Excel VBA Introduction- Data Analytics Series1
You will learn complete VBA Introduction here from scratch
4.78 (18 reviews)
401
students
6 hours
content
Oct 2021
last update
$54.99
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What you will learn
First step towards learning Excel VBA - Macro recordings, fundamentals, Range commands, why variables,types variables, cal keyword, interview related question
Great start for beginers
What is VBA and why it is required in Excel.
Introduction to Macro Editor. How to record, save and Edit a macro. Step by step in detail
How to work with Range , cells and data copy commands. Why you don't have to remember them.
Work with Sheets and data copy in this very first introduction and see the power of Macro Editors.
Limitations of Macro Editor and Advantages of macro editor. How to use them in your favor always.
Mini project on Data compile. How to copy data from different sheets and paste into one sheet with no hand written code.
Get the last row and how to select tables - Static and Dynamic methods. Which one to use and when to use it.
Different ways to run a macro. For users as well as developers.
Introduction to Variables. Its data types like string, long, byte, single, double and variant.
Why do we need data types and difference between these data types.
How to know the problem when error comes like Overflow, Type mismatch , Subscript out of range.
Scope of a variable- Public , Module level and local variables - in full detail using Call Keyword
Assignments on introduction to macro plus Variables is also shared with you. It has solutions as well.
What is an Option Explicit. How to activate it and is it required always?
What is type mismatch , subscript out of range and overflow erros in vba - Cause and solutions
Questions you may expect in your interview regarding Variable and Error messages. Full on preparation in the course itself.
A practical project for you showing the use of range commands and macro recordings. How to compile the data from multiple sheets and paste into one sheet.
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1612222
udemy ID
3/23/2018
course created date
2/8/2020
course indexed date
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