling, exploratory data analysis, and machine learning projects.

๐Ÿ‘‰ 5. Practice Communication: Data scientists are expected to effectively communicate complex technical concepts to non-technical stakeholders. Practice explaining your projects and technical concepts in simple terms.

๐Ÿ‘‰ 6. Research the Company: Research the company you are interviewing with and their industry. Understand how they use data and what data science problems they are trying to solve.

Learn DatA & AI: https://365datascience.pxf.io/Z6KDgk

Free Notes & Books to learn Data Science: https://t.me/datascienceresourcestp

Python Project Ideas: https://t.me/pythonresourcestp/74

Best Resources to learn Data Science ๐Ÿ‘‡๐Ÿ‘‡

Python Tutorial (http://pythontutorial.net/)

Data Science Course (http://kaggle.com/learn) by Kaggle

Machine Learning Course (http://developers.google.com/machine-learning/crash-course) by Google

Best Data Science & Machine Learning Resources (https://topmate.io/learning_resources/1406977)

Interview Process for Data Science Role at Amazon (https://t.me/datascienceresourcestp/85)

Python Interview Resources (https://t.me/pythonresourcestp/40)

Join for more free courses
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The economy is a priority for many. A recent poll indicates people's concerns about rising costs and financial stability. Stay tuned for expert insights and tips on navigating these challenges! ๐Ÿ’ฐ๐Ÿ“Š

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Google, IBM, Stanford are offering over 7000+ FREE courses.

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Google Advanced Data Analytics
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Artificial Intelligence (AI)
โ—พ๏ธhttps://www.coursera.org/learn/introduction-to-ai

IBM Data Science
โ—พ๏ธhttps://www.coursera.org/professional-certificates/ibm-data-science

Natural Language Processing Specialization
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Machine Learning Specialization
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IBM Python for Data Science, AI & Development
โ—พ๏ธhttps://www.coursera.org/learn/python-for-applied-data-science-ai

Meta Front-End Developer
โ—ฝ๏ธhttps://www.coursera.org/professional-certificates/meta-front-end-developer

Learn Python Basics for Data Analysis
โ—พ๏ธhttps://www.coursera.org/learn/data-analysis-with-python

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Anonymous Poll
75%
Both (From Countries & Remote)
25%
Only Remote
8 Best Note-Taking Apps for Programmers

๐Ÿ“œ Notion
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๐Ÿ“œ Quiver
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๐Ÿ“œ Boostnote
๐Ÿ“œ Stackedit
๐Ÿ“œ Evernote
๐Ÿ“œ Microsoft onenote
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โœณ๏ธ Hแดแดก Sแดแด„ษชแด€สŸ Eษดษขษชษดแด‡แด‡ส€ษชษดษข Wแดส€แด‹s?

๐ŸŒ€ษขแด€แด›สœแด‡ส€ ษชษดา“แดส€แดแด€แด›ษชแดษด: แด›สœษชs ษชs แด›สœแด‡ า“ษชส€sแด› sแด›แด€ษขแด‡, สœแด‡ สŸแด‡แด€ส€ษดs แด€s แดแดœแด„สœ แด€s สœแด‡ แด„แด€ษด แด€ส™แดแดœแด› แด›สœแด‡ ษชษดแด›แด‡ษดแด…แด‡แด… แด ษชแด„แด›ษชแด. แด›สœแด‡ ษชษดา“แดส€แดแด€แด›ษชแดษด ษชs ษขแด€แด›สœแด‡ส€แด‡แด… า“ส€แดแด แด„แดแดแด˜แด€ษดส แดกแด‡ส™sษชแด›แด‡s, แดแด›สœแด‡ส€ แด˜แดœส™สŸษชแด„แด€แด›ษชแดษดs แด€ษดแด… sแดแดแด‡แด›ษชแดแด‡s ส™ส แด›แด€สŸแด‹ษชษดษข แด›แด แด›สœแด‡ แดœsแด‡ส€s แดา“ แด›สœแด‡ แด›แด€ส€ษขแด‡แด› sสsแด›แด‡แด.

