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Больше📈 Аналитический обзор Telegram-канала Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses
Канал Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses (@udacityfreecourse) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 47 321 подписчиков, занимая 3 742 место в категории Образование и 7 920 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 47 321 подписчиков.
Согласно последним данным от 03 июля, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -355, а за последние 24 часа — -8, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 1.38%. В первые 24 часа после публикации контент обычно набирает 0.66% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 651 просмотров. В течение первых суток публикация набирает 312 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 2.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как |--, learning, javascript, analytic, certification.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“👉Udacity, Microsoft, Edx, Google and Eduonix courses for free
👉Get premium Free courses from top websites
👉We also provide discount coupon codes for premium Udacity courses to help you as much as we can
For promotions: @love_data”
Благодаря высокой частоте обновлений (последние данные получены 04 июля, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.
47 321
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-824 часа
-727 дней
-35530 день
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| 03 июля | +7 | |||
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Посты канала
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| 2 | Important Topics You Should Know to Learn Python 👇
Lists, Strings, Tuples, Dictionaries, Sets – Learn the core data structures in Python.
Boolean, Arithmetic, and Comparison Operators – Understand how Python evaluates conditions.
Operations on Data Structures – Append, delete, insert, reverse, sort, and manipulate collections efficiently.
Reading and Extracting Data – Learn how to access, modify, and extract values from lists and dictionaries.
Conditions and Loops – Master if, elif, else, for, while, break, and continue statements.
Range and Enumerate – Efficiently loop through sequences with indexing.
Functions – Create functions with and without parameters, and understand *args and **kwargs.
Classes & Object-Oriented Programming – Work with init methods, global/local variables, and concepts like inheritance and encapsulation.
File Handling – Read, write, and manipulate files in Python.
Free Resources to learn Python👇👇
👉 Free Python course by Google
https://developers.google.com/edu/python
👉 Freecodecamp Python course
https://www.freecodecamp.org/learn/data-analysis-with-python/#
👉 Udacity Intro to Python course
https://bit.ly/3FOOQHh
👉Python Cheatsheet
https://t.me/pythondevelopersindia/262?single
👉 Practice Python
http://www.pythonchallenge.com/
👉 Kaggle
https://kaggle.com/learn/intro-to-programming
https://kaggle.com/learn/python
👉 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹𝘀 𝗶𝗻 𝗣𝘆𝘁𝗵𝗼𝗻
https://netacad.com/courses/programming/pcap-programming-essentials-python
👉 Python Essentials
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
https://t.me/dsabooks
👉 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝗳𝗶𝗰 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻
https://freecodecamp.org/learn/scientific-computing-with-python/
👉 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻
https://freecodecamp.org/learn/data-analysis-with-python/
👉 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻
https://freecodecamp.org/learn/machine-learning-with-python/
ENJOY LEARNING 👍👍 | 160 |
| 3 |  🎓 𝗟𝗲𝗮𝗿𝗻 𝗳𝗿𝗼𝗺 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝘄𝗼𝗿𝗹𝗱’𝘀 𝘁𝗼𝗽 𝘂𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝗶𝗲𝘀 — 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘!
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𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-
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🔥 Don’t miss this opportunity to upgrade your career with world-class learning. | 222 |
| 4 |  ☁️ 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗔𝗪𝗦 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 | 𝗙𝗥𝗘𝗘 𝗔𝗪𝗦 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀🚀
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🚀 Start Learning Today. Build Cloud Skills. Accelerate Your Tech Career! | 275 |
| 5 | ✔️ 10 Books to Understand How Large Language Models Function (2026)
1. Deep Learning
https://deeplearningbook.org
The definitive reference for neural networks, covering backpropagation, architectures, and foundational concepts.
2. Artificial Intelligence: A Modern Approach
https://aima.cs.berkeley.edu
A fundamental perspective on artificial intelligence as a comprehensive system.
3. Speech and Language Processing
https://web.stanford.edu/~jurafsky/slp3/
An in-depth examination of natural language processing, transformers, and linguistics.
4. Machine Learning: A Probabilistic Perspective
https://probml.github.io/pml-book/
An exploration of probabilities, statistics, and the theoretical foundations of machine learning.
5. Understanding Deep Learning
https://udlbook.github.io/udlbook/
A contemporary explanation of deep learning principles with strong intuitive insights.
6. Designing Machine Learning Systems
https://oreilly.com/library/view/designing-machine-learning/9781098107956/
Strategies for deploying models into production environments.
7. Generative Deep Learning
https://github.com/3p5ilon/ML-books/blob/main/generative-deep-learning-teaching-machines-to-paint-write-compose-and-play.pdf
Practical applications of generative models and transformer architectures.
8. Natural Language Processing with Transformers
https://dokumen.pub/natural-language-processing-with-transformers-revised-edition-1098136799-9781098136796-9781098103248.html
Methodologies for constructing natural language processing systems based on transformers.
