A colourful dashboard can catch someone’s attention. A useful dashboard gives them a reason to keep looking.<\/p>\n\n\n\n
When choosing Power BI projects, begin with a question that a business team might ask. Then show how you prepared the data, defined the metrics and checked the result. Here are three manageable ideas.<\/p>\n\n\n\n
Project one: A retail sales report<\/strong><\/p>\n\n\n\n Use a public or synthetic dataset with orders, dates, products, quantities and prices. Ask which products contribute most to sales and how performance changes over time.<\/p>\n\n\n\n Build a monthly trend and a product comparison. Decide how discounts, returns and cancelled orders should be handled. Write those decisions in the project notes.<\/p>\n\n\n\n Your explanation should include what each row represents. If the same order appears across several product rows, counting rows is not the same as counting orders.<\/p>\n\n\n\n Project two: A customer support dashboard<\/strong><\/p>\n\n\n\n Create a dataset with ticket IDs, categories, opening dates, closing dates and status. Explore which categories take longer to resolve.<\/p>\n\n\n\n Separate open tickets from resolved tickets. An unresolved ticket does not yet have a final resolution time. Explain whether your duration calculation uses calendar hours or business hours.<\/p>\n\n\n\n Add a short recommendation, such as investigating a category with a growing backlog. Avoid blaming a team without evidence about workload and case complexity.<\/p>\n\n\n\n Project three: An inventory report<\/strong><\/p>\n\n\n\n Use stock records and product movements to identify items that may need attention. Include opening stock, purchases, sales and closing stock.<\/p>\n\n\n\n Check whether the figures reconcile. An item with high sales may still have enough stock, while an item with fewer sales may be close to running out.<\/p>\n\n\n\n Explain that any reorder suggestion depends on assumptions such as delivery time and expected demand. This makes the project more useful than a simple list of low-stock products.<\/p>\n\n\n\n Show the work behind the dashboard<\/strong><\/p>\n\n\n\n Include a short README or project summary covering the source, cleaning steps, relationships, calculations and findings. Add readable screenshots and instructions for opening the report.<\/p>\n\n\n\n Microsoft’s Power BI learning resources cover data preparation, modelling and visualisation. Use these stages as a checklist for what you should be able to explain, rather than focusing only on the final screen.<\/p>\n\n\n\n On your resume, write what you built. For example: “Built a retail sales dashboard with monthly trends and product comparisons; checked order counts and documented return handling.” Do not invent a business improvement percentage.<\/p>\n\n\n\n You can explore Itvedant’s<\/a> Data Science & Analytics with AI<\/a> programme if you want a broader learning path connecting reporting with SQL, Python and analysis.<\/p>\n\n\n\n Frequently asked questions<\/strong><\/p>\n\n\n\n How many Power BI projects should I include?<\/strong><\/p>\n\n\n\n Start with two or three clear projects. A small collection that you can explain is more useful than several unfinished dashboards.<\/p>\n\n\n\n Can I use a dataset from a tutorial?<\/strong><\/p>\n\n\n\n Yes, subject to its usage terms. Credit the source and add your own question or analysis. Clearly identify any work adapted from a tutorial.<\/p>\n\n\n\n Should I learn DAX before starting?<\/strong><\/p>\n\n\n\n You can begin with basic reporting and learn calculations as needed. Make sure you understand each measure you add and how filters affect it.<\/p>\n\n\n\n Can AI help me write DAX?<\/strong><\/p>\n\n\n\n It can suggest formulas, but test them against known totals and different filters. A formula can be valid and still calculate the wrong business metric.<\/p>\n\n\n\n Should I publish my dashboard publicly?<\/strong><\/p>\n\n\n\n Only if the data is safe to share and you have permission. Public sharing is not suitable for confidential customer or employer information.<\/p>\n","protected":false},"excerpt":{"rendered":" A colourful dashboard can catch someone’s attention. A useful dashboard gives them a reason to keep looking. 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