Free Online Courses
Admin: @hussein_sheikho
Ko'proq ko'rsatish📈 Telegram kanali Free Online Courses analitikasi
Free Online Courses (@courses27) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 23 929 obunachidan iborat bo'lib, Taʼlim toifasida 8 176-o'rinni va Hindiston mintaqasida 16 937-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 23 929 obunachiga ega bo‘ldi.
15 Sentabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 62 ga, so‘nggi 24 soatda esa 1 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 2.26% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.34% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 542 marta ko‘riladi; birinchi sutkada odatda 82 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent api, completion, javascript, udemy, css kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Admin: @hussein_sheikho”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 16 Sentabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
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📝 Course Details:
Master the Azure Data Ecosystem
This comprehensive program is designed for learners at any level looking to master the modern data lifecycle. It bridges the gap between foundational data concepts and advanced cloud implementation, making it ideal for aspiring data engineers or professionals transitioning into cloud computing.
Key Learning Pillars:
• Core Technologies: Deep dives into Apache Spark (Core, SQL, and Streaming) and Databricks with PySpark.
• Programming & Querying: Mastery of Python (including NumPy, Pandas, and visualization) alongside SQL from basics to advanced window functions.
• Azure Infrastructure: Hands-on experience with Azure Data Factory, cloud storage, and security.
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📢 Channel: https://t.me/Courses276AD8E9A162FE01F5D801
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📝 Course Details:
Master the Generative AI Lifecycle
This comprehensive curriculum bridges the gap between foundational programming and advanced AI deployment. It is an ideal choice for developers at any level—from those just starting with Python to seasoned engineers looking to master Large Language Models (LLMs).
Key Learning Pillars
• Core Fundamentals: Master Python, Pandas, and NumPy, alongside NLP essentials using NLTK and SpaCy.
• Advanced Architectures: Deep dive into Transformers, Deep Learning, and neural networks via TensorFlow and PyTorch.
• LLM Specialization: Learn fine-tuning techniques like LoRA and QLoRA, prompt engineering, and RAG architecture.
• Data Management: Implement vector databases like FAISS for high-dimensional data retrieval.
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📝 Course Details:
A Comprehensive Roadmap to Modern AI
This bootcamp is a massive, end-to-end journey designed to take learners from the fundamentals of Python to the cutting edge of Generative AI. It is ideal for anyone looking to build a professional portfolio from scratch, covering everything from basic statistics and SQL to advanced Deep Learning and Natural Language Processing.
Key Learning Pillars
• Foundational Data Skills: Master Python, SQL, and Exploratory Data Analysis (EDA) to handle complex datasets.
• Advanced Modeling: Move from traditional Machine Learning and Time Series Analysis into Deep Learning and Transformers.
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📢 Channel: https://t.me/Courses27FF7C248148EB49CCF6F2
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📝 Course Details:
A Comprehensive Roadmap for Modern Analysts
This masterclass is a deep dive into the full data lifecycle, making it an ideal choice for anyone looking to transition into the field or upgrade their technical toolkit. It moves beyond basic spreadsheets, bridging the gap between traditional analysis and modern AI-driven workflows.
Key Learning Pillars
• Core Technical Stack: Master Python (Pandas, NumPy, Matplotlib), SQL for database management, and advanced Excel.
• Visualization & BI: Create interactive dashboards using Power BI and Tableau, including new insights into Microsoft Fabric and lakehouse architecture.
• Advanced Analytics: Move from Exploratory Data Analysis (EDA) and statistics into predictive modeling and machine learning.
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