Course Features
Duration
3 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
3 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Exploratory Data Analysis in Power BI
What You Will Learn
In this chapter, you’ll get more familiar with time-based variables and the multiple ways to extract further variables using eda for analysis—like day of week and time difference
You’ll get hands-on with Power BI as you build line charts to calculate new metrics and uncover trends hiding in your data—including period-over-period change and rolling averages
You’ll get more familiar with time-based variables and the multiple ways to extract further variables using eda for analysis—like day of week and time difference
You’ll get hands-on with Power BI as you build line charts to calculate new metrics and uncover trends hiding in your data—including period-over-period change and rolling averages
You'll learn about decomposition trees, how to construct, then interpret in order to explain a target outcome by other variables
You'll build another native Power BI tool, key influencers visual
It helps you to understand how much a target outcome changes based on specific variables and segments of observations
Course Instructors
Maarten Van den Broeck
Content Developer at DataCamp
Jacob Marquez
Data Scientist at Microsoft
Course Reviews
Average Rating Based on 3 reviews
100%