Course 55164-A: Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map and Power BI Course Overview

Course 55164-A: Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map and Power BI Course Overview

The course 55164-A: Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map, and Power BI is designed to provide learners with a comprehensive understanding of Microsoft's suite of Data analysis and visualization tools. The training covers the core components of the Power BI suite, enabling participants to create Interactive reports, perform Data analysis, and gain insights from their data. Through a series of modules, students will explore the interfaces of Power View, PowerPivot, Power Query, and Power Map, learning to load data, manage relationships, and utilize advanced functions such as DAX and KPIs. Additionally, the course introduces Power BI and its integration with Excel, Querying capabilities, and Data source management. By the end of this course, learners will be equipped with the skills to harness the full potential of these powerful tools for robust data visualization and analysis, making 55164-A a valuable asset for professionals seeking to enhance their BI competencies.

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Course Prerequisites

To ensure that you can successfully undertake the Course 55164-A: Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map, and Power BI, the following are the minimum required prerequisites:


  • Basic understanding of databases and familiarity with the Microsoft Office interface, particularly Excel.
  • Experience with Excel functions and formulas for data manipulation and analysis.
  • Comfort with navigating the Windows operating system and basic file management skills.
  • An interest in data visualization and business intelligence.

No advanced technical skills are required to start this course, as it is designed to introduce these powerful data analysis tools. With the provided context and your willingness to learn, you will be well-equipped to dive into the course material.


Target Audience for Course 55164-A: Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map and Power BI

Course 55164-A equips professionals with skills in data visualization and analysis using Microsoft's powerful suite of Power BI tools.


  • Data Analysts
  • Business Intelligence Professionals
  • Reporting Specialists
  • Business Analysts
  • IT Professionals seeking to enhance data presentation skills
  • Data Scientists who want to communicate data insights effectively
  • Excel Power Users
  • Project Managers requiring data-driven decision-making abilities
  • Marketing Analysts interested in visualizing market trends and data
  • Financial Analysts needing to create dynamic financial models and dashboards
  • Database Administrators looking to report on database metrics
  • Product Managers who analyze user data for product development decisions
  • Sales Analysts creating sales performance dashboards and reports
  • Consultants who provide insights and data visualization solutions to clients


Learning Objectives - What you will Learn in this Course 55164-A: Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map and Power BI?

  1. Introduction: This course equips students with the skills to create compelling graphics and reports using Power View, PowerPivot, Power Query, Power Map, and Power BI within Excel.

  2. Learning Objectives and Outcomes:

  • Gain proficiency in utilizing Power View to create interactive reports and visual analytics.
  • Learn to process large datasets with PowerPivot and perform complex data modeling operations.
  • Master the use of Power Query for data discovery, transformation, and enrichment.
  • Acquire the ability to integrate geographic data visualization using Power Map.
  • Understand how to leverage Power BI for cohesive data analysis and sharing insights.
  • Develop skills to use advanced functions and create calculated columns and fields in PowerPivot.
  • Learn to apply and interpret Key Performance Indicators (KPIs) and hierarchies in data models.
  • Experience the creation and theming of Power View reports including charts, slicers, and tiles.
  • Understand the fundamentals of the Data Analysis Expressions (DAX) language for advanced calculations.
  • Explore the capabilities of querying data with natural language in Power BI.

Technical Topic Explanation

Power View

Power View is a data visualization technology from Microsoft that allows for interactive data exploration and visual analytics primarily within Microsoft Excel and Microsoft SharePoint. With Power View, users can create and interact with charts, maps, and other graphical representations of data. This tool enables businesses to turn raw data into meaningful insights through dynamic, data-driven visualizations, facilitating easier comprehension and decision-making. It’s especially helpful in revealing hidden trends and patterns in data to support more informed and strategic business decisions.

PowerPivot

PowerPivot is a feature in Microsoft Excel that allows users to perform powerful data analysis and create sophisticated data models. It enables you to import large volumes of data from various sources directly into Excel, where you can manipulate, analyze, and summarize data quickly and efficiently in a spreadsheet format. By using PowerPivot, professionals can integrate different databases and sources, create relationships between heterogeneous data, craft complex calculations using DAX formulas, and produce compelling data visualizations in Excel, enhancing their ability to make informed business decisions based on extensive data analysis.

Power Query

Power Query is a tool for gathering, transforming, and loading data into Excel or Power BI. It helps you collect data from various sources, clean it, and reshape it in a user-friendly interface without needing advanced programming skills. You can automate data updates, merge data from different sources, and prepare it for analysis or reporting. This makes it easier and faster to turn raw data into actionable insights, enhancing productivity and decision-making in business contexts.

