Microsoft Power BI 4 Days Virtual Live Training in New Orleans/Kenner, LA
Course Description: Power BI is the newest Microsoft Business Intelligence and Data Analysis tool. In this module we will go through basics of this product, and introduce all five components of Power BI (Power Query, Power Pivot, Power View, Power Map, and Power Q&A). You will see some demos and introduction about Power BI desktop, Office 365 Power BI subscription, and Power BI website, and mobile apps. You will see some basic demos of how easy to use is Power BI in some scenarios. Module 1: Introduction to Power BI Power BI is the newest Microsoft Business Intelligence and Data Analysis tool. In this module we will go through basics of this product, and introduce all five components of Power BI (Power Query, Power Pivot, Power View, Power Map, and Power Q&A). You will see some demos and introduction about Power BI desktop, Office 365 Power BI subscription, and Power BI website, and mobile apps. You will see some basic demos of how easy to use is Power BI in some scenarios. Module 2: Getting Data Getting Data is the first experience of working with Power BI. You can connect to many data sources on-premises or on cloud. For some data sources you can have a live or direct connection, for some connection works offline. For some connections you need a gateway or connector to be installed. In this module you will learn everything about get data experience of Power BI. Module 3: Power Query for Data Transformation Data analysis and BI world starts from data extraction and transformation. Power Query is the data transformation engine of Power BI. Power Query comes as part of Excel 2016, or as an add-in for Excel 2013 and 2010. Power Query is also part of Power BI Desktop. In this module you will learn about all different version of Power Query, their similarities, and differences, as well as configuration and requirements of using them.Power Query uses a graphical user interface to apply transformations on the dataset. However Power Query works with a functional scripting language behind the scenes. The key to learn Power Query is learning the functional language called M. There are many features in M that are not available in the Power Query GUI. In this module you will learn how to understand M, and how to write M scripts even from scratch. You will learn writing custom functions in M as well as many other useful features. Module 4: Power Pivot for Data Modelling Power Pivot is xVelocity in-memory data modelling engine of the Power BI. Modelling effectively is the key of high performance BI solution. In this module you will learn basics of Power Pivot such as creating relationships, and calculated members, as well as advanced best practices and DAX expressions. DAX is Data Analytical eXpression language. DAX has similar structure to excel functions, but it is different. In this module you will learn DAX from beginner to advance. You will learn basic functions as well as complex functions and scenarios of using them in real world challenges. Module 5: Data Visualization with Power BI Desktop, Power View and Power Map Data Visualization is the front end of any BI application, this is the user view point of your system. It is critical to visualize measures, and dimensions effectively so the BI system could tell the story of the data clearly. In this module you will learn conceptual best practices of data visualizations which is valid through all data visualization tools. You will learn Power View and Power Map skills. Power View is the interactive data visualization tool and Power Map is 3D geo-spatial data visualization tool. You will learn how to create effective charts, and dashboards using these tools as well as best practices for working with these tools. There are two version of Power View; Power View for Excel, and Power View for SharePoint which will be covered in this module as well. Module 6: Designing the best solution with Power Q&A Power BI introduced a new engine for users which focus on users who wants to play with the
New Orleans, Louisiana, United States
New Orleans, LA
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