๐ŸŒ€แด˜สŸแด€ษด แด€แด›แด›แด€แด„แด‹: แด›สœแด‡ แด€แด›แด›แด€แด„แด‹แด‡ส€s แดแดœแด›สŸษชษดแด‡ สœแดแดก สœแด‡/sสœแด‡ ษชษดแด›แด‡ษดแด…s แด›แด แด‡xแด‡แด„แดœแด›แด‡ แด›สœแด‡ แด€แด›แด›แด€แด„แด‹

๐ŸŒ€แด€แด„ฯ™แดœษชส€แด‡ แด›แดแดสŸs: แด›สœแด‡sแด‡ ษชษดแด„สŸแดœแด…แด‡ แด„แดแดแด˜แดœแด›แด‡ส€ แด˜ส€แดษขส€แด€แดs แด›สœแด€แด› แด€ษด แด€แด›แด›แด€แด„แด‹แด‡ส€ แดกษชสŸสŸ แดœsแด‡ แดกสœแด‡ษด สŸแด€แดœษดแด„สœษชษดษข แด›สœแด‡ แด€แด›แด›แด€แด„แด‹.

๐ŸŒ€แด€แด›แด›แด€แด„แด‹: แด‡xแด˜สŸแดษชแด› แด›สœแด‡ แดกแด‡แด€แด‹ษดแด‡ssแด‡s ษชษด แด›สœแด‡ แด›แด€ส€ษขแด‡แด› sสsแด›แด‡แด.

๐ŸŒ€แดœsแด‡ แด€แด„ฯ™แดœษชส€แด‡แด… แด‹ษดแดแดกสŸแด‡แด…ษขแด‡: ษชษดา“แดส€แดแด€แด›ษชแดษด ษขแด€แด›สœแด‡ส€แด‡แด… แด…แดœส€ษชษดษข แด›สœแด‡ sแดแด„ษชแด€สŸ แด‡ษดษขษชษดแด‡แด‡ส€ษชษดษข แด›แด€แด„แด›ษชแด„s sแดœแด„สœ แด€s แด˜แด‡แด› ษดแด€แดแด‡s, ส™ษชส€แด›สœแด…แด€แด›แด‡s แดา“ แด›สœแด‡ แดส€ษขแด€ษดษชแดขแด€แด›ษชแดษด า“แดแดœษดแด…แด‡ส€s, แด‡แด›แด„. ษชs แดœsแด‡แด… ษชษด แด€แด›แด›แด€แด„แด‹s sแดœแด„สœ แด€s แด˜แด€ssแดกแดส€แด… ษขแดœแด‡ssษชษดษข.

What is CTF & How to solve CTF: https://t.me/zerotrusthackers/75

Red Team Free Course: https://t.me/zerotrusthackers/68

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Password Attacks: https://t.me/zerotrusthackers/67

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Forwarded from SQL Resources TP
๐Ÿฑ ๐—ฆ๐—ค๐—Ÿ ๐— ๐˜†๐˜๐—ต๐˜€ ๐——๐—ฒ๐—ฏ๐˜‚๐—ป๐—ธ๐—ฒ๐—ฑ โŒ ๐—ช๐—ต๐—ฎ๐˜ ๐—•๐—ฒ๐—ด๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ๐˜€ ๐—ข๐—ณ๐˜๐—ฒ๐—ป ๐—š๐—ฒ๐˜ ๐—ช๐—ฟ๐—ผ๐—ป๐—ด
SQL is super powerful, but some myths around it can trip up beginners. Letโ€™s clear up five common misunderstandings and set the record straight:

๐— ๐˜†๐˜๐—ต ๐Ÿญ: ๐—ฆ๐—ค๐—Ÿ ๐—ถ๐˜€ ๐—ท๐˜‚๐˜€๐˜ ๐—ณ๐—ผ๐—ฟ ๐—ฝ๐˜‚๐—น๐—น๐—ถ๐—ป๐—ด ๐—ฑ๐—ฎ๐˜๐—ฎ.
โœฆ ๐—ฅ๐—ฒ๐—ฎ๐—น๐—ถ๐˜๐˜†: Nope, itโ€™s not just for that! SQL can also create, modify, and manage databases, control access, and maintain data consistency.
โœฆ ๐—™๐—ถ๐˜… ๐—ถ๐˜: Explore all the features of SQL, like DDL (for database design), DCL (for access control), and TCL (for transactions). It's more than just SELECT!

