Power BI Essentials for Data Analysts 📊⚡

Power BI Essentials for Data Analysts 📊⚡

If you’re starting out in Data Analytics, Power BI is one of the most in-demand tools for building dashboards and visualizing business data. Here's what you should focus on:

1️⃣ Power BI Interface:

– Learn to navigate the workspace: Fields, Visualizations, Data, and Model views.

2️⃣ Data Importing:

– Connect Excel, CSV, SQL, or web data easily.

– Clean and transform data using Power Query Editor.

3️⃣ Building Visuals:

– Use bar charts, line charts, cards, pie charts, and slicers.

– Add filters and drill-throughs for interactive dashboards.

4️⃣ DAX (Data Analysis Expressions):

– Start with basics:

• SUM()

• CALCULATE()

• FILTER()

• IF() and SWITCH()

5️⃣ Relationships & Data Modeling:

– Connect multiple tables via keys.

– Create a star schema if possible.

6️⃣ Publishing & Sharing:

– Publish to Power BI Service.

– Set up scheduled refresh and share dashboards with teams.

💡 Pro Tip:

Practice with open datasets (like Kaggle or government data) and build 2–3 mini dashboards for your portfolio.

💬 Tap ❤️ if this helped!