In this course, you will get hands-on instruction of advanced Excel 2013 functions. You’ll learn to use PowerPivot to build databases and data models. We’ll show you how to perform different types of scenario and simulation analysis and you’ll have an opportunity to practice these skills by leveraging some of Excel's built in tools including, solver, data tables, scenario manager and goal seek. In the second half of the course, will cover how to visualize data, tell a story and explore data by reviewing core principles of data visualization and dashboarding. You’ll use Excel to build complex graphs and Power View reports and then start to combine them into dynamic dashboards.
Data Visualization with Advanced Excel
Data Visualization with Advanced Excel
This course is part of Data Analysis and Presentation Skills: the PwC Approach Specialization
Instructor: Alex Mannella
102,476 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(2,967 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 15 hours
Learn at your own pace
96%
Most learners liked this course
Skills you'll gain
Details to know
Shareable certificate
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Assessments
4 assignments
Taught in English
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This course is part of the Data Analysis and Presentation Skills: the PwC Approach Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
During this first week, you are going to learn about the development of data models and databases. We will cover the components of data sets and the relational database models, database keys, relationships, and joins. We will also look at a tool called PowerPivot that is used to import and prepare data to build relational models, as well as visualize data. By the end of the week, you will have a working knowledge of how to develop a data model. Be sure to complete lessons in the order in which they are sequenced in the course.
What's included
16 videos4 readings1 assignment1 discussion prompt
This week, we are going to explore three different analytical methods used to help model different scenarios and deal with variable uncertainty. These methods are scenario analysis, sensitivity analysis and simulation. We’ll look at what each method is and then go deeper into why and how you use each. Following some guided demonstration, you’ll be given a chance to practice in an Excel workbook and demonstrate what you’ve learned.
What's included
9 videos1 reading1 assignment
This week we are going to focus on data visualization. We will start off by discussing data visualization basics, outlining the theory and concepts behind data visualization. We will also discuss how to enable effective story telling through the correct selection, creation, and presentation of tables and charts. You’ll get a chance to learn how to create detailed graphs and charts to effectively tell a story about your data.
What's included
12 videos1 reading1 assignment
In the final week of this course, you are going to learn how to create a dynamic dashboard. We are going to discuss how to establish a good understanding of your audience and how to collect key requirements in order to determine what type of dashboard to build. We will talk about some guiding design principles and things to consider when building a dashboard. You’ll have a chance to practice everything you learn this week by creating your own functional dashboard in Excel.
What's included
8 videos2 readings1 assignment
Instructor
Instructor ratings
4.7 (258 ratings)Offered by
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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