Power Map

Power Map is an advanced visualization tool within Microsoft Excel that allows users to create interactive maps to display and analyze geographical and temporal data. By integrating location-based data with time-stamped data points, users can create dynamic, three-dimensional, and story-driven tours that highlight trends, patterns, and outliers. This tool enables professionals to transform raw data into compelling visual stories, making it easier to present complex information and insights in a more understandable and impactful way. Power Map enhances decision-making and presentations with powerful spatial and temporal analysis.

Power BI

Power BI is a business analytics tool developed by Microsoft that enables you to visualize your data and share insights across your organization, or embed them in an app or website. It collects data from various sources and transforms it into interactive dashboards and BI reports. The tool helps users to create personalized reports and dynamic dashboards, which facilitate understanding and decision-making through compelling visuals and interactive elements. It's particularly useful for deriving insights from complex data, identifying trends, and making data-driven decisions to improve business performance.

Interactive reports

Interactive reports are dynamic data presentations that allow users to engage meaningfully with the information. Unlike static reports, users can drill down into specifics, filter and sort data, or even manipulate variables to explore different scenarios. This interactivity enhances understanding and decision-making by presenting data in a more accessible, customizable format. Ideal for businesses or educational settings, interactive reports cater to specific informational needs and enable more efficient data analysis and interpretation.

Data analysis

Data analysis is the process of examining data sets to draw conclusions about the information they contain. Using various techniques and tools, analysts can identify trends, patterns, and relationships within the data. This understanding can help organizations make informed decisions, predict future trends, and enhance operational efficiency. It's widely applied in various fields such as finance, marketing, healthcare, and more, providing actionable insights that are critical in strategic planning and decision-making processes.

Data visualization

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. In a professional context, effective data visualization helps to examine complex data sets, decipher the results quickly, and communicate findings clearly, facilitating data-driven decision making.

DAX

DAX, short for Data Analysis Expressions, is a formula language used in Power BI, Excel Power Pivot, and SQL Server Analysis Services. It enables users to create custom calculations for analytical processing through simple and complex formulas. DAX includes functions that handle relational data as intuitively as Excel handles numbers. This makes it powerful for data manipulation and analysis, allowing users to uncover insights and trends from the data more efficiently, enhancing decision-making processes in business environments.

Querying capabilities

Querying capabilities refer to the methods and tools used to search, retrieve, and manipulate data within a database. This skill is crucial in various fields for analyzing data, generating reports, and making data-driven decisions. Users utilize specific structured query languages, such as SQL, to write queries that access the needed information. Effective querying helps in efficiently retrieving accurate and relevant data, which can influence strategic business decisions and operational procedures.

Data source management

Data source management involves organizing and maintaining the sources from which data is obtained. It ensures that data is accurate, accessible, and secure for use in business processes or analysis. Effective management helps in integrating data from various sources and making it available for insightful decision-making, helping to streamline operations and improve business strategies. This process is crucial for businesses to handle the increasing volume and complexity of data efficiently.

Target Audience for Course 55164-A: Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map and Power BI

Course 55164-A equips professionals with skills in data visualization and analysis using Microsoft's powerful suite of Power BI tools.


  • Data Analysts
  • Business Intelligence Professionals
  • Reporting Specialists
  • Business Analysts
  • IT Professionals seeking to enhance data presentation skills
  • Data Scientists who want to communicate data insights effectively
  • Excel Power Users
  • Project Managers requiring data-driven decision-making abilities
  • Marketing Analysts interested in visualizing market trends and data
  • Financial Analysts needing to create dynamic financial models and dashboards
  • Database Administrators looking to report on database metrics
  • Product Managers who analyze user data for product development decisions
  • Sales Analysts creating sales performance dashboards and reports
  • Consultants who provide insights and data visualization solutions to clients


Learning Objectives - What you will Learn in this Course 55164-A: Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map and Power BI?

  1. Introduction: This course equips students with the skills to create compelling graphics and reports using Power View, PowerPivot, Power Query, Power Map, and Power BI within Excel.

  2. Learning Objectives and Outcomes:

  • Gain proficiency in utilizing Power View to create interactive reports and visual analytics.
  • Learn to process large datasets with PowerPivot and perform complex data modeling operations.
  • Master the use of Power Query for data discovery, transformation, and enrichment.
  • Acquire the ability to integrate geographic data visualization using Power Map.
  • Understand how to leverage Power BI for cohesive data analysis and sharing insights.
  • Develop skills to use advanced functions and create calculated columns and fields in PowerPivot.
  • Learn to apply and interpret Key Performance Indicators (KPIs) and hierarchies in data models.
  • Experience the creation and theming of Power View reports including charts, slicers, and tiles.
  • Understand the fundamentals of the Data Analysis Expressions (DAX) language for advanced calculations.
  • Explore the capabilities of querying data with natural language in Power BI.