اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
Linkedin Learning
رفتن به کانال در Telegram
Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
نمایش بیشتر📈 تحلیل کانال تلگرام Linkedin Learning
کانال Linkedin Learning (@linkedin_learning) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 217 133 مشترک است و جایگاه 389 را در دسته آموزش و رتبه 719 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 217 133 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 25 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 56 و در ۲۴ ساعت گذشته برابر -58 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 7.21% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.53% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 15 667 بازدید دریافت میکند. در اولین روز معمولاً 3 330 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 14 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند author, linkedin, linux, javascript, 040k| تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Linkedin Learning
Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 26 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کردهاند.
217 133
مشترکین
-5824 ساعت
-27 روز
+5630 روز
آرشیو پست ها
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
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