Tags
Language
Tags
December 2024
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 31 1 2 3 4

MICROSOFT ACCESS, EXCEL & POWER BI FOR BEGINNERS & POWER USERS: The Concise Microsoft Access, Excel & Power BI A-Z Mastery Guid

Posted By: yoyoloit
MICROSOFT ACCESS, EXCEL & POWER BI FOR BEGINNERS & POWER USERS: The Concise Microsoft Access, Excel & Power BI A-Z Mastery Guid

MICROSOFT ACCESS, EXCEL & POWER BI FOR BEGINNERS & POWER USERS: The Concise Microsoft Access, Excel & Power BI A-Z Mastery Guide for All Users
by Demystified, Tech

English | 2021 | ASIN ‏ : ‎ B097F9PS1S | 547 pages | PDF, EPUB, AZW3 | 151.29 MB

Have you set out to become a pro in the use of Microsoft Access, Excel and Power BI?
Are you stuck and have been struggling to have a smooth glide through these powerful Microsoft apps?
If yes, then, discover the keys to glide with ease in this guide!
Firms, individuals, business owners, and organizations amidst others at one point or the other have the need to compile and analyze data, which plays a key role, as it helps to track the progress, areas of strength, areas of improvement, what to continue, and what to discontinue to enhance their growth. In the bid of doing this, the challenge faced by organizations is the lack of sufficiently skilled data analysts, who have the challenge of accessing several data from various sources amidst others. The availability of a well-detailed and practical guide for analysts to use will help to solve these challenges, help them navigate their path with data, and also become skilled analysts organizations seek. This exactly is what this guide is set to achieve as it is loaded with explanations and illustrations needed to become a sought-after analyst.
Microsoft Access, Excel and Power BI are combo of business analytics tool, that lets anyone connect to, visualize, and analyze data with greater speed, efficiency, and understanding. This guide is for business intelligence professionals, departmental representatives, management, data analysts, and anyone that wants to present data in a very precise way and create visuals without being stuck.
There’s no two-way about it, I assure you that at the end of using this guide, you will become a longed-for analyst.
All explanations are backed up with step-by-step illustrations to aid quick mastery; ensure you practice alongside reading this guide to get the best of it.
In this guide, you’ll get learn to use Microsoft Access to:

Optimize database design for efficiency
Create Tables to store data
Use templates and get a head start
Make queries to extract specific data
Produce intelligible Forms for data entry
Construct informative Reports quickly
Import and export data to Excel and Word
Securely share your well-designed database and reports
…and lots more

You’ll at the same time learn to use Power BI:

Understand the components and architecture of Power BI
Download and install Power BI desktop
Setup the Power BI environment yourself
Find your way around the interface, understand the features, and how to use them
Import data from various sources like web, Excel, SQL Server, Access Database, and others
Transform data from various sources using Power Query Editor
Create KPI visualization
Embed a Power BI report
Publish a report from Power BI Desktop to Power BI Service
Work with Dashboards in Power BI Services
Share dashboard with individuals or groups
Change a column graph into KPI
Pin data to dashboard
Rename data, create an additional column and remove unwanted columns
Join imported tables by merging queries
Connect files from your device to Power BI Service
Set a report as featured dashboard
Remove decimal and additional words from your table
… and a lot more

And finally, you’ll get to learn Excel advanced techniques for various analysis of diverse data to meet various needs, such as the use of Sparkline, sorting for arranging data, Filtering for isolating useful data in the list, Goal seek for getting variable of a particular result, conditional formatting for carrying out special order with the data set, using one and two input data for carrying out a special experiment on the data to derive other essential variables or elements.