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Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources

Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources

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Data Analysis Useful Resources #dataanalysis #dataanalysisbooks #sqlbooks #pythonbooks #tableau #powerbi #datavisualization For promotions: @coderfun

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📈 Telegram kanali Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources analitikasi

Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources (@learndataanalysis) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 51 874 obunachidan iborat bo'lib, Taʼlim toifasida 3 351-o'rinni va Hindiston mintaqasida 7 142-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 51 874 obunachiga ega bo‘ldi.

19 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 476 ga, so‘nggi 24 soatda esa 7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 4.68% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.17% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 430 marta ko‘riladi; birinchi sutkada odatda 609 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 4 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent analyst, |--, excel, visualization, analytic kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Data Analysis Useful Resources #dataanalysis #dataanalysisbooks #sqlbooks #pythonbooks #tableau #powerbi #datavisualization For promotions: @coderfun

Yuqori yangilanish chastotasi (oxirgi ma’lumot 20 Iyun, 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.

51 874
Obunachilar
+724 soatlar
+1047 kunlar
+47630 kunlar
Postlar arxiv
PREPARATION GUIDE FOR DATA ANALYST INTERVIEW 👉 Review the job description and requirements: Carefully review the job description and requirements for the data analyst position to understand the specific skills and knowledge required. 👉 Brush up on data analysis concepts and techniques: Make sure you have a solid understanding of data analysis concepts, such as data cleaning, data visualization, and statistical analysis. Review the basics of these techniques, and be familiar with the tools and software used for data analysis. 👉 Study data visualization tools: Familiarize yourself with data visualization tools like Tableau, PowerBI, and others, and be able to explain how to use them to analyze and present data. 👉 Brush up on SQL: SQL is a key tool for data analysts, so be sure to review basic SQL commands and be familiar with more advanced concepts such as joining tables and aggregating data. 👉 Practice your communication skills: Data analysts need to be able to effectively communicate their findings to others, so make sure you have strong written and verbal communication skills. 👉 Be prepared to discuss real-life examples: Be prepared to discuss specific examples of data analysis projects you have worked on, and be able to explain the methods and techniques you used to complete them. 👉 Review the company's data and analytics strategy: Research the company's data and analytics strategy, and be prepared to discuss how your skills and experience align with their goals and objectives. 👉 Free learning resources https://t.me/free4unow_backup/361 ENJOY LEARNING 👍👍

Introduction to Google Analytics Todd Kelsey, 2017

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Excel_Formulas_and_Functions_2021—The_Intermediate_Level_Step_by.pdf11.33 MB

7 outstanding new AI tools you should try in 2023: 1. http://Agentgpt.reworkd.ai — Autonomous AI Agent (AutoGPT) 2. http://Chatpdf.com — ChatGPT for PDFs 3. http://Tldv.io — AI Meeting summarizer 4. http://Kaiber.ai — Generate captivating visuals 5. http://Morise.ai — YouTube growth assistant 6. http://Meetcody.ai — AI assistant trained on your biz 7. http://Tldrthis.com — Summarize online content

An Introduction to R and  Python for Data Analysis Taylor R. Brown, 2023

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