Excel In Data Analysis
About This Course
This course equips participants with essential data handling skills to support accurate and meaningful analysis. Learners will gain the ability to identify relevant raw data for specific purposes, validate data quality, and apply effective data cleaning techniques across diverse data sets. The program also emphasizes stakeholder engagement to ensure data insights are presented in clear, suitable formats that meet organizational needs. It is suitable for administrators, sales staff, customer service officers, finance executives, operations coordinators, HR specialists, and other professionals who use Excel for data analysis in their work.
What You'll Learn
- determine data requirements for the stated purpose
- understand types of data
- identify sources of data
- consider impact of organisational constraints
Validate data to ensure that it is suitable for analysis
- identify types of data that are stored in data systems
- create spreadsheets to verify data
- use of Excel tools: data tables, pivot tables, concatenate etc
Use data cleaning techniques
- types of data cleaning techniques
- identify patterns, trends, correlations, and variations
- determine sample sizes for appropriateness
Engage stakeholders for presentation of data
- engage stakeholders
- understand limitations of data analysis
- determine format for presenting data
Entry Requirements
able to speak, read, and write at a English proficiency level of ES WPLN L3 or equivalent
attitudes that include: a sense of responsibility, able to support and add value to business operation, being passionate in performing work activities
minimum education level: GCE 'N' Level
IT skills: basic knowledge of MS Excel