๐— ๐˜†๐˜๐—ต ๐Ÿฎ: ๐—จ๐˜€๐—ถ๐—ป๐—ด ๐—ฆ๐—˜๐—Ÿ๐—˜๐—–๐—ง * ๐—ถ๐˜€ ๐—ณ๐—ถ๐—ป๐—ฒ.
โœฆ ๐—ฅ๐—ฒ๐—ฎ๐—น๐—ถ๐˜๐˜†: It might be easy, but itโ€™s not efficient. Pulling all columns wastes memory and slows down performance.
โœฆ ๐—™๐—ถ๐˜… ๐—ถ๐˜: Only select the columns you actually need. Itโ€™s faster and cleaner.
Not great - SELECT * FROM employees;
Better - SELECT employee_id, name, department FROM employees;

๐— ๐˜†๐˜๐—ต ๐Ÿฏ: ๐—ฆ๐—ค๐—Ÿ ๐—ฐ๐—ฎ๐—ป'๐˜ ๐—ต๐—ฎ๐—ป๐—ฑ๐—น๐—ฒ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ฒ๐˜… ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐—ถ๐˜€.
โœฆ ๐—ฅ๐—ฒ๐—ฎ๐—น๐—ถ๐˜๐˜†: SQL can do way more than basic queries! With concepts like window functions and CTEs, you can handle really complex data analysis.
โœฆ ๐—™๐—ถ๐˜… ๐—ถ๐˜: Learn advanced SQL features like window functions (ROW_NUMBER(), RANK()) and CTEs to up your game.
Example - Ranking employees by salary within their department
WITH ranked_salaries AS (SELECT employee_id, salary, department,
ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC) AS rank FROM employees)
SELECT * FROM ranked_salaries WHERE rank = 1;

๐— ๐˜†๐˜๐—ต ๐Ÿฐ: ๐—ฆ๐—น๐—ผ๐˜„ ๐—พ๐˜‚๐—ฒ๐—ฟ๐—ถ๐—ฒ๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—ฎ๐—น๐˜„๐—ฎ๐˜†๐˜€ ๐˜๐—ต๐—ฒ ๐—ฑ๐—ฎ๐˜๐—ฎ๐—ฏ๐—ฎ๐˜€๐—ฒโ€™๐˜€ ๐—ณ๐—ฎ๐˜‚๐—น๐˜.
โœฆ ๐—ฅ๐—ฒ๐—ฎ๐—น๐—ถ๐˜๐˜†: Itโ€™s usually inefficient queries causing the slowdown. Things like missing indexes or unoptimized code can be the culprit.
โœฆ ๐—™๐—ถ๐˜… ๐—ถ๐˜: Use indexes properly, avoid complex calculations in WHERE clauses, and check your query execution plan to spot bottlenecks.

๐— ๐˜†๐˜๐—ต ๐Ÿฑ: ๐—ฆ๐—ค๐—Ÿ ๐—ถ๐˜€ ๐—ผ๐˜‚๐˜๐—ฑ๐—ฎ๐˜๐—ฒ๐—ฑ ๐—ฎ๐—ป๐—ฑ ๐˜„๐—ถ๐—น๐—น ๐—ฏ๐—ฒ ๐—ฟ๐—ฒ๐—ฝ๐—น๐—ฎ๐—ฐ๐—ฒ๐—ฑ ๐˜€๐—ผ๐—ผ๐—ป.
โœฆ ๐—ฅ๐—ฒ๐—ฎ๐—น๐—ถ๐˜๐˜†: SQL is here to stay! Despite the rise of NoSQL, SQL remains the backbone for structured data.
โœฆ ๐—™๐—ถ๐˜… ๐—ถ๐˜: Stay current and explore how SQL integrates with big data platforms and cloud databases. Itโ€™s more relevant than ever.

