Data Analytics & Power BI: Master Mock Exams

Building a bar chart in Excel is easy. But how do you build a dashboard that pulls data from three different databases, automatically cleans it, relates it together, and dynamically calculates Year-over-Year growth—all without crashing the server? That is the job of a Business Intelligence (BI) Developer. Passing a technical interview for a Data Analytics role, or earning the Microsoft PL-300 certification, requires you to go far beyond simply making data look "pretty." The Data Analytics & Power BI: Master Mock Exams course is designed to test your architectural and analytical judgment under real-world constraints. This course abandons basic chart trivia and throws you directly into the shoes of a Lead Data Analyst. Across four massive sets of rigorous, scenario-based case studies, you will face complex data challenges. First, you will tackle ETL & Data Preparation, figuring out how to use Power Query to clean messy data and leverage "Query Folding." Next, you will dive into the backbone of BI: Data Modeling. You will test your ability to design robust Star Schemas and fix ambiguous cross-filtering errors. The exams get progressively more technical as you move into the math. The third section rigorously tests your mastery of DAX (Data Analysis Expressions). You will be challenged on Row vs. Filter Context, the CALCULATE() function, and Time Intelligence. Finally, we cover Data Visualization & Storytelling. You will be tested on choosing the right charts (e.g., Waterfall vs. Scatter) and designing accessible, F-pattern dashboard layouts. Every question features a detailed explanation to ensure you truly learn how to build enterprise-grade analytics. Basic Info: Course locale: English (India) Course instructional level: Intermediate Level Course category: IT & Software Course subcategory: Business Intelligence Who this course is for: Aspiring Data Analysts and BI Developers preparing for technical interviews and the Microsoft PL-300 certification. "Excel Power Users" who want to transition from flat spreadsheets into robust, relational data modeling and DAX. Product Managers and Business Analysts who want to build better, more actionable executive dashboards.