Data Analysis using MS Excel
- This workshop teaches participants how to use Microsoft Excel for data analysis across descriptive, statistical, and predictive techniques.
- It is designed for professionals and analysts who work with operational or performance data and want to improve their data handling and reporting skills.
- Attendees will gain practical skills in Excel tools to support business decision-making with real-world datasets.
About this event
This training program positions Microsoft Excel as a practical and powerful data analysis tool for business and operational decision-making. Participants progress from understanding the data analytics process to performing descriptive, statistical, and predictive analysis using built-in Excel tools such as PivotTables, Power Query, Power Pivot, Analysis Toolpak, What-If Analysis, and forecasting functions. The course emphasizes hands-on analysis , proper interpretation of results, and confidence in handling real-world datasets across multiple Excel versions.
Excel 2007, Excel 2010, Excel 2013, Excel 2016, Excel 2019, Office 365, Microsoft 365
By the end of this training, participants will be able to:
Understand the end-to-end data analytics process and distinguish between descriptive, statistical, and predictive analytics
Analyze and summarize large datasets efficiently using advanced PivotTable techniques
Prepare and model data using Power Query and Power Pivot for scalable analysis
Perform statistical analysis using Excel’s Analysis Toolpak and interpret results correctly
Apply forecasting and predictive techniques to identify trends, relationships, and future outcomes
Present analytical results clearly to support business decisions
Who This Course Is For
Professionals involved in reporting, analysis, and decision support
Analysts, supervisors, and managers working with operational or performance data
Excel users who want to move beyond formulas into structured analytics
Teams preparing for advanced reporting, forecasting, or dashboard development
Methodologies
Hands-on analytical exercises using realistic datasets to reinforce concepts in PivotTables, statistics, and forecasting.
Guided interpretation and validation sessions to ensure participants understand results, assumptions, and limitations of each analytical method.
INCLUSIONS
F or onsite:
printed handout
printed certificate
AM and PM snacks
fastfood lunch
candies and coffee
WIFI access
Bring own lapto