
In this part of the course there would be a brief introduction of the trainer i.e. me and you would also get to know what you would be able to learn by the end of this course.
I have also shared with you the list of files required for practicing the examples (in the resources section) which you should download on your computer as you would be requiring them to learn the concepts in this training.
After completing this Lecture students would be able to Autofill data for repeated tasks and would also be able to create their own custom lists and also sort data with this created custom list. This lecture would also create an impetus among the student to think about how he can apply this studied module in his or her line of business.
By the end of this Lecture the students would be able to understand what is Data Validation and apply it skillfully to their examples.
By the end of this lecture the students would be able to understand and effectively use the PMT function.
By the end of this Lecture students would be able to understand and use Data Tables effectively.
By the end of this Lecture students would be able to effectively understand and use Scenario Manager in their Line of Business.
By the end of this Lecture, students would understand what is Goal Seek and how to utilize it effectively.
By the end of this Lecture students would be able to search and extract data effectively vertically and horizontally, using the vlookup and Hlookup functions of Excel.
By the end of this Lecture students would be able to understand the difference between Exact vlookup and Approximate vlookup.
By the end of this lecture students would be able to understand why we have to use multiple vlookup and how we can utilise it for effectively search data from multiple databases
By the end of this session, students would be able to identify the importance of checking for duplicates before sending any report and will also learn how to delete duplicate entries.
By the end of this Lecture students would be able to understand and use Data Subtotals effectively.
By the end of this lecture students would be able to Consolidate Data effectively between two or more sheets.
By the end of this Lecture students would be able to create different types of Pivot Tables and apply similar examples to their Line of Business.
By the end of this Lecture students would be able to create a Datewise Pivot.
At the end of this Lecture students would be able to create Count of Account types Pivot.
By the end of this Lecture, students would be able to create bucketed Pivot Tables.
By the end of this Lecture students would be able to create a Report with Conditional Formatting.
By the end of this Lecture students would be able to create graphs using Pivot Tables.
By the end of this Lecture students would be able to understand the difference between - count(), counta(), countif() and countifs() function.
By the end of this lecture students would understand the difference between sum(), sumif() and sumifs() functions of Excel.
By the end of this Lecture students would be able to record and run a Macro.
By the end of this lecture students would be able to do Mail Merge independently.
This course will give you a deep understanding of the advanced formulas and functions that transform Excel from a basic spreadsheet program into a dynamic and powerful analytics tool. While most Excel courses focus on simply what each formula does, I would teach you on how to apply the formula and understand its business and analytical application as well.
By the end of the course you'll be writing robust, elegant formulas and functions which would help you to analyze data by allowing you to:
Understanding basics:
AutoFill a Series
Creating a Custom List
Data Tools
Data Validation
Drop-Down Lists
Text to Columns
pmt
Goal Seek
Scenario Manager
Data Table
Vlookup
hlookup
Importing and Exporting Data
Identifying and deleting duplicates
Outline, Sort, Filter and Subtotal
Introduction
Group and Ungroup and subtotals
Subtotals
Consolidate
Pivot Tables
Introduction
Creating Pivot Tables
Choosing Fields
Pivot Table Layout
Filtering Pivot Tables
Modifying Pivot Tables Data
Pivot Charts
Special Functions
Count / Counta / Countif / Countifs
Sum /sumif / sumifs
Macros
Mail merge