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Almost everyone knows that these are the tools a Data Analyst works with:

➡️ SQL
➡️ Excel
➡️ Power BI/Tableau
➡️ Python

But people getting started with analytics are confused about the preferences of picking these tools.

There are various kinds of data analytics roles available in the market :

➡️ BI + SQL: Will primarily be involved in BI development.

➡️ SQL + Excel: Will primarily work on Excel reporting.

➡️ SQL + Python: Will primarily do data analysis using python.

Now, If you are getting started with learning analytics, choose any one role that interests you the most and focus on completing the primary tools that the role requires. Learn them VERY WELL.

Learn any of the above combinations that interests you first and then start looking out for opportunities which ask for these primary tools and simultaneously start learning the basics of the 3rd tool.

You don't have to focus on being good with each and every tool but being good with any of the above combinations always works.

Join this channel to learn everything about Data Analytics 👇
https://www.tg-me.com/sqlspecialist

Hope this helps you 😊



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Almost everyone knows that these are the tools a Data Analyst works with:

➡️ SQL
➡️ Excel
➡️ Power BI/Tableau
➡️ Python

But people getting started with analytics are confused about the preferences of picking these tools.

There are various kinds of data analytics roles available in the market :

➡️ BI + SQL: Will primarily be involved in BI development.

➡️ SQL + Excel: Will primarily work on Excel reporting.

➡️ SQL + Python: Will primarily do data analysis using python.

Now, If you are getting started with learning analytics, choose any one role that interests you the most and focus on completing the primary tools that the role requires. Learn them VERY WELL.

Learn any of the above combinations that interests you first and then start looking out for opportunities which ask for these primary tools and simultaneously start learning the basics of the 3rd tool.

You don't have to focus on being good with each and every tool but being good with any of the above combinations always works.

Join this channel to learn everything about Data Analytics 👇
https://www.tg-me.com/sqlspecialist

Hope this helps you 😊

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Launched in 2013, Telegram allows users to broadcast messages to a following via “channels”, or create public and private groups that are simple for others to access. Users can also send and receive large data files, including text and zip files, directly via the app.The platform said it has more than 500m active users, and topped 1bn downloads in August, according to data from SensorTower.

Tata Power whose core business is to generate, transmit and distribute electricity has made no money to investors in the last one decade. That is a big blunder considering it is one of the largest power generation companies in the country. One of the reasons is the company's huge debt levels which stood at ₹43,559 crore at the end of March 2021 compared to the company’s market capitalisation of ₹44,447 crore.

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