Software Application

Introduction to Microsoft Excel

microsoft-excel-training

What you can expect to learn 

Participants will learn an insight overview of how Microsoft Excel can be used to gather, analyse, summarize, and report data that we come across in our daily work. It also involves building analytical models to help the organisation increase profits, reduce costs, or manage operations more efficiently. Heavy emphasis is placed on mastering Microsoft Excel, especially the various categories of functions (i.e. financial, statistical, informational, logical, database, and lookup) and other built-in features. Practical examples are shown and taught to comprehend crucial skills to be more productive in decision making processes using spreadsheets. It also aims to align business missions into categorical data to perform number crunching techniques and interpreting these results. This eventually produces a higher level of competence in grasping business intelligence.

Why Microsoft Excel ?

The most Commonly used Spreadsheet in the market
Highly user friendly ( easy to learn and apply )
Improves decision making process when one is able to master the numerous built-in functions and features
Create visual impact with the dynamic charts linked to the data.
Helps prepare and create business intelligence solutions for financial and data analysis

Objectives

Mapping business model to the logical flow of business decision making
Simplifying excel functions and features for business decision making
Interpreting results of functions and features for business decision making
Consistency in the way employees from different departments approach problems

Learning outcome:

By participating in the appropriate Microsoft excel program, participants will be able to:
Apply cost reduction strategies
Perform financial analysis
Extract information from a database
Create complex charts for presentation
Master built-in function and features
Generally increase their productivity level

Participants / Target Audience:

Sales / Marketing Personnel
HR / Admin Personnel
Finance Personnel
Data Analysts and Frequent Excel Users
Production / Operations Personnel