Donโ€™t let these myths hold you back. SQL is powerful, and when you understand it fully, you can do amazing things with your data.

SQL Relational Database Free Course Here: https://tinyurl.com/42nau8jx

Learn & Practice SQL (https://bit.ly/4kNb15x)

SQL Topics for Data Analysts (https://t.me/sqlresourcestp/83)

SQL Udacity Course (https://udacity.com/course/sql-for-data-analysis--ud198)

Download SQL Cheatsheet (https://t.me/sqlresourcestp/4)

Also try to apply what you learn through hands-on projects or challenges.

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

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

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Hope it helps :)
What are public and private keys?

Your blockchain wallet has a โ€œprivate keyโ€ and a โ€œpublic key.โ€

You shouldnโ€™t show or reveal the private key to anyone because it gives access to your coins.

The public key, however, can be shown to anyone.

Moreover, your public key is your walletโ€™s address, where coins are sent to you.

In simple terms:

The private key is the key that gives you access to your coins; the public key is the code used to receive cryptocurrency at your address.What are public and private keys?

Your blockchain wallet has a โ€œprivate keyโ€ and a โ€œpublic key.โ€

You shouldnโ€™t show or reveal the private key to anyone because it gives access to your coins.

The public key, however, can be shown to anyone.

Moreover, your public key is your walletโ€™s address, where coins are sent to you.

In simple terms:

The private key is the key that gives you access to your coins; the public key is the code used to receive cryptocurrency at your address.

Funding in Crypto Trading: https://t.me/techpsyche/766

Choosing the right Exchange: https://t.me/techpsyche/774

Types of stablecoins: https://t.me/techpsyche/789

More Resources Here:
https://whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M

#crypto #web3 #blockchain #finance #stocks
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๐Ÿ‘1
Top 10 Programming Languages to learn in 2025 (With Free Resources to learn) :-

1. Python
- learnpython.org
- t.me/pythonresourcestp

2. Java
- learnjavaonline.org
- t.me/javaresourcestp

3. C#
- learncs.org
- w3schools.com

4. JavaScript
- learnjavascript.online
- t.me/javascriptresourcestp

5. Rust
- rust-lang.org
- exercism.org

6. Go Programming
- go.dev
- learn-golang.org

7. Kotlin
- kotlinlang.org
- w3schools.com/KOTLIN

8. TypeScript
- Typescriptlang.org
- learntypescript.dev

9. SQL
- datasimplifier.com
- t.me/sqlresourcestp

10. R Programming
- w3schools.com/r/
- r-coder.com

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

3 FREE Courses by Google, Microsoft & LinkedIn
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ML Crash Course by Google
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IBM Free Courses with Certification
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ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

Follow this WhatsApp Channel for More Resources
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
๐Ÿ‘2
If you want to Excel as a Data Analyst, master these powerful skills:

* SQL Queries โ€“ SELECT, JOINs, GROUP BY, CTEs, Window Functions
* Excel Functions โ€“ VLOOKUP, XLOOKUP, PIVOT TABLES, POWER QUERY
* Data Cleaning โ€“ Handle missing values, duplicates, and inconsistencies
* Python for Data Analysis โ€“ Pandas, NumPy, Matplotlib, Seaborn
* Data Visualization โ€“ Create dashboards in Power BI/Tableau
* Statistical Analysis โ€“ Hypothesis testing, correlation, regression
* ETL Process โ€“ Extract, Transform, Load data efficiently
* Business Acumen โ€“ Understand industry-specific KPIs
* A/B Testing โ€“ Data-driven decision-making
* Storytelling with Data โ€“ Present insights effectively

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๐—ง๐—–๐—ฆ ๐—ถ๐˜€ ๐—ข๐—ณ๐—ณ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐—ฎ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฒ๐—ฑ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ ๐—ถ๐—ป ๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐— ๐—ฎ๐—ป๐—ฎ๐—ด๐—ฒ๐—บ๐—ฒ๐—ป๐˜

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๐‹๐ข๐ง๐ค๐Ÿ‘‡:-

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