Our Microsoft Power BI Desktop Introduction course will introduce delegates to Power BI which is a cloud-based business analytics service that allows you to gather, shape, analyse and visually explore data.
DurationOur Microsoft Power BI Desktop Introduction course will introduce delegates to Power BI which is a cloud-based business analytics service that allows you to gather, shape, analyse and visually explore data.
The Power BI Desktop is where you CREATE data models and build visual reports. Once reports are created most use the Power BI Service i.e. App.PowerBI.com to create Dashboards they can share with others to view and interact with, via browsers or on mobile devices.
This basic course is aimed at users new to Power BI to enable them to analyse data and create interesting visual reports.
What Will I Learn:
Enliten IT provides quality business focused training at Introduction, Intermediate, Advanced and VBA levels for all Microsoft software. We also provide training for other vendor software e.g. Asta Powerproject, Adobe CC suite and Oracle technical courses.
Every important business decision relies on clear and accurate data. Learn more about the processes, frameworks and techniques used to analyse and present data - and how AI can present data in different ways to help us understand it better
With Power BI Desktop, you get a report authoring tool that enables you to connect to and query data from different sources using the Query Editor. From the datasets you build with Query Editor you can create Reports and Visualizations or dashboards within Power BI Desktop.
The Microsoft Power BI Introduction course aims to provide relevant and substantive training to anyone working in or coming in contact with Microsoft Office during the normal course of their occupation
Data Visualization has helped to put Complex ideas, data, and information represented in the form of Charts or, Graphs which have always made it easier for Businesses and analysts to get a detailed and overall view of any statistics.
This course focuses on the extensive features of the Python data analysis workhorse library, Pandas, and its visualisation counterpart Matplotlib.
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