Linkedin Learning
Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
Ko'proq ko'rsatish📈 Telegram kanali Linkedin Learning analitikasi
Linkedin Learning (@linkedin_learning) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 217 136 obunachidan iborat bo'lib, Taʼlim toifasida 388-o'rinni va Hindiston mintaqasida 724-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 217 136 obunachiga ega bo‘ldi.
19 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 264 ga, so‘nggi 24 soatda esa -21 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 6.63% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.81% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 14 394 marta ko‘riladi; birinchi sutkada odatda 3 937 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 14 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent author, linkedin, linux, javascript, 040k| kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Linkedin Learning
Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 20 Iyun, 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.
🌀 Learn how to use the object-oriented features of Python, including magic methods and data classes, to write more efficient and effective code.📗 Topics: Python, Object-Oriented Programming 📤 Download Full Course
🌀 Learn how to apply React to create user interfaces that display dynamic data.📗 Topics: React.js, Web Interface Design 📤 Download Full Course
🌀 Find out how to use prebuilt Python libraries for predictive analytics and discover insights about the future.📗 Topics: Predictive Analytics, Python 📤 Download Full Course
🌀 Learn common financial terms for banking, doing your taxes, investing and retiring, and running a small business.📗 Topics: Financial Literacy 📤 Download Full Course
🌀 Learn about DataFrames, a widely used data structure in Apache Spark. Discover how to manipulate and analyze distributed data with the DataFrames API and SQL.📗 Topics: Apache Spark, SQL 📤 Download Full Course
🌀 Learn about the modeling techniques and experimental designs that allow you to establish causal inference, and how to use them.📗 Topics: Causal Inference, Machine Learning, Artificial Intelligence 📤 Download Full Course
Learn essential tips to communicate and present, effectively and with confidence.
📗 Topics: Professional Communication, Interpersonal Communication
📤 Join Linkedin Learning for more courses🌀 Save time, and make your code more readable and reusable, by learning the most powerful Python functions for data science.📗 Topics: Data Analysis, Python 📤 Download Full Course
🌀 Learn how to apply React to create user interfaces that display dynamic data.📗 Topics: React.js, Web Interface Design 📤 Download Full Course
🌀 Learn how to streamline software development workflows using AI pair programming with GitHub Copilot X.📗 Topics: Pair Programming, GitHub Copilot, Artificial Intelligence 📤 Download Full Course
🌀 Learn the basics of prompting and connecting prompts together to build a small application with GPT-4.📗 Topics: AI Software Development, GPT-4, Generative AI 📤 Download Full Course
🌀 Discover how Vue.js can help you build powerful and performant user interfaces while simplifying your JavaScript code. Find out why front-end developers love this framework.📗 Topics: Vue.js 📤 Download Full Course
🌀 Learn best practices for how to produce explainable AI and interpretable machine learning solutions.📗 Topics: Machine Learning, Artificial Intelligence 📤 Download Full Course
🌀 Learn how you can use Python to automate operating system tasks, aggregate data across multiple sources, save results to files, and level up your Python applications.📗 Topics: File Handling, Python 📤 Download Full Course
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