Linkedin Learning
Kanalga Telegram’da o‘tish
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 217 335 obunachidan iborat bo'lib, Taʼlim toifasida 387-o'rinni va Hindiston mintaqasida 707-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 217 335 obunachiga ega bo‘ldi.
10 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 243 ga, so‘nggi 24 soatda esa 106 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 6.78% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.86% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 14 743 marta ko‘riladi; birinchi sutkada odatda 4 040 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 16 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 11 Iyul, 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.
217 335
Obunachilar
+10624 soatlar
+3557 kunlar
+24330 kunlar
Postlar arxiv
217 340
📁 Full description
No matter where you go these days, it seems like everyone is talking about cryptos. The future of finance—who can predict it? Will money ever be the same? In this course, instructor Kedric Van de Carr shows you how the world of finance has been changed dramatically by cryptos, blockchain, non-fungible tokens (NFTs), and internet banking—all of which mark the rise of decentralized finance, or DeFi, for short.Explore the foundations and key concepts of DeFi in daily economic practice, how it works, how it is utilized, and where it may be headed in the future. From stablecoins and DEXs to automated market makers and decentralized lending platforms, Kedric walks you through the essential tools and potential yields of what it means to have a public-run financial system without stakeholders controlling the terms.
217 340
🔰 Foundations of Decentralized Finance (DeFi)
🎟2022-05-31 • ⏱59m • 💡General
🗣 Kedric Van de Carr
Explore the key concepts, historical significance, and potential outcomes of decentralized finance (DeFi).
📦 Topics: Finance, Decentralization
LinkedIn Learning
217 340
🔰 .NET 6 Deep Dive
🎟2022-02-07 • ⏱2h 43m • 💡Advanced
🗣 Walt Ritscher
This course takes a deep look into the changes to .NET with the release of .NET 6, the latest release of the Microsoft cross-platform, open-source framework. Instructor Walt Ritscher takes you through changes to .NET commands, language improvements to C++ and C#, web applications like Blazor and Visual Studio, and targeting multiple platforms. He also shows you how to edit code and use the Hot Reload feature to apply changes without restarting the application.
📦 Topics: .NET Framework
LinkedIn Learning
217 340
📁 Full description
Stories move people in a way that charts and data points cannot. Instructor Lachezar Arabadzhiev has focused much of his career on helping companies connect with audiences using the power of visual storytelling. In this course, Lachezar breaks down his approach, explaining how to use Canva, a popular graphic design platform, to visualize and convey compelling narratives.Learn how to analyze your target audience, exploring what they want and how to reach them where they are. Discover how to apply storyboarding and storytelling principles to build out a visually expressive narrative. Plus, Lachezar steps through three real-world examples of data-driven storytelling across a variety of industries and projects.
217 340
🔰 Storytelling for Data and Design
🎟2022-08-17 • ⏱58m • 💡Beginner + Intermediate
🗣 Lachezar Arabadzhiev
Want to become a better storyteller? Tune into this course to learn how to visualize and convey more compelling stories, regardless of your industry, using the tools within Canva.
📦 Topics: Canva, Visual Storytelling
LinkedIn Learning
217 340
📁 Full description
The quality of the predictions coming out of your machine learning model is a direct reflection of the data you feed it during training. Feature engineering helps you extract every last bit of value out of data. This course provides the tools to take a data set, tease out the signal, and throw out the noise in order to optimize your models. The concepts generalize to nearly any kind of machine learning algorithm. Instructor Derek Jedamski provides a refresher on machine learning basics and a thorough introduction to feature engineering. He explores continuous and categorical features and shows how to clean, normalize, and alter them. Learn how to address missing values, remove outliers, transform data, create indicators, and convert features. In the final chapters, Derek explains how to prepare features for modeling and provides four variations for comparison, so you can evaluate the impact of cleaning, transforming, and creating features through the lens of model performance.
217 340
🔰 Applied Machine Learning: Feature Engineering
🎟2020-08-10 • ⏱2h 26m • 💡Intermediate
🗣 Derek Jedamski
Extract the maximum value from your data using feature engineering. Learn how to clean, normalize, and create features to improve the performance of your machine learning models.
📦 Topics: Machine Learning
LinkedIn Learning
217 340
📁 Full description
What would you do if you had an extra 10 hours per week? Sounds impossible? In this course, productivity expert Dave Crenshaw shows you how to get more done in the shortest time possible and give you more of that precious free time. The course lays out the theoretical and practical foundations for being more productive and explains the obstacles that can get in the way. It then gives practical strategies for increasing productivity in three main areas: How to develop habits to be more organized and reduce the clutter in your workspace; how to stay mentally on task and eliminate the to-dos you have floating in your head; and how to develop a time budget to get the most done during your workday and focus on your most valuable activities. If youve been looking for strategies to help you manage your time more efficiently, this course may be well worth your time.
217 340
🔰 Time Management Fundamentals
🎟2022-02-08 • ⏱1h 47m • 💡General
🗣 Dave Crenshaw
Get time management strategies to stay organized, keep a clear mind, and be more productive—in work and life.
📦 Topics: Time Management
LinkedIn Learning
