Foundations of Data Analysis: Excel to Power BI โ€” LearnFlat

Foundations of Data Analysis: Excel to Power BI

Transform raw data into meaningful business insights using Excel and Power BI without writing a single line of code.

โฑ 1h 55m ๐Ÿ“š 8 lessons

About this course

Data is everywhere, but making sense of it can feel overwhelming if you do not know where to start or do not want to learn complex programming languages. This course guides you through the complete data analysis process using industry-standard tools, bridging the gap between basic spreadsheets and professional business intelligence. What you will learn: โ€ข Understand fundamental data terminology and core analytical concepts. โ€ข Organize and analyze datasets using modern Excel features like dynamic arrays and PivotTables. โ€ข Clean and transform raw data effortlessly using Power Query fundamentals. โ€ข Build solid data models to connect multiple information sources accurately. โ€ข Design clear reports in Power BI to communicate insights effectively. โ€ข Apply no-code techniques to solve real-world business problems. The course begins with essential data definitions and foundational concepts before advancing into practical data transformation and reporting techniques. You will progress through written explanations and exercises that build your confidence step by step. Designed explicitly for absolute beginners, this program requires no prior analytical experience and absolutely no programming background. Start your data analysis journey today and learn to turn raw numbers into valuable business insights.

What you'll get

  • ๐Ÿ“œ Certificate of completion
    Add it to your LinkedIn profile
  • ๐Ÿ’ฌ Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • โ™พ๏ธ Lifetime access
    Come back anytime, no expiry
  • ๐Ÿ“ฑ Phone or computer
    Works anywhere, any device
  • ๐Ÿ’ธ 14-day refund
    No questions asked
  • โšก Short & focused
    1h 55m of practical content

Reviews (2)

Chloe Evans NZ
โ˜… 4 ยท 2025-11-06T23:43:55+00:00

Coming from a marketing background with no coding skills at all, I was nervous this would be over my head, but it really wasn't. The course walks you nicely from cleaning data in Excel into building actual visuals in Power BI, and the no-code promise holds up the whole way through. I especially liked how it showed when to stay in Excel versus when to move into Power BI, which is a question I always struggled with. My only small gripe is that the Power Query section felt a touch rushed and I had to rewatch a couple of parts. Still, I can now turn a messy export into a clean dashboard, which is exactly what I came for, so I'd happily recommend it.

Isla Thomas AU
โ˜… 4 ยท 2025-04-19T14:38:26+00:00

What sold me on this one is that it doesn't assume you're already a spreadsheet wizard. I work in operations and mostly needed to make sense of monthly reports, and the progression from Excel formulas to Power BI dashboards matched exactly how my brain wanted to learn it. The examples use realistic business data, not toy numbers, so it actually felt relevant to my job. I'd have loved a bit more depth on connecting multiple data sources, since that came up later for me at work and wasn't covered in detail. That said, the foundations here are solid and I left feeling confident enough to keep exploring on my own.

Write a review

โ˜†โ˜†โ˜†โ˜†โ˜†
You'll be asked to sign in after sending โ€” your draft is saved.

Learners also took

Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We donโ€™t store card details โ€” Stripe handles them securely.

Can I get a refund? +

Yes โ€” full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

Built for learners in
Tech Design Finance Marketing Healthcare Education Hospitality Manufacturing