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Autor Tópico: MS Excel Exam Guide: Analyzing and Visualizing Data  (Lida 270 vezes)

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MS Excel Exam Guide: Analyzing and Visualizing Data
« em: 01 de Julho de 2020, 09:35 »

MS Excel Exam Guide: Analyzing and Visualizing Data
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 28 lectures (4 hour, 12 mins) | Size: 2.07 GB
Gain Skills in Data Analysis with Excel. Pass the Microsoft 70-779 Exam. Grow Your Career with an Excel Certification.

What you'll learn

Building queries in Excel
Combining data from multiple files
Modeling data in Excel's Data Model
Transforming and cleaning data
Splitting data
Merging data
Pivoting data
Building relationships between data sets
Calculating implicit DAX measures
Calculating explicit DAX measures
Building Basic and Advanced DAX functions
Creating KPIs in Excel
Creating Hierarchies in Excel
Building and formatting Pivot Tables
Building and formatting Pivot Charts
Creating and using calendar tables
Understanding Question styles and formats for the Excel certification exam
Using both Excel with Power BI

Requirements

PC with internet connection

Description

Microsoft Excel is one of the most important software programs ever created. Businesses large and small, in countries all around the world, run off of systems and processes built on and around Excel. With so many people using Excel as part of their day-to-day jobs, it is more important than ever for you to stand out from the crowd and certify your Excel skills so you can contribute and be entrusted with these business-critical opportunities.

Enter this course. Designed directly off the study guides and outlines for the Excel 70-779 Exam, this course provides not only the theory but also the practical and foundational skills needed to pass the certification exam and stand out from the crowd. Not only will you be well prepared for the exam, but you'll also build out a skill set that will be in demand for years to come.

When you're ready to professionally certify your Excel skills, this is the course for you.

Who this course is for:

Data Analysts who want to expand their analytical toolkit
And Business Analysts looking to further their technical abilities

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