Power BI connects to a range of data sources, from basic Excel spreadsheets to databases, and both cloud-based and on-premise apps.
Power BI is something of an umbrella term and can refer to either a Windows desktop application called Power BI Desktop, an online SaaS (Software as a Service) service called Power BI Service, or mobile Power BI apps available on Windows phones and tablets, as well as for iOS and Android devices.
Power BI is built on the foundation of Microsoft Excel, and as such, the learning curve from Excel to Power BI is not that steep; anyone who can use Excel can use Power BI, but the latter is far more powerful than its spreadsheet counterpart.
Microsoft Power BI is used to run reports and surface insights based on a company’s data. Power BI can connect to a wide range of data sets, and “tidies up” the info it’s fed so that it can be better digested and understood. The reports and visuals generated from this data can then be shared with other users.
Power BI helps users see not only what’s happened in the past and what’s happening in the present, but also what might happen in the future. Power BI is infused with machine learning capabilities, meaning it can spot patterns in data and use those patterns to make informed predictions and run “what if” scenarios. These estimates allow users to generate forecasts, and prepare themselves to meet future demand and other key metrics.
In This Course Analyze 8 Real World Projects
Project-1: Covid 19 Dataset Analysis
Project-2: Global Terrorism Data Analysis
Project-3: 2019 Cricket World Cup Data Analysis
Project-4: Fruit Sales and Inventory Analysis
Project-5: Customer Preference – Email Marketing Data Analysis
Project-6: Olympics Dataset Analysis
Project-7: Unemployed Citizens Data Analysis
Project-8: Customer Analysis – Banks Dataset