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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 47 343 подписчиков, занимая 3 747 место в категории Образование и 7 900 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 47 343 подписчиков.
Согласно последним данным от 30 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -343, а за последние 24 часа — 4, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 1.31%. В первые 24 часа после публикации контент обычно набирает 0.65% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 622 просмотров. В течение первых суток публикация набирает 308 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 01 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.
47 343
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+424 часа
-1207 дней
-34330 день
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Посты канала
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| 2 | Complete roadmap to learn Python for data analysis
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- 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
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- Reading and writing data (csv, excel, sql, json)
- Data cleaning and preparation
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3. Matplotlib and Seaborn
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- Descriptive statistics
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- Hypothesis testing
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- Probability distributions
Step 5: Advanced Topics
1. Time Series Analysis
- Working with datetime objects
- Time series decomposition
- Forecasting models
2. Machine Learning Basics
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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
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- Contributing to open-source projects
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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* | 222 |
| 3 |  𝗪𝗮𝗹𝗺𝗮𝗿𝘁 𝗙𝗥𝗘𝗘 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 | 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄!🚀
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📢 Share with your friends and classmates. | 320 |
| 4 |  𝗙𝗥𝗘𝗘 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 | 𝟰 𝗕𝗲𝘀𝘁 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹𝘀 🚀
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🚀Start Learning Today. Build AI Skills. Get Career Ready! | 372 |
| 5 | Don't pay for AI courses!
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*Double Tap ❤️ For More* | 410 |
| 6 |  💻 𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘 | 𝟱 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗦𝗤𝗟 🚀
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| 8 | 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 | 470 |
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| 10 |  📊 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 | 𝗡𝗼 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗡𝗲𝗲𝗱𝗲𝗱! 🚀
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| 12 | 10 Python Libraries for Building LLM Applications
🔹 1. Transformers
Core library for loading, fine-tuning, and running LLMs with ease.
👉 Learn more: https://huggingface.co/docs/transformers
🔹 2. LangChain
Connect prompts, tools, APIs, and models into powerful workflows.
👉 Learn more: https://docs.langchain.com
🔹 3. LlamaIndex
Bring your own data into LLMs for smarter, grounded responses (RAG).
👉 Learn more: https://docs.llamaindex.ai
🔹 4. vLLM
High-performance LLM serving with faster inference and better scaling.
👉 Learn more: https://docs.vllm.ai
🔹 5. Unsloth
Efficient fine-tuning with LoRA & QLoRA — even on limited hardware.
👉 Learn more: https://github.com/unslothai/unsloth
🔹 6. CrewAI
Build multi-agent systems where AI agents collaborate on tasks.
👉 Learn more: https://docs.crewai.com
🔹 7. AutoGPT
Create goal-driven autonomous agents with step-by-step execution.
👉 Learn more: https://github.com/Significant-Gravitas/AutoGPT
🔹 8. LangGraph
Design advanced, stateful workflows with branching logic.
👉 Learn more: https://docs.langchain.com/langgraph
🔹 9. DeepEval
Test and evaluate LLM outputs for accuracy and reliability.
👉 Learn more: https://github.com/confident-ai/deepeval
🔹 10. OpenAI Python SDK
Quickly integrate powerful AI features without managing infrastructure.
👉 Learn more: https://platform.openai.com/docs
❤️ Follow for more | 582 |
| 13 |  📊 𝗣𝘄𝗖 𝗶𝘀 𝗼𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗮 𝗙𝗥𝗘𝗘 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺
This helps tolearn data visualization, dashboard creation, KPI analysis, and business intelligence skills that companies actively look for.
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Share with yours friends who wants to start a career in Data Analytics | 527 |
| 14 |  𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝟭𝟬𝟬+ 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗼𝗿 𝗔𝘇𝘂𝗿𝗲, 𝗔𝗜, 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗠𝗼𝗿𝗲 🚀
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🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
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🚀 Learn. Practice. Upskill. Get Career Ready | 510 |
| 15 | If I wanted to get my opportunity to interview at Google or Amazon for SDE roles in the next 6-8 months…
Here’s exactly how I’d approach it (I’ve taught this to 100s of students and followed it myself to land interviews at 3+ FAANGs):
► Step 1: Learn to Code (from scratch, even if you’re from non-CS background)
I helped my sister go from zero coding knowledge (she studied Biology and Electrical Engineering) to landing a job at Microsoft.
We started with:
- A simple programming language (C++, Java, Python — pick one)
- FreeCodeCamp on YouTube for beginner-friendly lectures
- Key rule: Don’t just watch. Code along with the video line by line.
Time required: 30–40 days to get good with loops, conditions, syntax.
► Step 2: Start with DSA before jumping to development
Why?
- 90% of tech interviews in top companies focus on Data Structures & Algorithms
- You’ll need time to master it, so start early.
Start with:
- Arrays → Linked List → Stacks → Queues
- You can follow the DSA videos on my channel.
- Practice while learning is a must.
► Step 3: Follow a smart topic order
Once you’re done with basics, follow this path:
1. Searching & Sorting
2. Recursion & Backtracking
3. Greedy
4. Sliding Window & Two Pointers
5. Trees & Graphs
6. Dynamic Programming
7. Tries, Heaps, and Union Find
Make revision notes as you go — note down how you solved each question, what tricks worked, and how you optimized it.
► Step 4: Start giving contests (don’t wait till you’re “ready”)
Most students wait to “finish DSA” before attempting contests.
That’s a huge mistake.
Contests teach you:
- Time management under pressure
- Handling edge cases
- Thinking fast
Platforms: LeetCode Weekly/ Biweekly, Codeforces, AtCoder, etc.
And after every contest, do upsolving — solve the questions you couldn’t during the contest.
