ru
Feedback
Data Analytics

Data Analytics

Открыть в Telegram

Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data

Больше

📈 Аналитический обзор Telegram-канала Data Analytics

Канал Data Analytics (@sqlspecialist) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 109 775 подписчиков, занимая 1 114 место в категории Технологии и приложения и 2 321 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 109 775 подписчиков.

Согласно последним данным от 29 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 523, а за последние 24 часа — 6, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.41%. В первые 24 часа после публикации контент обычно набирает 1.49% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 2 646 просмотров. В течение первых суток публикация набирает 1 630 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 7.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как row, sql, analytic, analyst, visualization.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Perfect channel to learn Data Analytics Learn SQL, Python, Alteryx, Tableau, Power BI and many more For Promotions: @coderfun @love_data

Благодаря высокой частоте обновлений (последние данные получены 30 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

109 775
Подписчики
+624 часа
+1717 дней
+52330 день
Архив постов
Which situation is perfect to use bar chart?
Anonymous voting

Dashboards cannot be used to show which of the following?
Anonymous voting

Which data source is supported by Tableau and Power BI?
Anonymous voting

MySQL In a Nutshell Russell J.T. Dyer, 2008

Automated Machine Learning on AWS Trenton Potgieter, 2022

Learning Predictive Analytics with Python

1.How to create filters in Power BI? Filters are an integral part of Power BI reports. They are used to slice and dice the data as per the dimensions we want. Filters are created in a couple of ways. Using Slicers: A slicer is a visual under Visualization Pane. This can be added to the design view to filter our reports. When a slicer is added to the design view, it requires a field to be added to it. For example- Slicer can be added for Country fields. Then the data can be filtered based on countries. Using Filter Pane: The Power BI team has added a filter pane to the reports, which is a single space where we can add different fields as filters. And these fields can be added depending on whether you want to filter only one visual(Visual level filter), or all the visuals in the report page(Page level filters), or applicable to all the pages of the report(report level filters) 2.How to sort data in Power BI? Sorting is available in multiple formats. In the data view, a common sorting option of alphabetical order is there. Apart from that, we have the option of Sort by column, where one can sort a column based on another column. The sorting option is available in visuals as well. Sort by ascending and descending option by the fields and measure present in the visual is also available. 3.How to convert pdf to excel? Open the PDF document you want to convert in XLSX format in Acrobat DC. Go to the right pane and click on the “Export PDF” option. Choose spreadsheet as the Export format. Select “Microsoft Excel Workbook.” Now click “Export.” Download the converted file or share it. 4. How to enable macros in excel? Click the file tab and then click “Options.” A dialog box will appear. In the “Excel Options” dialog box, click on the “Trust Center” and then “Trust Center Settings.” Go to the “Macro Settings” and select “enable all macros.” Click OK to apply the macro settings.

1.What is quick filter in tableau? Whenever using a filter in Tableau, it comes with some options to change the functionality of filter very easily, such as using it as a single value drop down or single value list or multiple value list or multiple value drop down and various other options. After we set a filter to a sheet just right click on the sheet and there you can see all the quick filter options. Changes made to these options will also change the aesthetics of filter shown on the sheet. 2.How to calculate percentage in tableau? To calculate the percentage of data on your worksheet. Go to Analysis pane and select Percentages of, there you will see a lot percentage options such as percentage of table, column, row, pane, row in pane, column in pane and cell. Select any of the above options then define the total value o which percentage is to be calculated. The option you choose will be uniform to all the rows and columns and there is no way to specify different options to rows and columns. 3. What is Power Pivot? The Power Pivot is an in-memory data modeling component. It provides highly compressed data storage with fast calculation. It helps you build a data model, relationships, creating formulas, calculated columns, Pivot Tables, and Pivot Charts from multiple resources. 4. What is x-velocity in Power Pivot? X-Velocity is the in-memory analytics engine behind Power Pivot that loads and handles huge data in Power BI. It stores data in columnar storage that results in faster processing.

Python Deep Learning Second Edition 👇 book
Python Deep Learning Second Edition 👇 book

Now that you have gained all the right skills, you need to showcase your skills and stand out from others to land a job. Projects and Portfolios will do that for you, so invest an ample amount of time in preparing these. You can find enough and more datasets in Kaggle for doing projects. Do a bit research and start working on it. Once its done, prepare an insightful resume and start applying for jobs and internships.

Free Resources for Numpy and Pandas: Codebasics Numpy playlist:  https://www.youtube.com/playlist?list=PLeo1K3hjS3uset9zIVzJWqplaWBiacTEU Codebasics pandas playlist (first 9):  https://www.youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy Freecodecamp matplotlib playlist:  https://youtu.be/3Xc3CA655Y4 Seaborn tutorials:  https://youtu.be/GcXcSZ0gQps Pandas for beginners https://t.me/datasciencefun/660 Numpy for beginners https://t.me/datasciencefree/156

Free Resources for Python Codebasics python tutorials (first 16) —  https://www.youtube.com/playlist?list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0 Practice Python course https://dabeaz-course.github.io/practical-python/Notes/Contents.html Codebasics python HINDI tutorials —  https://www.youtube.com/playlist?list=PLPbgcxheSpE1DJKfdko58_AIZRIT0TjpO Useful Python resources for beginners https://t.me/programming_guide/8 Python 3 Book for beginners https://t.me/pythondevelopersindia/272?single

Don't focus on learning too many things from multiple resources at a time. That's why i am sharing only limited resources

Which of the following skill/skills you already know?
Anonymous voting

Data Analyst Roadmap
Data Analyst Roadmap