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 217 315 obunachidan iborat bo'lib, Taʼlim toifasida 387-o'rinni va Hindiston mintaqasida 708-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 217 315 obunachiga ega bo‘ldi.
09 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 145 ga, so‘nggi 24 soatda esa 137 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 6.99% 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 15 183 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 10 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.
217 315
Obunachilar
+13724 soatlar
+3167 kunlar
+14530 kunlar
Postlar arxiv
217 319
📁 Full description
Data scientists often favor pandas, because it lets them work efficiently with larger amounts of data—a useful quality as data sets become bigger and bigger. In this course, instructor Miki Tebeka shows you how to improve your pandas’ code’s speed and efficiency. First, Miki explains why performance matters and how you can measure it with Python profilers. Then, the course teaches you how to use vectorization to manipulate data. The course also walks through some common mistakes and how to address them.Python and pandas have many high-performance built-in functions, and Miki covers how to use them. Pandas can use a lot of memory, so Miki offers good tips on how to save memory. The course demonstrates how to serialize data with SQL and HDF5. Then Miki goes over how to speed up your code with Numba and Cython. Alternative DataFrames can also speed up your code, and Miki steps through some options. Plus, explore a few extra resources that you can check out.
Udemy Courses - ZTM Courses - Course
217 319
🔰 Faster pandas
🎟2020-11-18 • ⏱1h 24m • 💡Advanced
🗣 Miki Tebeka
Learn how to make your pandas code quicker and more efficient. This course covers vectorization, common mistakes, pandas performance, saving memory, Numba, Cython, and more.
📦 Topics: Data Manipulation, Pandas, Data Analysis
LinkedIn Learning
217 319
📁 Full description
When the concept of marketing integration comes up, many people automatically think about external customer marketing; however, external approaches—advertising, social media, and event marketing, for example—are just one piece of the puzzle. In this course, Dina Shapiro shares a comprehensive brand and marketing integration approach that encompasses all external and internal stakeholders and touchpoints. Along with going over external marketing, Dina covers three other important types of integration: vertical, horizontal, and internal. She also explores common roadblocks and shows how to incorporate integration strategies into your own company.
Udemy Courses - ZTM Courses - Course
217 319
🔰 Brand and Marketing Integration
🎟2017-03-01 • ⏱59m • 💡Intermediate
🗣 Dina Shapiro
Learn how to leverage the four types of brand and marketing integration—vertical, horizontal, external, and internal—to successfully reach all of your stakeholders.
📦 Topics: Brand Marketing, Brand Management
LinkedIn Learning
217 319
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217 319
🔰 The Complete Junior to Senior Web Developer Roadmap (2021)
⏱ 36.5 Hours 📦 420 Lessons
Ultimate coding interview bootcamp. Get more job offers, negotiate a raise, and learn everything you need to get the job you want!
Taught by: Andrei Neagoie
Download Full Course: https://t.me/joinchat/EWli8dC-A5RmMGE0
217 319
📁 Full description
While we often think of creativity as an inherent trait, anyone—whether they're an artist or an actuary—can learn how to be more creative. In this course, explore the different ways to learn creativity, and discover how to be more creative both on an individual basis and in a team setting. Instructor Drew Boyd shares the importance and power of creativity, goes over the barriers to creativity, and shows you some behaviors and techniques that can help you generate novel ideas or solutions to problems, as an individual. He covers ways to create a creativity dream team, facilitate effective group sessions for a better creative output, select the best ideas, and more.
Udemy Courses - ZTM Courses - Course
217 319
🔰 Thinking Creatively
🎟2017-04-12 • ⏱41m • 💡Beginner
🗣 Drew Boyd
Learn behaviors and techniques that can help you be more creative as an individual and as part of a team.
📦 Topics: Creativity Skills
LinkedIn Learning
217 319
📁 Full description
Do you need to learn Python for your current job, for the job you want, or just for fun? In this course, instructor Ronnie Sheer shows you how you can leverage your existing knowledge of JavaScript to get started programming in Python. Ronnie compares Python and JavaScript, then covers how to set up and run a Python environment. He discusses how to write code that adheres to Python conventions, which can prevent bugs. Ronnie explains some of the basic logic in Python, including the use of indentation, how to write and debug control flow, how to use Python try/except appropriately, and more. He goes over objects and class definitions, then explores Python’s data model feature and mixins class. Ronnie goes into iteration in Python and shows how you can write more concise and elegant code in Python by using zip, enumerate, and list comprehensions. He concludes with a challenge that shows you how to apply your knowledge of JavaScript and Python to improve a small program.
Udemy Courses - ZTM Courses - Course
