Available now! Telegram Research 2025 โ the year's key insights 
Coding Projects
Open in Telegram
Channel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data
Show more๐ Analytical overview of Telegram channel Coding Projects
Channel Coding Projects (@programming_experts) in the English language segment is an active participant. Currently, the community unites 66 133 subscribers, ranking 1 978 in the Technologies & Applications category and 5 188 in the India region.
๐ Audience metrics and dynamics
Since its creation on ะฝะตะฒัะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 66 133 subscribers.
According to the latest data from 15 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 828 over the last 30 days and by 27 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 3.25%. Within the first 24 hours after publication, content typically collects 1.30% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 147 views. Within the first day, a publication typically gains 861 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 6.
- Thematic interests: Content is focused on key topics such as |--, algorithm, array, framework, javascript.
๐ Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
โChannel specialized for advanced concepts and projects to master:
* Python programming
* Web development
* Java programming
* Artificial Intelligence
* Machine Learning
Managed by: @love_dataโ
Thanks to the high frequency of updates (latest data received on 16 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
66 133
Subscribers
+2724 hours
+2117 days
+82830 days
Posts Archive
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๐ Project Ideas for a data analyst
Customer Segmentation: Analyze customer data to segment them based on their behaviors, preferences, or demographics, helping businesses tailor their marketing strategies.
Churn Prediction: Build a model to predict customer churn, identifying factors that contribute to churn and proposing strategies to retain customers.
Sales Forecasting: Use historical sales data to create a predictive model that forecasts future sales, aiding inventory management and resource planning.
Market Basket Analysis: Analyze
transaction data to identify associations between products often purchased together, assisting retailers in optimizing product placement and cross-selling.
Sentiment Analysis: Analyze social media or customer reviews to gauge public sentiment about a product or service, providing valuable insights for brand reputation management.
Healthcare Analytics: Examine medical records to identify trends, patterns, or correlations in patient data, aiding in disease prediction, treatment optimization, and resource allocation.
Financial Fraud Detection: Develop algorithms to detect anomalous transactions and patterns in financial data, helping prevent fraud and secure transactions.
A/B Testing Analysis: Evaluate the results of A/B tests to determine the effectiveness of different strategies or changes on websites, apps, or marketing campaigns.
Energy Consumption Analysis: Analyze energy usage data to identify patterns and inefficiencies, suggesting strategies for optimizing energy consumption in buildings or industries.
Real Estate Market Analysis: Study housing market data to identify trends in property prices, rental rates, and demand, assisting buyers, sellers, and investors in making informed decisions.
Remember to choose a project that aligns with your interests and the domain you're passionate about.
Data Analyst Roadmap
๐๐
https://t.me/sqlspecialist/379
ENJOY LEARNING ๐๐
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๐๐ฅ๐๐ ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐
Feeling like your resume could use a boost? ๐
Letโs make that happen with Microsoft Azure certifications that are not only perfect for beginners but also completely free!๐ฅ๐ฏ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4iVRmiQ
Essential skills for todayโs tech-driven worldโ
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Software development is complex, and the fancy names don't help.
Hashing vs. Encryption vs. Encoding
๐๐ฎ๐๐ต๐ถ๐ป๐ด
This is a one-way process used for data integrity verification.
When you hash data, you get a unique string representing the original data.
It's a one-way street; once you hash something, you can't get the original data back from the hash.
While multiple values can theoretically yield the same hash, well-crafted cryptographic hash functions make such collisions incredibly rare and nearly impossible to compute.
This property makes it perfect for verifying if someone altered the data.
If even one-bit changes in the original data, the hash changes dramatically.
๐๐ป๐ฐ๐ฟ๐๐ฝ๐๐ถ๐ผ๐ป
This is the real deal when it comes to data security.
It uses algorithms and keys to transform readable data (plaintext) into an unreadable format (ciphertext).
Only those with the correct key can unlock (decrypt) the data and read it.
This process is reversible, unlike hashing.
Encryption is critical for protecting sensitive data from unauthorized access.
๐๐ป๐ฐ๐ผ๐ฑ๐ถ๐ป๐ด
This is all about data representation.
It converts data from one format to another, making it easier to interpret and display.
Common formats:
โข Base64
โข UTF-8
โข ASCII
Encoding does NOT provide security! It's for data transmission and storage convenience.
One common use of hashing is for secure password storage.
When you create an account or set a password, the system hashes and stores the password in the database.
During login, the system hashes the provided password and compares it to the stored hash without revealing the password.
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๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ณ๐ฟ๐ผ๐บ ๐๐ผ๐ผ๐ด๐น๐ฒ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ โ ๐๐ผ๐ฟ ๐๐ฟ๐ฒ๐ฒ!๐
Want to break into machine learning but not sure where to start?๐ป
Googleโs Machine Learning Crash Course is the perfect launchpadโabsolutely free, beginner-friendly, and created by the engineers behind the tools.๐จโ๐ป๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4jEiJOe
All The Best ๐
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Python Interview Questions โ Part 1
1. What is Python?
Python is a high-level, interpreted programming language known for its readability and wide range of libraries.