9. Machine Learning Engineering
https://mlebook.com
Principles of machine learning engineering and operational deployment.
10. The Hundred-Page Machine Learning Book
https://themlbook.com
A highly concentrated foundational overview without extraneous detail. 📚🤖 | 367 |
| 6 |  🚀 𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗔𝗜 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗪𝗶𝘁𝗵 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗶𝗼𝗻 𝗕𝗮𝗱𝗴𝗲𝘀 🔥
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| 7 |  𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝐖𝐢𝐭𝐡 𝗙𝗥𝗘𝗘 𝗖𝗶𝘀𝗰𝗼 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 + 𝗦𝗵𝗼𝘄𝗰𝗮𝘀𝗲 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗕𝗮𝗱𝗴𝗲𝘀
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🚀 Start Learning Today. Earn Official Cisco Badges. Get Career Ready! | 365 |
| 8 |  Exactly 💯 | 428 |
| 9 | 🌐 Complete Roadmap to Become a Web Developer
📂 1. Learn the Basics of the Web
– How the internet works
– What is HTTP/HTTPS, DNS, Hosting, Domain
– Difference between frontend & backend
📂 2. Frontend Development (Client-Side)
∟📌 HTML – Structure of web pages
∟📌 CSS – Styling, Flexbox, Grid, Media Queries
∟📌 JavaScript – DOM Manipulation, Events, ES6+
∟📌 Responsive Design – Mobile-first approach
∟📌 Version Control – Git & GitHub
📂 3. Advanced Frontend
∟📌 JavaScript Frameworks/Libraries – React (recommended), Vue or Angular
∟📌 Package Managers – npm or yarn
∟📌 Build Tools – Webpack, Vite
∟📌 APIs – Fetch, REST API integration
∟📌 Frontend Deployment – Netlify, Vercel
📂 4. Backend Development (Server-Side)
∟📌 Choose a Language – Node.js (JavaScript), Python, PHP, Java, etc.
∟📌 Databases – MongoDB (NoSQL), MySQL/PostgreSQL (SQL)
∟📌 Authentication & Authorization – JWT, OAuth
∟📌 RESTful APIs / GraphQL
∟📌 MVC Architecture
📂 5. Full-Stack Skills
∟📌 MERN Stack – MongoDB, Express, React, Node.js
∟📌 CRUD Operations – Create, Read, Update, Delete
∟📌 State Management – Redux or Context API
∟📌 File Uploads, Payment Integration, Email Services
📂 6. Testing & Optimization
∟📌 Debugging – Chrome DevTools
∟📌 Performance Optimization
∟📌 Unit & Integration Testing – Jest, Cypress
📂 7. Hosting & Deployment
∟📌 Frontend – Netlify, Vercel
∟📌 Backend – Render, Railway, or VPS (e.g. DigitalOcean)
∟📌 CI/CD Basics
📂 8. Build Projects & Portfolio
– Blog App
– E-commerce Site
– Portfolio Website
– Admin Dashboard
📂 9. Keep Learning & Contributing
– Contribute to open-source
– Stay updated with trends
– Practice on platforms like LeetCode or Frontend Mentor
✅ Apply for internships/jobs with a strong GitHub + portfolio!
👍 Tap ❤️ for more! | 414 |
| 10 |  🚀 𝗙𝗿𝗲𝗲 𝗦𝗤𝗟 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 📊💻
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🔥 Start learning SQL today and prepare for high-paying careers in Data Analytics & Data Science. | 436 |
| 11 | Complete roadmap to learn Python for data analysis
Step 1: Fundamentals of Python
1. Basics of Python Programming
- Introduction to Python
- Data types (integers, floats, strings, booleans)
- Variables and constants
- Basic operators (arithmetic, comparison, logical)
2. Control Structures
- Conditional statements (if, elif, else)
- Loops (for, while)
- List comprehensions
3. Functions and Modules
- Defining functions
- Function arguments and return values
- Importing modules
- Built-in functions vs. user-defined functions
4. Data Structures
- Lists, tuples, sets, dictionaries
- Manipulating data structures (add, remove, update elements)
Step 2: Advanced Python
1. File Handling
- Reading from and writing to files
- Working with different file formats (txt, csv, json)
2. Error Handling
- Try, except blocks
- Handling exceptions and errors gracefully
3. Object-Oriented Programming (OOP)
- Classes and objects
- Inheritance and polymorphism
- Encapsulation
Step 3: Libraries for Data Analysis
1. NumPy
- Understanding arrays and array operations
- Indexing, slicing, and iterating
- Mathematical functions and statistical operations
2. Pandas
- Series and DataFrames
- Reading and writing data (csv, excel, sql, json)
- Data cleaning and preparation
- Merging, joining, and concatenating data
- Grouping and aggregating data
3. Matplotlib and Seaborn
- Data visualization with Matplotlib
- Plotting different types of graphs (line, bar, scatter, histogram)
- Customizing plots
- Advanced visualizations with Seaborn
Step 4: Data Manipulation and Analysis
1. Data Wrangling
- Handling missing values
- Data transformation
- Feature engineering
2. Exploratory Data Analysis (EDA)
- Descriptive statistics
- Data visualization techniques
- Identifying patterns and outliers
