PowerBI for Data Analyst

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

$1,000/Attendee

Cost

Program Length

3 Days

Upcoming Session

Scheduled by Demand

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9:00AM - 5:00 PM

(Central Time Zone)

Virtual (Teams)

Course Overview

Objectives

Utilize the entire Microsoft BI stackConnect on-premise data sources to the cloud
Build an enterprise Data Catalog to share queries
Implement scorecards, dashboards, and KPIs
Analyze data with PowerPivot
Integrate data from many different external data sources
Implement effective, high-performing BI solutions
Provide intuitive ad-hoc reporting for business users by implementing Power View

Who Should Attend (Audience Profile)

The audiences for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

Job role: Data Analyst

Preparation for the exam: PL-300

Feedback from the FedEx Attendees

I found it much more relevant than the DA-100 course.
It seems like anyone taking this class would have some knowledge of loading flat files and yet we spent time and a lab doing just that.
Couse covers data modeling… this was great because it allowed us to skip lower-level lessons because we had experience.
Data modeling and data shaping are keys to people doing analytics and this is a major focus of the training.
More data modeling and DAX than in the original DA-100 course.
Demos can be adapted to FedEx Finance or any other FedEx group’s data sets (versus Sales data that is part of the standard offering).
Material is very good and relevant to what I see other data analysis personnel in my org would need in order to improve their skillset.
Of particular interest was row-level security, dataflows/datasets, and modeling.
All of this enables more enterprise-level data layers and less smaller organizational.
Basically, let really smart people build the data model and enable others to plug into it.

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For cancellation notices received more than fifteen business days prior to the class date, students may receive either a full refund or reschedule into another class date.

For cancellation notice less than fifteen business days prior to the class start date, students will receive an voucher in the amount of the paid tuition to use for the same course up to a six months’ time frame and will be automatically put onto the wait list of the course of their choice and granted final admission ten business days prior to class start day based on enrollment levels.