2. Is Python statically typed or dynamically typed?
Dynamically typed. You don't need to declare data types explicitly.
3. What is the difference between a list and a tuple?
List is mutable, can be modified.
Tuple is immutable, cannot be changed after creation.
4. What is indentation in Python?
Indentation is used to define blocks of code. Python strictly relies on indentation instead of brackets {}.
5. What is the output of this code?
x = [1, 2, 3]
print(x * 2)
Answer: [1, 2, 3, 1, 2, 3]
6. Write a Python program to check if a number is even or odd.
num = int(input("Enter number: "))
if num % 2 == 0:
print("Even")
else:
print("Odd")
7. What is a Python dictionary?
A collection of key-value pairs. Example:
person = {"name": "Alice", "age": 25}
8. Write a function to return the square of a number.
def square(n):
return n * n
Coding Interviews: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
ENJOY LEARNING ๐๐
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๐๐ฅ๐๐ ๐ข๐ณ๐ณ๐น๐ถ๐ป๐ฒ ๐๐ฒ๐บ๐ผ ๐๐น๐ฎ๐๐ ๐๐ป ๐๐๐ฑ๐ฒ๐ฟ๐ฎ๐ฏ๐ฎ๐ฑ/๐ฃ๐๐ป๐ฒ๐
Master Coding Skills & Get Your Dream Job In Top Tech Companies
Designed by Top 1% from IITs and top MNCs.
๐๐ถ๐ด๐ต๐น๐ถ๐ด๐ต๐๐ฒ๐:-
- Get hands-on coding experience
- Placement assistance
- 60 hiring drives each month
๐๐ผ๐ผ๐ธ ๐ฎ ๐๐ฅ๐๐ ๐ข๐ณ๐ณ๐น๐ถ๐ป๐ฒ ๐๐ฒ๐บ๐ผ๐:-
๐๐๐ฑ๐ฒ๐ฟ๐ฎ๐ฏ๐ฎ๐ฑ :- https://pdlink.in/4cJUWtx
๐ฃ๐๐ป๐ฒ :- https://pdlink.in/3YA32zi
( Limited Slots )
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๐๐ฅ๐๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ง๐ผ ๐ฆ๐ธ๐๐ฟ๐ผ๐ฐ๐ธ๐ฒ๐ ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ๐
Whether youโre diving into AI, learning Python, mastering marketing, or sharpening your Excel skills๐
These free courses offer everything you need to stay ahead in tech, data, and business๐จโ๐ป
๐๐ข๐ง๐ค๐:-
https://pdlink.in/49UMXbO
๐ Start your learning journey todayโabsolutely free!โ
๏ธ
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๐ Top 10 Tools Data Scientists Love! ๐ง
In the ever-evolving world of data science, staying updated with the right tools is crucial to solving complex problems and deriving meaningful insights.
๐ Hereโs a quick breakdown of the most popular tools:
1. Python ๐: The go-to language for data science, favored for its versatility and powerful libraries.
2. SQL ๐ ๏ธ: Essential for querying databases and manipulating data.
3. Jupyter Notebooks ๐: An interactive environment that makes data analysis and visualization a breeze.
4. TensorFlow/PyTorch ๐ค: Leading frameworks for deep learning and neural networks.
5. Tableau ๐: A user-friendly tool for creating stunning visualizations and dashboards.
6. Git & GitHub ๐ป: Version control systems that every data scientist should master.
7. Hadoop & Spark ๐ฅ: Big data frameworks that help process massive datasets efficiently.
8. Scikit-learn ๐งฌ: A powerful library for machine learning in Python.
9. R ๐: A statistical programming language that is still a favorite among many analysts.
10. Docker ๐: A must-have for containerization and deploying applications.
I have curated the best interview resources to crack Data Science Interviews
๐๐
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
Like if you need similar content ๐๐
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๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐ฉ๐ถ๐ฟ๐๐๐ฎ๐น ๐๐ป๐๐ฒ๐ฟ๐ป๐๐ต๐ถ๐ฝ ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐ ๐๐ป ๐ง๐ผ๐ฝ ๐๐ผ๐บ๐ฝ๐ฎ๐ป๐ถ๐ฒ๐๐
1๏ธโฃ BCG Data Science & Analytics Virtual Experience
2๏ธโฃ TATA Data Visualization Internship
3๏ธโฃ Accenture Data Analytics Virtual Internship
๐๐ข๐ง๐ค๐:-
https://pdlink.in/409RHXN
Enroll for FREE & Get Certified ๐
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2 VERY IMPORTANT MISAKES to avoid for job seekers
Trying or struggling to get Interview Calls
Let me summarise.
