𝐇𝐨𝐰 𝐭𝐨 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞 𝐝𝐚𝐭𝐚 𝐯𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 𝐚𝐬 𝐚𝐧 𝐚𝐬𝐩𝐢𝐫𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐭?

Here's a step-by-step guide for the same:

Step 1️⃣ - Download a practice dataset. I'd recommend the Codebasics resume project challenge dataset (as it contains multi-table datasets).

Step 2️⃣ - Open your preferred RDBMS tool (SQL server/MySQL). Create a local database to load the dataset.

Step 3️⃣ - Import the practice dataset (.xlsx/.csv) into this database by creating the tables (please google if you need help).

Step 4️⃣ - Now open Power BI desktop and connect to the local database using the appropriate connector.

Step 5️⃣ - Build the dashboard using the questions shared in the resume project challenge.

Step 6️⃣ - Now, you can validate the output of your dashboard by writing SQL queries.

Step 7️⃣ - Try to write an SQL query for a question asked in the challenge. You need to convert a natural language question into an SQL query.

Step 8️⃣ - Compare the query output with the dashboard output and check if the numbers are matching. If they aren't matching, either the query is wrong or the dashboard numbers are wrong. Hence, try to identify the gap.

Step 9️⃣ - Repeat the process for every question asked in the challenge.

Thus, you will learn and practice both SQL and Power BI simultaneously.

𝐖𝐡𝐲 𝐬𝐡𝐨𝐮𝐥𝐝 𝐲𝐨𝐮 𝐭𝐫𝐲 𝐭𝐡𝐢𝐬 𝐦𝐞𝐭𝐡𝐨𝐝?

In real-world scenarios, 𝐝𝐚𝐭𝐚 𝐯𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 is a very important step in every analytics project. One needs to compare the output of the report/dashboard with the data source and then launch it for usage, to avoid discrepancies.

This will help you weed out any mistakes that you have applied in your report/dashboard logic.

Best Telegram Channel for Data Analysts: https://t.me/sqlspecialist