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

Red:Data Analytics India7 164 Educación3 348...

📈 Análisis del canal de Telegram Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources

El canal Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources (@learndataanalysis) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 51 872 suscriptores, ocupando la posición 3 348 en la categoría Educación y el puesto 7 164 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 51 872 suscriptores.

Según los últimos datos del 18 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 499, y en las últimas 24 horas de 6, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.83%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.17% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 3 025 visualizaciones. En el primer día suele acumular 609 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 6.
Intereses temáticos: El contenido se centra en temas clave como analyst, |--, excel, visualization, analytic.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Data Analysis Useful Resources #dataanalysis #dataanalysisbooks #sqlbooks #pythonbooks #tableau #powerbi #datavisualization For promotions: @coderfun”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 19 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.

51 872

Suscriptores

+624 horas

+1097 días

+49930 días

3 025

Visitas de la publicación

~ 60924 horas

~ 84248 horas

5.83%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

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python-for-geeks-ebook.pdf6.91 MB

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Learning MySQL.pdf2.08 MB

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Football Analytics with Python R.pdf7.72 MB

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SQL cheatsheet -4.pdf28.78 MB

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Basics of Prompt Engineering - 2023.zip256.00 MB

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An Introduction to Analysis William R Wade 4th ed, 2010

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You will have to login and verify your email address to practice these free questions

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Repost from Coding Interview Resources

Data_Engineering_Interview_Question_and_Answers_1682785467_1.pdf9.55 KB

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Repost from Coding Interview Resources

Data_Engineering_Interview_Question_and_Answers_1682785467_1.pdf9.55 KB

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Repost from SQL Programming Resources

Recently, I came across this amazing website to practice SQL Interview Questions for free 👇👇 https://bit.ly/3P0kSqH Personally tried and impressed with the quality of the questions available in this website 👍

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SQL Queries Interview Question & Answers .pdf9.05 KB

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

Basic terms for beginners

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SQL Interview Book 👇👇 https://t.me/DataAnalystInterview/49

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Statistical Methods for Data Analysis.pdf32.80 MB

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Commonly used Python libraries are: 👉🏻NumPy: This library is used for scientific computing and working with arrays of data. It provides functions for working with arrays of data, including mathematical operations, linear algebra, and random number generation. 👉🏻Pandas: This library is used for data manipulation and analysis. It provides tools for importing, cleaning, and transforming data, as well as tools for working with time series data and performing statistical analysis. 👉🏻Matplotlib: This library is used for data visualization. It provides functions for creating a wide range of plots, including scatter plots, line plots, bar plots, and histograms. 👉🏻Scikit-learn: This library is used for machine learning. It provides a range of algorithms for classification, regression, clustering, and dimensionality reduction, as well as tools for model evaluation and selection. 👉🏻TensorFlow: This library is used for deep learning. It provides a range of tools and libraries for building and training neural networks, including support for distributed training and hardware acceleration.

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Repost from Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert

FREE RESOURCES TO LEARN DATA ANALYSIS 👇👇 Data Analysis with Python Free Certified Course https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course SQL for Data Analysis FREE COURSE https://bit.ly/3BlvSq7 Data Analysis with Power BI https://learn.microsoft.com/en-us/training/paths/perform-analytics-power-bi/?ns-enrollment-type=Collection&ns-enrollment-id=djwu3eywpk4nm Data Analysis Roadmap https://bit.ly/3YpMM2y Master Data Analysis with Python - Intro to Pandas 2022 [4.7 star ratings out of 5] https://bit.ly/3LkLtLj Free Data Analytics Test https://www.alooba.com/free-data-analytics-test-intro/ Statistical Data Analysis Free Book http://www.sherrytowers.com/cowan_statistical_data_analysis.pdf Data Analysis with Python and Pyspark https://t.me/learndataanalysis/44 Google Data Analytics Capstone Project_With Python https://www.kaggle.com/code/olumideolaoye1/google-data-analytics-capstone-project-with-python ENJOY LEARNING 👍👍