Microsoft Excel Data Analysis Essential (2-Day):

From Raw Data to Meaningful Business Insights

Duration: ~ 16 hours | Fee: PROMO🔥

Training Overview:

This 2-day comprehensive programme equips participants with in-depth Microsoft Excel data analysis skills to systematically transform raw business data into meaningful insights. Participants will learn how to clean and standardise data, build analysis-ready datasets using Power Query, perform structured analysis using PivotTables, and visualise results through PivotCharts and simple dashboards. The programme emphasises practical application through guided hands-on exercises and group-based analysis, enabling participants to apply analytical techniques, interpret results and communicate insights to support informed decision-making in service and manufacturing environments.

Training Outcome:

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

✔️ Clean and standardize raw business data to ensure accuracy and reliability for analysis

✔️ Build and manage analysis-ready datasets using Power Query for consistent and repeatable analysis

✔️ Perform structured data analysis using PivotTables to identify patterns, trends and key metrics

✔️ Apply data analysis techniques to analyze datasets and communicate insights through visual reports

✔️ Interpret analysis results to support discussion, recommendations and informed decision-making

DAY01

Module 1  

The ETL-AI Data Analysis Framework

1.1 Understanding the Data Analysis Process

1.2 Introduction to the ETL-AI Framework (Extract → Transform → Load → Analyse → Insights)

1.3 Pre-Test (Baseline Assessment)

Module 2

Applying ETL-AI to a Data Range (Sales Data Analysis)

2.1 Scenario Introduction and Analysis Objective

2.2 Extract, Transform and Load the Dataset

2.3 Analyse Results and Identify Business Insights

Module 3

Applying ETL-AI to a Workbook with Multiple Sheets (Sales Data Analysis) 

3.1 Scenario Introduction and Analysis Objective

3.2 Extract, Transform and Load the Dataset

3.3 Analyse Results and Identify Business Insights

Module 4

Turning Analysis into Interactive Reports (Inventory Data Analysis)

4.1 Scenario Introduction and Analysis Objective

4.2 Extract, Transform and Load the Dataset

4.3 Analyse Results and Identify Business Insights

DAY02

Module 5  

Applying ETL-AI to Multiple Workbooks in a folder (Purchasing Data Analysis)

5.1 Understanding the Data Analysis Process

5.2 Introduction to the ETL-AI Framework (Extract → Transform → Load → Analyse → Insights)

5.3 Pre-Test (Baseline Assessment)

Module 6

Applying ETL-AI to Multiple Workbooks in a folder (AR Data Analysis)

6.1 Scenario Introduction and Analysis Objective

6.2 Extract, Transform and Load the Dataset

6.3 Analyse Results and Identify Business Insights

Module 7

Turning Analysis into Interactive Reports

7.1 Scenario Introduction and Analysis Objective

7.2 Extract, Transform and Load the Dataset

7.3 Analyse Results and Identify Business Insights

Module 8

Module 08: Group Activity (HR Data Analysis)

8.1 Scenario Introduction and Analysis Objective

8.2 Extract, Transform and Load the Dataset

8.3 Analyse Results and Identify Business Insights