MO-200: Microsoft Excel, Data Analysis & Dashboard Reporting Using Excel

Categories: Data Analysis, Microsoft

About Course

Course Objectives

 

  • Import and manage data from different sources into Excel workbooks.

  • Format worksheets and organize data effectively.

  • Use formulas and functions for data calculations and analysis.

  • Apply conditional formatting and visualization techniques.

  • Create and manage tables, charts, and interactive dashboards.

  • Perform advanced data analysis using Excel tools such as PivotTables, Power Query, and Power Pivot.

  • Transform and model data for reporting and business insights.

  • Build dynamic dashboards to present analytical results clearly.

Course Outline 

 

Module 1: Working with Workbooks and Data

  • Import data from text and CSV files

  • Navigate within workbooks

  • Search and locate data

  • Insert and manage hyperlinks

Module 2: Formatting Worksheets and Workbooks

  • Adjust row height and column width

  • Modify page setup

  • Customize headers and footers

  • Modify workbook views and properties

Module 3: Managing and Formatting Data

  • Insert and delete rows, columns, and cells

  • Apply number formats and cell styles

  • Merge and align cells

  • Use Format Painter and wrap text

Module 4: Working with Tables

  • Create Excel tables

  • Apply table styles

  • Add or remove rows and columns

  • Configure total rows

Module 5: Sorting and Filtering Data

  • Filter records

  • Sort data by multiple columns

Module 6: Working with Formulas and Functions

  • Use relative, absolute, and mixed references

  • Perform calculations using SUM, AVERAGE, MAX, MIN

  • Use COUNT, COUNTA, and COUNTBLANK

  • Apply logical functions such as IF

Module 7: Text Functions

  • Use LEFT, RIGHT, MID functions

  • Apply UPPER, LOWER, LEN

  • Combine text using CONCAT and TEXTJOIN

Module 8: Data Visualization

  • Insert Sparklines

  • Apply conditional formatting

  • Summarize data visually

Module 9: Creating and Formatting Charts

  • Create charts and chart sheets

  • Modify chart elements

  • Apply chart styles and layouts

Module 10: Introduction to Data Analytics

  • Data cleaning techniques

  • Data analytics project phases

  • Qualitative and quantitative analysis

Module 11: Advanced Functions for Data Analysis

  • Logical functions (IF, AND, OR, IFERROR)

  • Date functions (EOMONTH, EDATE, TODAY)

  • Lookup functions (VLOOKUP, HLOOKUP, XLOOKUP)

  • Advanced functions (INDEX, MATCH, OFFSET, CHOOSE)

Module 12: Advanced Excel Data Analysis Tools

  • Data validation and drop-down lists

  • What-if analysis (Goal Seek, Scenario Manager, Data Tables)

  • Working with large datasets

Module 13: Data Modeling with Power Query

  • Import data from external sources

  • Transform and clean data

  • Merge and append queries

  • Load data to pivot tables

Module 14: PivotTables and Power Pivot

  • Creating PivotTables

  • Adding filters, rows, columns, and values

  • Using calculated fields

  • Analyzing data with PivotTables

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Our engagement with EgyptAir focused on enabling the effective use of application development technologies alongside the adoption of cybersecurity and secure computing practices within operational environments. Participants worked with Microsoft-based development platforms and programming technologies while gaining practical exposure to secure application usage, access control mechanisms, and threat-aware system interaction. This integrated technology enablement supported more secure digital operations, improved system reliability, and reinforced cyber resilience across aviation technology environments.

Banque Misr

We collaborated with Banque Misr to enable integrated enterprise technology capabilities across multiple domains. The engagement supported effective utilization of IT infrastructure environments, data analytics platforms, and professional capability development frameworks, allowing teams to operate confidently within complex enterprise systems. Our delivery approach focused on practical technology adoption, operational alignment, and building sustainable competencies that support reliable banking services and informed, data-driven decision-making.

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