Skip to main content

Mac Numbers: Creating and Using Spreadsheets On Your Mac

Mac Numbers: Creating and Using Spreadsheets On Your Mac


Build spreadsheets, perform calculations, create charts and design forms with practical examples



What Will I Learn?

  • Create single and multi-table spreadsheets in Numbers

  • Use formulas to perform calculations

  • Create simple lists of records as spreadsheets

  • Create charts from spreadsheet data

  • Manipulate spreadsheet elements to create forms and data sheets

  • Use logical function in spreadsheets

  • Export and share spreadsheets

Requirements


  • Students should have a basic familiarity with using Macs, including the mouse, keyboard, drag-and-drop, and managing files. They should have Numbers 3.6 or newer installed on their Mac from the Mac App Store.


 
Description

Mac Numbers is a complete course with 36 lessons and 11 practical examples taking you from beginner to advanced level. It includes three and a half hours of video tutorials and 11 example files.

This course starts at the beginning, teaching you the basics such as creating a new document, starting with the blank template, entering numbers and performing basic calculations. You’ll then move on to create multi-table spreadsheets, perform advanced calculations, sort and filter data, create charts and more.

Whether you need to use Numbers for work, school, or a project at home, this course can get you up to speed fast. It does not assume that you have previous spreadsheet experience. However, if you have used an application like Excel in the past, you can also use this course to quickly learn the ins-and-outs of Numbers.

 
Who is the target audience?

  • This course will teach you the basics and many advanced techniques for creating and using spreadsheets with Numbers on your Mac. If you want to use Numbers at home or work but have no previous spreadsheet experience, this course starts at the beginning. If you have used other spreadsheet apps like Excel, this could can help you switch to Numbers.


 

[button link="https://click.linksynergy.com/deeplink?id=LTDmoZU*IG0&mid=39197&u1=onlinecourses&murl=https%3A%2F%2Fwww.udemy.com%2Fmac-numbers%2F" type="big" newwindow="yes"] Enroll Now[/button]

Comments

Post a Comment

Popular posts from this blog

Oracle DBA 11g/12c - Database Administration for Junior DBA

Oracle DBA 11g/12c - Database Administration for Junior DBA Learn to become an Oracle Database Administrator (DBA) in 6 weeks and get a well paid job as a Junior DBA What Will I Learn? Final Goal: Get a job as an Oracle Database Administrator (Oracle DBA) As a Oracle Database Administrator (Oracle DBA), you would be able understand the Database Architecture, which will help you to perform your DBA duties with better understanding. As a Oracle Database Administrator (Oracle DBA), you would be able to Install the necessary Oracle Software/Database As a Oracle Database Administrator (Oracle DBA), you would be able to Administer User accounts in the Database As a Oracle Database Administrator (Oracle DBA), you would be able to Manage Tablespace's to provide required space for the data As a Oracle Database Administrator (Oracle DBA), you would be able perform Backup and Recovery as needed. As a Oracle Database Administrator (Oracle DBA), you would be able to diagnose ...
1 comment
Read more

Data Science, Deep Learning, & Machine Learning with Python

Deep Learning, Data Science, & Machine Learning with Python Go hands-on with the latest neural network, artificial intelligence,deep learning and data science techniques employers are seeking! What Will I Learn? Develop using iPython notebooks Understand statistical measures such as standard deviation Visualize data distributions, probability mass functions, and probability density functions Visualize data with matplotlib Use covariance and correlation metrics Apply conditional probability for finding correlated features Use Bayes' Theorem to identify false positives Make predictions using linear regression, polynomial regression, and multivariate regression Understand complex multi-level models Use train/test and K-Fold cross validation to choose the right model Build a spam classifier using Naive Bayes Use decision trees to predict hiring decisions Cluster data using K-Means clustering and Support Vector Machines (SVM) Build a movie r...
1 comment
Read more

GraphQL with React: The Complete Developers Guide

GraphQL with React: The Complete GraphQL Developers Guide Learn and master GraphQL by building real web apps with React and Node   What Will I Learn? Build amazing single page applications with React JS and GraphQL Master fundamental concepts behind structuring GraphQL servers Realize the power of building flexible data schemas Be the engineer who explains how GraphQL works to everyone else, because you know the fundamentals so well Become fluent in the ecosystem supporting GraphQL, including the differences between Apollo and Relay   Requirements Familiarity with React   Description Note: This course assumes you are familiar with React ! If you're tired of spinning your wheels trying to figure out what type of backend server to use, this is the course for you. Authentication?  You will learn it.   Apollo Data?  Included.   Integration with React?  Of course! This GraphQL Developers Guide will get you up and running with GraphQL q...
Post a Comment
Read more