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Python for Data Analysts

Python for Data Analysts

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Find top Python resources from global universities, cool projects, and learning materials for data analytics. For promotions: @coderfun Useful links: heylink.me/DataAnalytics

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📈 Telegram kanali Python for Data Analysts analitikasi

Python for Data Analysts (@pythonanalyst) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 51 492 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 607-o'rinni va Hindiston mintaqasida 7 356-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 51 492 obunachiga ega bo‘ldi.

08 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 204 ga, so‘nggi 24 soatda esa -16 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 5.19% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 670 marta ko‘riladi; birinchi sutkada odatda 0 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 9 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent visualization, panda, analyst, sql, analytic kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Find top Python resources from global universities, cool projects, and learning materials for data analytics. For promotions: @coderfun Useful links: heylink.me/DataAnalytics

Yuqori yangilanish chastotasi (oxirgi ma’lumot 09 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

51 492
Obunachilar
-1624 soatlar
+447 kunlar
+20430 kunlar
Postlar arxiv
18 - Working with Text Files in Python

17 - Hands-On Coding Challenges - Functions

16 - Functions in Python

15 - Hands-On Challenges Sets and Dictionaries

14 - Dictionaries in Python

13 - Sets and Frozensets in Python

12 - Tuples in Python

11 - Hands-On Challenges Lists

10 - Lists in Python

09 - Hands-On Challenges Flow Control and Loops

08 - Python Loops

07 - Program Flow Control in Python

06 - Hands-On Challenges Python Strings

05 - Strings in Python

04 - Hands-On Challenges Python Basics

03 - Python Basics

02 - Setup the Programming Environment

01 - Course Introduction

🔰 Python Programming: The Complete Python Bootcamp 2023 https://t.me/pythonanalyst/59 🌟 4.4 - 1838 votes 💰 Original Price:
🔰 Python Programming: The Complete Python Bootcamp 2023 https://t.me/pythonanalyst/59 🌟 4.4 - 1838 votes 💰 Original Price: $74.99 Python from Scratch. Learn Data Science and Visualization, Automation, Excel, SQL and Scraping with Python.100% Hands-On Taught By: Andrei Dumitrescu, Crystal Mind Academy Download Full Course: https://t.me/pythonanalyst/59 Download All Courses: https://t.me/pythonfreebootcamp

📈 Predictive Modeling for Future Stock Prices in Python: A Step-by-Step Guide The process of building a stock price predicti
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📈 Predictive Modeling for Future Stock Prices in Python: A Step-by-Step Guide The process of building a stock price prediction model using Python. 1. Import required modules 2. Obtaining historical data on stock prices 3. Selection of features. 4. Definition of features and target variable 5. Preparing data for training 6. Separation of data into training and test sets 7. Building and training the model 8. Making forecasts 9. Trading Strategy Testing