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Learn Excel : Data analysis with Microsoft Excel icon

Learn Excel : Data analysis with Microsoft Excel

2.7 for Android

The description of Learn Excel : Data analysis with Microsoft Excel

Need help using Microsoft Excel? This app Microsoft Excel category has you covered. Learn everything you need to know about how to make and manipulate spreadsheets and graphs. Our step-by-step articles can walk you through topics like unprotecting an Excel sheet, copying formulas in Excel, creating a line graph in Excel, and more.

Overview

Microsoft Excel is one of the most widely used tools for data analysis
Learn the essential Excel functions used to analyze data for business analytics
Data Analysis with Excel serves as a precursor to Data Science with R or Python
Excel Tutorials That Prove No-One Is Too Stupid To Master Spreadsheets

Teach yourself Excel basics, functions, and advanced formulas using these Microsoft Excel is used in all types of industries and professions. If you go to business school you should expect to at least have two or three Excel-specific classes, along with a wide range of other classes that utilize Excel as a tool.

The quick way to learn Microsoft Excel 2016!

This is learning made easy. Get more done quickly with Excel 2016. Jump in wherever you need answers--brisk lessons and full-color screen shots show you exactly what to do, step by step.

Quickly set up workbooks, enter data, and format it for easier viewing
Perform calculations and find and correct errors
Filter, sort, summarize, and combine data
Analyze data by using PivotTables, PivotCharts, scenarios, data tables, and Solver
Visualize data with charts and graphs, including new sunbursts, waterfalls, and treemaps
Build data models and use them in business intelligence analyses
Create timelines, forecasts, and visualizations, including KPIs and PowerMap data maps
Look up just the tasks and lessons you need

This popular app shows students and professionals how to do data analysis with Microsoft Excel. DATA ANALYSIS WITH MICROSOFT EXCEL teaches students and professionals the fundamental concepts of statistics and how to use Microsoft Excel to solve the kind of data-intensive problems that arise in business and elsewhere. Even students with no previous experience using spreadsheets will find that this text's step-by-step approach, extensive tutorials, and examples make it easy to learn how to use Excel for analyzing data.

Excel Data Analysis: Your visual blueprint for creating and analyzing data, charts and PivotTables
Advanced techniques for Excel power users

Crunch and analyze Excel data the way the professionals do with this clean, uncluttered, visual guide to advanced Excel techniques. Using numerous screenshots and easy-to-follow numbered steps, this book clearly shows you how to perform professional-level modeling, charting, data access, data slicing, and other functions. You'll find super techniques for getting the most out of Excel's statistical and financial functions, Excel PivotTables and PivotCharts, Excel Solver, and more.

Provides a clear look at power-using Excel, the world's leading spreadsheet application from Microsoft, and part of the new Microsoft Office 2016 suite
Expands your Excel knowledge and helps you use Excel data more efficiently
Demonstrates how to retrieve data from databases;; cut, slice, and pivot data using PivotTables; model data and chart data; and use advanced formulas
Explores all features and functions in friendly, two-color pages packed with screenshots, numbered steps, and other visual graphics that clearly show you how to accomplish tasks
Includes practical examples, tips, and advice to help you get the most out of Excel's features and functions

Data analysis with Excel is a complete tutorial that provides a good perception into the latest and advanced functions available in Microsoft Excel. It explains in detail how to perform various data analysis functions using the functions to be had in MS-Excel. The tutorial has plenty of screenshots that explain how to use a selected feature, in a step-through-step manner.
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