Book Image

Microsoft Power BI Data Analyst Certification Guide

By : Orrin Edenfield, Edward Corcoran
5 (1)
Book Image

Microsoft Power BI Data Analyst Certification Guide

5 (1)
By: Orrin Edenfield, Edward Corcoran

Overview of this book

Microsoft Power BI enables organizations to create a data-driven culture with business intelligence for all. This guide to achieving the Microsoft Power BI Data Analyst Associate certification will help you take control of your organization's data and pass the exam with confidence. From getting started with Power BI to connecting to data sources, including files, databases, cloud services, and SaaS providers, to using Power BI’s built-in tools to build data models and produce visualizations, this book will walk you through everything from setup to preparing for the certification exam. Throughout the chapters, you'll get detailed explanations and learn how to analyze your data, prepare it for consumption by business users, and maintain an enterprise environment in a secure and efficient way. By the end of this book, you'll be able to create and maintain robust reports and dashboards, enabling you to manage a data-driven enterprise, and be ready to take the PL-300 exam with confidence.
Table of Contents (25 chapters)
1
Part 1 – Preparing the Data
6
Part 2 – Modeling the Data
11
Part 3 – Visualizing the Data
15
Part 4 – Analyzing the Data
18
Part 5 – Deploying and Maintaining Deliverables
21
Part 6 – Practice Exams

Conducting time series analysis

Time series analysis involves extracting meaningful data and identifying trends by analyzing your data in time order. You can use this time-ordered data to make predictions about the future, forecasting future needs or desired actions.

Visuals such as line charts can be used alongside the forecasting pane to show how your time series data is predicted to change. Many times, time series analysis involves using plots such as Gantt charts, which can be helpful for scenarios such as project planning or monitoring stock market data. By looking at your data using these tools, you can best identify when events have influenced change in your business. Any events that impact your business should be represented in the data and thus be identifiable when looking at the time series data.

In Figure 13.3, we can see the phases of a project as it moves along the axis of time. Before Feb 07, we can see that the phase was Scope, while the Analysis phase started...