
Power BI for Data Analytics - Full Course for Beginners
𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝘂𝘁𝗹𝗶𝗻𝗲
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0️⃣ 𝗜𝗻𝘁𝗿𝗼
- Welcome
- What is Power BI?
- Course Intro
1️⃣ 𝗚𝗿𝗮𝗻𝗱 𝗧𝗼𝘂𝗿
- Power BI Desktop
- Dashboard Build
- Power BI Service 2️⃣ 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀
- Column & Bar Charts
- Line & Area Charts
- Common Charts
- Map Charts
- Uncommon Charts
- Tables
- Cards
- Slicers
- Buttons & Bookmarks 📊 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 #𝟭
- Main Dashboard
- Job Drill Through
- Share Dashboard 3️⃣ 𝗣𝗼𝘄𝗲𝗿 𝗤𝘂𝗲𝗿𝘆
- Power Query Intro
- Power Query Editor
- Project #2: Data Import
- Advanced Transformations
- Append Vs Merge
- M Language 4️⃣ 𝗗𝗔𝗫
- DAX Intro
- Explicit Measures
- Parameters 📉 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 #𝟮
- Dashboard Build
- Share Dashboard
✅ Exactly — that’s the right approach if you want to do data cleaning and transformation online in the Power BI Service!
Let’s lock this in for you step-by-step:
✅ 🔑 Key concept
- In Power BI Online (Service), Power Query is only available through Dataflows (Gen2).
- This lets you build a cloud-based data pipeline, so you do not need to clean your data locally in Power BI Desktop every time.
- Your cleaned data is saved in OneLake automatically.
✅ ✔️ How you should start
1️⃣ Start with ➜ New Dataflow Gen2
- Go to your workspace.
- Click
New
➜Dataflow Gen2
.
2️⃣ Connect to your raw data source
- Click ‘Add new tables’.
- Pick where your raw data lives:
- Upload a CSV/Excel file from your computer,
- Connect to a SharePoint folder,
- Or link to a database, API, etc.
3️⃣ This opens ➜ Power Query Online
- Now you’re inside Power Query (but fully in the cloud).
- You can do all the cleaning steps: filter, split, merge, remove nulls, change data types, deduplicate, etc.
4️⃣ Click ➜ Save & Close
- Your cleaned data is now stored as a Dataflow Gen2 table.
- This is your single source of truth — reusable across reports!
5️⃣ Use it in reports
- In Power BI Service or Desktop, click ‘Get Data’ ➜
Dataflows
. - Choose your Dataflow Gen2 table.
- Now you’re building reports on clean, cloud-managed data.
✅ 📌 Practical summary
If you want to… | Then do this |
Clean & transform data online | Always start with Dataflow Gen2 |
Store it in OneLake automatically | That happens as soon as you save the Dataflow |
Reuse the clean data | Connect reports/datasets to the Dataflow Gen2 |
🔗 This is the modern way:
Dataflow Gen2 ➜ Power Query Online ➜ OneLake ➜ Reusable datasets ➜ Reports