Needed a clearer handle on how Power BI actually works under the hood, not just clicking charts. The Data Model internals bit where VertiPaq compression vs relationships in the Model view, plus the DAX row vs filter context walk-through with CALCULATE, stuck. It helped me reason about why a report broke between repo branches and a PR when CI refreshed datasets, thinking about prod refresh, RPS spikes, and obs. I wasn't sold on the visuals section pace and wished for more on infra and arch, but it's one I'd probably pass along anyway.

Quick ramp for client dashboards; the “Power Query Editor > Merge Queries” walk-through with the sales.csv example stuck, especially fixing data types before visuals. It's mostly paced for zero-basics; wished there'd been more on basic DAX measures beyond SUM, but it got me shipping a usable report to prod fast.

Feels aimed at the stuff that pages you at 3am when a dashboard goes sideways in prod, not theory. The Modeling chapter where he walks through CALCULATE vs FILTER using the sales table example stuck; seeing how it impacts refresh time made it click fast. i've already applied a couple tweaks to a client repo without touching infra or CI. Mostly good for beginners, though I wasn't sold on the visuals section, but I’m leaving with a clearer handle on performance tuning and where to look before obs starts yelling.

Good ramp for beginners; the Power Query section where you merge tables and fix data types before loading to the model stuck. It's mostly practical, though I wasn't sold on how briefly DAX got covered—CALCULATE with filters felt rushed for a prod dataset.

Much of it mirrored problems popping up in the current sprint, especially getting basic reporting out without blowing up prod. The Star Schema chapter and the quick demo where the instructor fixes a broken relationship and re-runs a DAX CALCULATE stuck with me. Useful for day-to-day work: setting up a repo-backed PBIX, thinking about refresh failures in CI, and sanity-checking RLS before a PR goes out—stuff docs gloss over. It's mostly beginner-paced, and I wasn't sold on the visuals design bit, but it's updated my internal model in ways the docs never did.

One gripe first: the DAX section moved a bit fast; module 4 on CALCULATE vs FILTER could’ve used another pause. After that, it addressed a few bottlenecks I’ve been hitting lately with Power BI at work. The walkthrough in Modeling > Relationships, especially the cardinality demo with the Sales and Date tables, finally clicked. I liked the concrete bit on publishing to the Service and handling workspace access before pushing to prod; that’s a daily concern. The labs were practical, even if they assume you’ve already got Excel imports dialed in. It wasn’t flashy, but it cleared up some grey areas around filter context and when to fix things in Power Query vs DAX. I've already adjusted a report in prod because of it.

most of the concepts were explained through PPT slides. While the theoretical explanation was helpful to understand the basics, I was expecting more live demonstration in Power BI, such as creating dashboards, loading data, building visuals, and practical use cases. Since Power BI is a hands-on tool, live implementation would have helped me gain better clarity and confidence to apply the concepts in real work scenarios. Due to the lack of practical demonstration, I felt the learning outcome was