3. Statistical Analysis
- Hypothesis testing
- Correlation and regression analysis
- Probability distributions
Step 5: Advanced Topics
1. Time Series Analysis
- Working with datetime objects
- Time series decomposition
- Forecasting models
2. Machine Learning Basics
- Introduction to machine learning
- Supervised vs. unsupervised learning
- Using Scikit-Learn for machine learning
- Building and evaluating models
3. Big Data and Cloud Computing
- Introduction to big data frameworks (e.g., Hadoop, Spark)
- Using cloud services for data analysis (e.g., AWS, Google Cloud)
Step 6: Practical Projects
1. Hands-on Projects
- Analyzing datasets from Kaggle
- Building interactive dashboards with Plotly or Dash
- Developing end-to-end data analysis projects
2. Collaborative Projects
- Participating in data science competitions
- Contributing to open-source projects
👨💻 FREE Resources to Learn & Practice Python
1. https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course
2. https://www.hackerrank.com/domains/python
3. https://www.hackerearth.com/practice/python/getting-started/numbers/practice-problems/
4. https://t.me/PythonInterviews
5. https://www.w3schools.com/python/python_exercises.asp
6. https://t.me/pythonfreebootcamp/134
7. https://t.me/pythonanalyst
8. https://pythonbasics.org/exercises/
9. https://t.me/pythondevelopersindia/300
10. https://www.geeksforgeeks.org/python-programming-language/learn-python-tutorial
11. https://t.me/pythonspecialist/33
*React ♥️ for more* | 482 |
| 12 |  𝗪𝗮𝗹𝗺𝗮𝗿𝘁 𝗙𝗥𝗘𝗘 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 | 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄!🚀
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📢 Share with your friends and classmates. | 511 |
| 13 |  𝗙𝗥𝗘𝗘 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 | 𝟰 𝗕𝗲𝘀𝘁 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹𝘀 🚀
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🚀Start Learning Today. Build AI Skills. Get Career Ready! | 539 |
| 14 | Don't pay for AI courses!
Learn from the industry's best for FREE ✨:
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𝟮 - 𝗚𝗼𝗼𝗴𝗹𝗲:
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𝟱 - 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁:
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𝟲 - 𝗢𝗽𝗲𝗻𝗔𝗜:
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𝟳 - 𝗜𝗕𝗠:
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𝟵 - 𝗗𝗲𝗲𝗽𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴𝗔𝗜:
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*Double Tap ❤️ For More* | 561 |
| 15 |  💻 𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘 | 𝟱 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗦𝗤𝗟 🚀
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🚀 Start Learning SQL Today and Build a Strong Foundation for Your Tech Career! | 543 |
| 16 |  🚀 𝗡𝗩𝗜𝗗𝗜𝗔 𝗙𝗥𝗘𝗘 𝗔𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗔𝗜 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗟𝗲𝗮𝗱𝗲𝗿𝘀
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🚀 Start Learning Today. Earn Your Certificate. Build Your Future in AI! | 630 |
| 17 | FREE Resources to Learn Data Science 🔥
* Python – python.org/doc
* NumPy – numpy.org/doc
* Pandas – pandas.pydata.org/docs
* Matplotlib – matplotlib.org
* Seaborn – seaborn.pydata.org
* SQL – sqlzoo.net (or sqlbolt.com)
* Statistics – khanacademy.org/math/statistics-probability
* Machine Learning – scikit-learn.org/stable
* Deep Learning – pytorch.org/tutorials
* Google Data Analytics – coursera.org/learn/google-data-analytics (audit free)
* Kaggle Learn – kaggle.com/learn
* Portfolio Projects – kaggle.com/datasets
Double Tap ♥️ For More | 618 |
| 18 |  𝗧𝗖𝗦 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗢𝗻 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 - 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘😍
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🚀 Start Learning Today. Upskill for Free. Get Career Ready! | 654 |
| 19 |  📊 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | 𝗡𝗼 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗡𝗲𝗲𝗱𝗲𝗱! 🚀
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🚀 Start Learning Today. Build Your Portfolio. Land Your Dream Data Job! | 612 |
| 20 |  📊 𝗙𝗥𝗘𝗘 𝗧𝗮𝘁𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 | 𝗪𝗶𝘁𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲 🚀
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🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
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🚀 Upskill Today. Build Your Portfolio. Get Career Ready! | 670 |