► Step 5: Revise smart
Create a “Revision Sheet” with 100 key problems you’ve solved and want to reattempt.
Every 2-3 weeks, pick problems randomly and solve again without seeing solutions.
This trains your recall + improves your clarity.
Coding Projects:👇
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
ENJOY LEARNING 👍👍 | 573 |
| 16 |  🎓 𝗚𝗼𝗼𝗴𝗹𝗲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝟮𝟬𝟮𝟲 🚀
Learn job-ready skills from Google and boost your resume?🌟
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🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/4vjLGVq
⏳ Start Learning Today & Upgrade Your Career! | 628 |
| 17 | YouTube & WhatsApp Channels for Free Learning 🚀
👉 Introduction to Prog & CS:
https://youtu.be/zOjov-2OZ0E?si=gEbFC3o18x5enhWe
👉 OS:
https://youtu.be/3obEP8eLsCw?si=SSTwuiMWSc4KtGhy
👉 PowerBi:
https://youtu.be/UXhGRVTndQA?si=r9rpqRgbwy3LSxEZ
https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c
👉SQL
https://youtu.be/VCZxODefTIs?si=U0rn-L8CUB6_WfVk
https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
👉 Data Analytics:
https://youtu.be/PSNXoAs2FtQ?si=yTzjpW2lP3qbVy22
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02
👉 Python:
https://youtu.be/LHBE6Q9XlzI?si=9R_HmHaD7uGFWOvk
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
👉 Web Development:
https://youtube.com/playlist?list=PLu0W_9lII9agq5TrH9XLIKQvv0iaF2X3w&si=sbUzknTFsSo2RHh4
https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
👉 Java:
https://youtube.com/playlist?list=PLsyeobzWxl7pe_IiTfNyr55kwJPWbgxB5&si=TUQALbuysZfeLknX
https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s
👉 DBMS:
https://youtu.be/dl00fOOYLOM?si=w7THW7f8qdmztsd6
👉 DSA:
https://youtube.com/playlist?list=PLgUwDviBIf0oF6QL8m22w1hIDC1vJ_BHz&si=2zY8MHinpZN6S-Ox
https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
👉 C++:
https://youtu.be/8jLOx1hD3_o?si=kD5OHquB7uN7J2eG
👉 Ethical Hacking:
https://youtu.be/cKEf8H9cQGM?si=xzL7ogRnnJCyhZlc
https://whatsapp.com/channel/0029VancSnGG8l5KQYOOyL1T
👉 Data Science:
https://youtu.be/gDZ6czwuQ18?si=Nmj950IQBRHPVocQ
https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
👉 Machine Learning:
https://youtu.be/LvC68w9JS4Y?si=rXnXfmZVg0a7Ijpz
Join for more: https://t.me/crackingthecodinginterview
ENJOY LEARNING 👍 👍 | 700 |
| 18 |  📊 𝗧𝗖𝗦 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀
Here's an amazing opportunity from TCS to learn essential data analytics skills completely FREE and earn a certificate
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:
https://pdlink.in/4waJYWJ
🔥 Data Analytics continues to be one of the most in-demand career paths, and this free course is a great first step toward building job-ready skills.
⏳ Don't miss this opportunity to upskill and boost your career! | 692 |
| 19 |  𝟳 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗘𝗻𝗿𝗼𝗹𝗹 𝗜𝗻 𝟮𝟬𝟮𝟲😍
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𝐋𝐢𝐧𝐤 👇:-
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Enroll For FREE & Get Certified 🎓 | 794 |
| 20 | Tools & Tech Every Developer Should Know ⚒️👨🏻💻
❯ VS Code ➟ Lightweight, Powerful Code Editor
❯ Postman ➟ API Testing, Debugging
❯ Docker ➟ App Containerization
❯ Kubernetes ➟ Scaling & Orchestrating Containers
❯ Git ➟ Version Control, Team Collaboration
❯ GitHub/GitLab ➟ Hosting Code Repos, CI/CD
❯ Figma ➟ UI/UX Design, Prototyping
❯ Jira ➟ Agile Project Management
❯ Slack/Discord ➟ Team Communication
❯ Notion ➟ Docs, Notes, Knowledge Base
❯ Trello ➟ Task Management
❯ Zsh + Oh My Zsh ➟ Advanced Terminal Experience
❯ Linux Terminal ➟ DevOps, Shell Scripting
❯ Homebrew (macOS) ➟ Package Manager
❯ Anaconda ➟ Python & Data Science Environments
❯ Pandas ➟ Data Manipulation in Python
❯ NumPy ➟ Numerical Computation
❯ Jupyter Notebooks ➟ Interactive Python Coding
❯ Chrome DevTools ➟ Web Debugging
❯ Firebase ➟ Backend as a Service
❯ Heroku ➟ Easy App Deployment
❯ Netlify ➟ Deploy Frontend Sites
❯ Vercel ➟ Full-Stack Deployment for Next.js
❯ Nginx ➟ Web Server, Load Balancer
❯ MongoDB ➟ NoSQL Database
❯ PostgreSQL ➟ Advanced Relational Database
❯ Redis ➟ Caching & Fast Storage
❯ Elasticsearch ➟ Search & Analytics Engine
❯ Sentry ➟ Error Monitoring
❯ Jenkins ➟ Automate CI/CD Pipelines
❯ AWS/GCP/Azure ➟ Cloud Services & Deployment
❯ Swagger ➟ API Documentation
❯ SASS/SCSS ➟ CSS Preprocessors
❯ Tailwind CSS ➟ Utility-First CSS Framework
React ❤️ if you found this helpful
Coding Jobs: https://whatsapp.com/channel/0029VatL9a22kNFtPtLApJ2L | 811 |
