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Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources

Kanalga Telegram’da o‘tish

Covering all technical and popular stuff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. Ads/ Promo: @love_data

Ko'proq ko'rsatish

📈 Telegram kanali Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources analitikasi

Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources (@sqlproject) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 39 505 obunachidan iborat bo'lib, Taʼlim toifasida 4 747-o'rinni va Hindiston mintaqasida 10 383-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 39 505 obunachiga ega bo‘ldi.

11 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 205 ga, so‘nggi 24 soatda esa 11 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 2.87% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.98% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 133 marta ko‘riladi; birinchi sutkada odatda 388 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent analytic, dataset, visualization, sql, learning kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Covering all technical and popular stuff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. Ads/ Promo: @love_data

Yuqori yangilanish chastotasi (oxirgi ma’lumot 12 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.

39 505
Obunachilar
+1124 soatlar
+367 kunlar
+20530 kunlar
Postlar arxiv
Cracking the SQL Interview: Your Key to Database Success 📊💼

ADVANCED SQL - Unlock Expert Level 💥Level up your SQL game with this Advanced SQL guide. 📊 💥Cover SQL in just 10 days with structured content & practice questions.

Hi All, Here is a Python Notebook for last minute revision of Exploratory data analysis (EDA) in Python. The notebook consists of all basic function and operations used in Exploratory data analysis such as : 1- Deleting rows and columns from a dataframe 2- Dealing with duplicate values 3- Removing outliers from dataframe 4- Outliers detection using IQR (Inter Quartile Range) 5- Outliers detection using Z score 6- Value Counts 7- Univariate Analysis 8- Subplots, Countplots, Scatterplots, Lineplots, Boxplots, Joint Distribution, Barplots, Pairplots, Parallel co-ordinates, HeatMaps 9- “How to choose the right chart"

Python for Data Analysts - Quick Summary (1).pdf0.64 KB

+1
Machine Learning with LightGBM and Python (2023).pdf3.87 MB