Excel for Data Analysis
Excel for data analysis entails the practice of organizing, analyzing, and visualizing data using Microsoft Excel provisions like spreadsheets,formulas, and charts to support better decision-making.
Fee: ₦60k ₦30k
Course Objective
This program aims to develop learners’ ability to organize, analyze, and interpret data using Microsoft Excel. Participants will learn how to work with formulas, charts, and datasets to support informed decision-making.
Duration
4 Weeks
Course Outline
Introduction to Excel and Spreadsheets
Understanding the Excel interface, workbooks, and worksheets
Basic navigation, data entry, and formatting
Working with Formulas and Functions
Using basic and intermediate formulas (SUM, AVERAGE, IF, VLOOKUP)
Understanding cell references, ranges, and calculations
Data Organization and Management
Sorting, filtering, and grouping data
Using tables, named ranges, and data validation
Data Visualization with Charts and Graphs
Creating and customizing charts for analysis
Using conditional formatting to highlight insights
Analyzing and Presenting Data
Using PivotTables and PivotCharts for summaries
Preparing reports and dashboards for decision-making
Target Students / Requirements
Target Students
- Beginners who want to start a career in Data Analysis.
- Tech enthusiasts or entrepreneurs looking to understand how data works
- Students or professionals aiming to develop data analysis skills.
Requirements
Basic computer and internet skills.
Willingness to learn and practice coding consistently.
No prior programming or development experience required.
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