HRDF HRD Corp Claimable Microsoft Excel Data Analysis Training
100% HRDF / HRC Corp Claimable Microsoft Excel Data Analysis Training
12-13 December 2023 – 9am till 5pm
Face-to-Face Classroom
Prerequisites
Participation in this Data Analysis Training using MS Excel course is completely voluntary and not mandated in any way. Although it would be helpful for the delegates to have some prior experience with Microsoft Excel or at least a fundamental understanding of the programme,
Audience
Anyone who is interested in learning how to use Microsoft Excel for Data Analysis should consider enrolling in our Data Analysis Training using MS Excel course. It is appropriate for both beginners and advanced users.
Overview of the Data Analysis Training Course Using Microsoft Excel
The process of organizing, modeling, and reorganizing data in order to discover important information that assists in the making of business decisions is known as data analysis. The basic goal of data analysis is to extract meaningful information from the data that is provided and then base a decision on that meaningful information. Spreadsheet programs like Microsoft Excel, more frequently referred to as MS Excel, offer a broad variety of commands, functions, and tools to help save time and make the process of data analysis easier. Microsoft Excel is one such program. The process of data analysis is an essential part of both business intelligence (BI) and data mining. Analyzing and assessing a data set by employing analytical and logical reasoning is the process that is referred to as data analysis. Data analysis is widely employed in a wide variety of disciplines around the world by a large number of organizations for a variety of purposes. Any person’s professional development can benefit from having the skills to analyze data using Microsoft Excel, and having those talents can lead to a higher salary.
Participants in this 2-day training course on data analysis using Microsoft Excel will gain a full understanding of how to carry out data analysis activities using Microsoft Excel after completing the course. In this course, some of the topics that will be discussed include formula auditing, conditional formatting, lookup functions, and data cleansing. In addition to that, delegates will receive education on topics such as the visualization and validation of data, financial analysis, and other related topics. Our highly qualified and subject matter expert trainers are well knowledgeable in teaching Data Analysis and have sufficient experience in running this course to equip delegates with the desired skills for which they are looking.
What new information you will gain:
- Sorting and filtering data
- Changing the grouping of numerous worksheets at a time
- Formula auditing
- Procedures for calculating subtotals
- Principal characteristics of a PivotTable
Participants in this program will be able to utilize Microsoft Excel for Data Analysis in a way that is both proficient and effective by the time it is through. They will acquire a high level of expertise in utilizing the Excel functions and tools that are utilized for the purposes of data analysis. The method of data visualization in Excel and conducting financial analysis will also be taught to the delegates, who will become adept in these processes.
The Big Data Architecture Training, the Big Data, and Hadoop Solutions Architect Training, the Data Science Analytics Training, the Data Analytics with R Training, the Big Data Analysis Training, and many more courses from our Big Data and Analytics Training section are all available to delegates who want to learn Data Analysis using other tools and techniques. If this is the case, the delegates can choose to enroll in any of these courses to meet their needs and requirements.
Course Outline for Data Analysis Training Conducted Using Microsoft Excel
Module 1: An Introduction to Data Analysis
What is Data Analysis?
Why Data Analysis?
Different kinds of data analysis
The Process of Analyzing Data
Module 2: An Overview of Data Analysis Using Microsoft Excel Instructions on How to Analyze Data
Work with Range Names and Steps to Create Name Ranges is Covered in
Module 3: of the Course
How Can I Change the Name of the Range?
How Do I Delete the Name of the Range?
Use Name Range in Workbook
Module 4: will provide an introduction to tables
What exactly is the Table?
What exactly is the point of constructing a table?
Module 5: Cleaning the Data using Text Functions
Steps in the Data Cleaning Process Involving the Elimination of Unwanted Characters in Text
Module 6: Working with Date Formats and Time Formats
Instructions for Changing the Data Format
Instructions for Altering the Time Format
Module 7: Conditional Formatting
What exactly is conditional formatting, and how should it be utilized?
So That Conditional Formatting Can Be Applied to Text
Module 8: The Sorting and Filtering Module
What is meant by the terms “sorting” and “filtering”?
In order to sort a specific column, sorting must first be applied to two columns.
Methods for Arranging Dates
Instructions for Sorting Columns Based on Their Colors
For the Purpose of Filtering
Remove Filter and Apply Filter to Text Clear Filter
Module 9: Subtotals and a Quick Analysis Are Covered
Instructions for Using Subtotals Steps to Apply Subtotals
Quick Analysis
Instructions on How to Perform a Quick Analysis
Module 10: Investigating Lookup Functions
Excel’s VLookUp and HLookUp Functions are able to do the following:
Module 11: Working with Pivot Tables
Overview of the Pivot Table Characteristics of the Pivot Table
Putting together a pivot table
Pivot Table Fields
Pivot Table Areas Pivot Table Fields You Can: Add Data Fields in Pivot Table Remove Data Fields in Pivot Table
An Investigation Into The Data Sorting The Data Filtering The Data Manual Filter Nesting Report
Module 12: Data Visualisation and Validation
Data Validation Editing Data Validation Rules
You can copy the data validation from one cell to another using another data visualisation.
Module 13: Analysis of Financial Statements
Value at This Point in Time of a Number of Upcoming Payments
An Illustration of a Financial Analysis
Module 14: Multiple Sheets
Instructions for Adding a New Worksheet
Making a Copy of a Workbook
Change the name of a Worksheet.
Methods for Classifying the Worksheets
Methods to Separate the Worksheets from Their Groups
Module 15: Auditing Formulas, Display Formulas, Follow Precedents, Eliminate Arrows, and Follow Dependents
Evaluate Formula
