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Linkedin Learning
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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 217 151 obunachidan iborat bo'lib, Taʼlim toifasida 389-o'rinni va Hindiston mintaqasida 716-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 217 151 obunachiga ega bo‘ldi.
24 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 147 ga, so‘nggi 24 soatda esa -17 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 6.95% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.52% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 15 095 marta ko‘riladi; birinchi sutkada odatda 3 293 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 25 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.
217 151
Obunachilar
-1724 soatlar
+717 kunlar
+14730 kunlar
Postlar arxiv
217 155
🔸 Full description 🔸
Are you ready to take your Python skills to the next level, but not sure how to proceed? Join instructor Nick Walter in this intermediate-level course, part two of his previous course Python for Non-Programmers, designed specifically for learners with little to no coding experience.Push your skill set with more advanced concepts and coding challenges by completing the three practice projects, including a weather forecaster, web scraper, and to-do list. Learn more about classes in object-oriented programming as well as functional programming tools and how to create, edit, and delete files. Get tips for running Python like a pro, coding it from anywhere, on any type of operating system. By the end of this course, youll have upgraded your toolkit as a developer and will feel more comfortable with Python coding.
217 155
🔅 Intermediate Python for Non-Programmers
🔊 Author: Nick Walter
🔸 Date: 2022-12-09
⏰ Duration: 4h 32m
🌀
Explore intermediate-level strategies and techniques for writing code in Python as a non-programmer.
📗 Topics: Programming, Python
🔷 Join @linkedin_learning for more courses217 155
🔸 Full description 🔸
Did you know it takes just 20 hours of practice to learn anything? Whether its a new language, instrument, craft, or something else, 20 hours is all you need to start building new skills. Join Julia Furlan and Josh Kaufman, bestselling author of The Personal MBA and The First 20 Hours, for a crash course in learning lightning speed from Knowable. Learn Joshs framework for deconstructing your learning goals, researching their sub-skills, creating the right conditions for “deliberate practice,” getting over the hump of the challenging first few hours, and executing your learning plan with speed, precision, and discipline. By the end, youll be prepared to learn anything — 20 minutes a day over two months is all it takes.
Note: This course was created by Knowable. We are pleased to host this training in our library.
217 155
🔅 How to Learn Faster
🔊 Author: Knowable
🔸 Date: 2022-11-14
⏰ Duration: 13m
🌀
Discover a proven method for learning almost anything in just 20 hours.
📗 Topics: Training and Development, Self Learning
🔷 Join @linkedin_learning for more courses217 155
🔸 Full description 🔸
View Martin's LinkedIn NewsletterLearn a three-step recipe for optimizing your social media marketing mix. Get a fresh perspective on your content, your choice of platform, and your strategy. Join digital communication strategist Martin Waxman for this illuminating short course that will get even the most experienced marketers out of a social media rut. Learn how to analyze what's working—and what's not—with SWOT analysis, and adapt your plan to capitalize on your strengths. Then Martin takes you through the types of social media content you can create on the various platforms and how they can help you achieve your brand's goals. Plus, learn how to turn strategy into action and create paid and organic posts and stories that engage your customers.
217 155
🔅 Social Media Marketing: Strategy and Optimization
🔊 Author: Martin Waxman
🔸 Date: 2022-09-26
⏰ Duration: 54m
🌀
Learn how to optimize your social media marketing mix and refresh your strategy for Facebook, Instagram, LinkedIn, TikTok, and other popular platforms.
📗 Topics: Marketing Strategy, Social Media Marketing
🔷 Join @linkedin_learning for more courses217 155
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217 155
🔸 Full description 🔸
Welcome to our Nano Tips series, where LinkedIn Learning creators deliver impactful lessons in literally seconds.
Here, join Miss Excel (aka Kat Norton)—a Microsoft MVP with over one million social media followers—as she shares tips and answers to common questions about Microsoft Excel. Topics include removing and rearranging data using the PivotTable, creating custom number formats, scanning data from paper documents into Excel, and more. Each high-energy video offers up quick fixes for things you need to know right now about Excel and also prepares you for more in-depth learning.
217 155
🔅 Nano Tips for Using Excel with Kat Norton
🔊 Author: Kat Norton
🔸 Date: 2022-10-03
⏰ Duration: 6m
🌀
Get quick tips and answers to common questions about Microsoft Excel. Each video is less than a minute long, so you can make learning fit into even your busiest days.
📗 Topics: Microsoft Excel
🔷 Join @linkedin_learning for more courses