Уже доступно! Исследование Telegram 2025 — ключевые инсайты года 
Linkedin Learning
Открыть в Telegram
Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
Больше📈 Аналитический обзор Telegram-канала Linkedin Learning
Канал Linkedin Learning (@linkedin_learning) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 217 151 подписчиков, занимая 389 место в категории Образование и 716 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 217 151 подписчиков.
Согласно последним данным от 24 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 147, а за последние 24 часа — -17, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 6.95%. В первые 24 часа после публикации контент обычно набирает 1.52% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 15 095 просмотров. В течение первых суток публикация набирает 3 293 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 14.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как author, linkedin, linux, javascript, 040k|.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“Linkedin Learning
Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning”
Благодаря высокой частоте обновлений (последние данные получены 25 июня, 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.
217 151
Подписчики
-1724 часа
+717 дней
+14730 день
Архив постов
217 155
🔸 Full description 🔸
Sales forecasting is crucial for almost any business, because it affects sales deployment, financial planning, budgeting, operations planning, and marketing planning. Since sales forecasts have far-reaching impact, it's critical that the forecast information is as accurate as possible. In this course, sales and marketing professor Drew Boyd shares a step-by-step process for creating and managing effective sales forecasts. He takes you through how to define your market category, create the right processes, select the right forecasting technique, and collect data. In addition, he reveals how to use both qualitative and quantitative forecasting methods.
217 155
🔅 Sales Forecasting
🔊 Author: Drew Boyd
🔸 Date: 2022-02-16
⏰ Duration: 49m
🌀
Discover how to create and manage effective sales forecasts. Learn why forecasting is critical, and how to use qualitative and quantitative methods to project sales.
📗 Topics: Sales Forecasting
🔷 Join @linkedin_learning for more courses217 155
🔸 Full description 🔸
Want to test your Python skills? These concise challenges let you stretch your brain and test your talents. Instructor Barron Stone shares over a dozen Python challenges, as well as his own solutions to each problem—the majority of which are less than two dozen lines of code. The challenges include finding prime factors, sorting strings, scheduling a function, solving a sudoku, and more. You can tackle each problem using the tools in the Python standard library, or opt for the library of your choice. And since each challenge is self-contained, you can complete the course in any order—and at your own pace. Tune in to get the hands-on practice you need to level up your skills.This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that youll likely encounter in the workplace. Each installment of the Level Up series offers at least 15 bite-sized opportunities to practice programming at various levels of difficulty, so you can challenge yourself and reinforce what youve learned. Check out the “Using GitHub Codespaces with this course” video to learn how to get a codespace up and running.
217 155
🔅 Level Up: Python
🔊 Author: Barron Stone
🔸 Date: 2022-11-09
⏰ Duration: 57m
🌀
Want to test your Python skills? These concise, self-contained challenges let you stretch your brain and test your talents.
📗 Topics: Python
🔷 Join @linkedin_learning for more courses217 155
🔸 Full description 🔸
Modern work in data science requires skilled professionals versed in analysis workflows and using powerful tools. Python can play an integral role in nearly every aspect of working with data—from ingest, to querying, to extracting and visualizing. In this course, instructor Ben Sullins highlights tips and tricks you can use right away to improve your skills in Python. Learn how to work with JSON data, CSV files, and Parquet files. Explore ways to read, inspect, and aggregate data using pandas. Plus, find out how to visualize data using basic charts, small multiples, and color in Plotly, as well as how to put the finishing touches on your data visualizations.
217 155
🔅 Python for Data Science Tips, Tricks, and Techniques
🔊 Author: Ben Sullins
🔸 Date: 2022-12-02
⏰ Duration: 1h 1m
🌀
Explore a series of tips and tricks that you can put into practice to improve your skills in Python.
📗 Topics: Data Science, Python
🔷 Join @linkedin_learning for more courses217 155
🔸 Full description 🔸
View Helen's LinkedIn NewsletterData visualization allows you to represent information digitally and graphically, to convey the results of data analysis. Microsoft Power BI is a suite of business analytics tools that help you gain insights from your data. The suite brings together familiar operations from well-known products—including Excel, Access, Power Query, and Power Pivot—to help you quickly move past the basics and on to comprehensive analysis. In this course, Helen Wall guides you through the advanced capabilities of the service. She shows how to work with calculations, effectively leverage the DAX language, create advanced queries, and use the M language to improve the querying process. Helen also demonstrates how to get data into Power BI using the Power Query editor and then model the loaded data using DAX columns, tables, and measures. To lend these concepts a real-world context, she shares how to create a financial model for loans.
217 155
🔅 Advanced Microsoft Power BI
🔊 Author: Helen Wall
🔸 Date: 2022-10-27
⏰ Duration: 3h 3m
🌀
Learn advanced uses of Microsoft Power BI. Learn how to perform calculations, effectively leverage the DAX language in data modeling, make advanced queries, and more.
📗 Topics: Microsoft Power BI
🔷 Join @linkedin_learning for more courses217 155
▶️ Do you have a creative mind and would you like to work in the creative professions?
▶️ Study Design, Fashion, Visual Arts and Communication at IED!
▶️ Participate at the next Open Days event from July 10 to 14, 2023 to choose a three-year course, and turn your dream into reality.
