HRDC Claimable Course

Data Analytics with Excel

Transform Data. Discover Insights. Make Better Decisions.

Course Synopsis

Data Analytics with Excel is designed to equip participants with practical data analytics skills using Microsoft Excel, enabling them to transform raw datasets into meaningful insights that support business decision-making.

Participants will learn how to clean and structure data, perform exploratory and analytical calculations, use PivotTables, identify trends and anomalies, and create effective data visualisations. The programme also develops participants’ ability to communicate findings clearly through analytical reports and practical business-focused analysis.

Learning Outcome

Upon completion of the programme, participants will be able to:

Demonstrate an understanding of data analytics concepts
Prepare and structure datasets for analysis
Apply analytical techniques using Microsoft Excel
Interpret data to identify insights, patterns, and trends
Create visualisations for effective communication
Produce analytical reports for business use

Course Topics

Introduction to Data Analytics

What data analytics is
Importance of data analytics in organisations
Descriptive analytics
Diagnostic analytics
Predictive analytics
Role of Excel in business analytics
Understanding datasets
Understanding variables and data structures

Data Cleaning & Preparation

Handling missing data
Managing inconsistent information
Removing duplicates
Correcting data errors
Data formatting
Structuring datasets
Data validation techniques
Introduction to Power Query
Preparing reliable datasets for analysis

Exploratory Data Analysis

Understanding data distributions
Summary analysis
Sorting and filtering
Using AVERAGE
Using MEDIAN
Using MIN and MAX
Identifying patterns
Detecting trends
Recognising anomalies

Advanced Analysis Techniques

Conditional calculations
SUMIFS
COUNTIFS
Logical analysis using IF statements
XLOOKUP
INDEX-MATCH
Scenario-based analysis
Applying formulas to practical business datasets

PivotTables for Data Analysis

Creating PivotTables
Structuring PivotTables
Grouping data
Summarising large datasets
Comparing categories
Identifying trends
Using PivotTable filters
Using slicers for interactive analysis

Data Visualisation & Insight Communication

Bar charts
Line charts
Pie charts
Combo charts
Selecting appropriate chart types
Highlighting important findings
Presenting patterns visually
Data storytelling techniques

Analytical Reporting

Structuring analytical reports
Identifying Key Performance Indicators
Selecting relevant measures
Presenting findings clearly
Combining tables, charts, and written insights
Turning analysis into actionable information

Case Study & Practical Application

End-to-end data analysis
Cleaning and analysing a practical dataset
Interpreting results
Drawing business conclusions
Presenting insights to stakeholders
Receiving feedback and refining analysis

How to Apply

Submit Your Application

Complete the application form and submit the required registration details to begin the admission process.

Receive Admission & Payment Details

Once approved, you’ll receive your admission confirmation along with the fee structure and payment guidance.

Begin Your Learning Journey

Start your classes and gain access to industry-focused learning experiences designed for career growth.