Many job applicants for analytics roles (also applicable for other roles) often get frustrated with receiving no interview calls DESPITE putting a lot of good projects, certifications and even their prior experience.
There are probably 2 key yet common mistakes you could be making during your application:
๐. ๐๐จ๐ฎ๐ซ ๐๐๐ฌ๐ฎ๐ฆ๐ ๐๐ฌ๐ง'๐ญ ๐๐๐ข๐ฅ๐จ๐ซ๐๐ ๐
๐จ๐ซ ๐๐ก๐ ๐๐จ๐ฅ๐
- Companies use an ATS to scan for relevant profiles amongst 100 of applications based on finding relevant key words.
- Ensure you update your resume to include the skills they're looking for.
- This will increase the chance of the ATS picking up on your resume.
๐. ๐๐ฎ๐ข๐ฅ๐ ๐๐จ๐ฎ๐ซ ๐๐ข๐ง๐ค๐๐๐๐ง ๐๐ซ๐จ๐๐ข๐ฅ๐ & ๐๐๐ญ๐ข๐ฏ๐ข๐ญ๐ฒ- - - - - If your resume reaches the technical/hiring team - they'll want to get more information about you.
- Their Next Stop - YOUR LINKEDIN PROFILE
- Update your certifications/skills & upload your key projects.
- Be Active and Share Your Learnings.
- This builds your credibility in their eyes
Remember....
You're competing against large pool of equally or more talented individuals like yourself.
On A Technical And Accomplishment level, you might on par with others.
Then it goes down to who can stand out from the rest.
Luck can play a huge role, but so can being strategic in your application.
Leave no stone unturned.
Join our WhatsApp channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
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๐๐ฅ๐๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ง๐ผ ๐จ๐ฝ๐ด๐ฟ๐ฎ๐ฑ๐ฒ ๐ฌ๐ผ๐๐ฟ ๐ฆ๐ธ๐ถ๐น๐น๐ ๐๐ป ๐ฎ๐ฌ๐ฎ๐ฑ๐
Explore top-notch courses to build expertise in cloud computing, data analysis, and visualizationโall 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)
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3Phz4Li
Start learning today and transform your career! ๐
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Master Frontend to Backend in 150 Days๐ฉโ๐ป
Days:1 - 30
Learn HTML, CSS, and JavaScript
Days: 31 - 60
Master React.js and Build Interfaces
Days: 61 - 90
Explore MongoDB and learn how to work
with Databases
Days: 91 - 120
Dive into Node.js and learn the basics of
server-side development
Days: 121 - 150
Bring it all together by learning Express.js
and building full-stack applications
Free Resources on WhatsApp
๐๐
https://whatsapp.com/channel/0029VaxfCpv2v1IqQjv6Ke0r
ENJOY LEARNING ๐๐
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Repost from Power BI & Tableau Resources
๐ฑ ๐๐ฟ๐ฒ๐ฒ ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ฌ๐ผ๐ ๐๐ฎ๐ปโ๐ ๐ ๐ถ๐๐๐
Microsoft Learn is offering 5 must-do courses for aspiring data scientists, absolutely free๐ฅ๐
These self-paced learning modules are designed by industry experts and cover everything from Python and ML to Microsoft Fabric and Azure๐ฏ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4iSWjaP
Job-ready content that gets you resultsโ
๏ธ
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Repost from Jobs | Internships | Placement | Interviews
๐ฐ ๐๐ฒ๐๐ ๐๐ผ๐ฑ๐ถ๐ป๐ด ๐๐ฎ๐บ๐ฒ๐ ๐ง๐ต๐ฎ๐ ๐ ๐ฎ๐ธ๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด ๐ฆ๐๐ฝ๐ฒ๐ฟ ๐๐๐ป ๐ฎ๐ป
Tired of boring tutorials? ๐จโ๐ปโ๏ธ
Say hello to coding gamesโa powerful (and fun) way to learn programming by playing๐ป๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4d3qwma
Forget the lecturesโcode, play, and grow your skills with these interactive platforms!โ
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10 Coding Project Ideas to Boost Your Portfolio
โ
To-Do List App โ Practice CRUD operations and UI/UX basics
โ
Weather App (API) โ Learn to work with real-time APIs
โ
Blog Website โ Build full-stack with auth, CMS, and comments
โ
Portfolio Website โ Showcase your skills and projects professionally
โ
Expense Tracker โ Handle forms, charts, and local storage
โ
Chat App โ Real-time messaging using WebSockets or Firebase
โ
Movie Recommendation System โ Intro to ML with collaborative filtering
โ
E-commerce Store โ Simulate cart, checkout, payment logic
โ
SQL Dashboard with Power BI/Tableau โ Combine backend + data viz skills
โ
AI Chatbot โ Use NLP libraries like spaCy or transformers
Python Projects: https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a
ENJOY LEARNING ๐๐
