Data Management, Manipulation and Analysis Using Excel

This DIXONTECH course is designed to build strong professional skills in data management, manipulation, and analysis using Microsoft Excel. Participants learn how to clean, organize, analyze, and visualize data efficiently with advanced Excel tools. The training covers essential formulas, pivot tables, data models, and automation techniques to enhance analytical capability and support business decision-making.

TRAINING TOPICS:

• Data Management and Organization in Excel

• Data Cleaning and Transformation Techniques

• Data Analysis with Advanced Formulas and Functions

• Pivot Tables, Charts, and Dashboards

• Automation, Macros, and Data Reporting

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

By the end of this DIXONTECH training, participants will:

• Manage and structure large data sets effectively

• Clean and transform raw data for analysis

• Use advanced Excel formulas for decision support

• Create dynamic dashboards and pivot reports

• Automate data tasks using macros and functions

• Visualize and communicate insights professionally

• Apply Excel analytics to real-world business cases

TRAINING IS TAILORED TO:

This course is designed for:

• Data analysts and business professionals

• Financial and operations managers

• Project and HR coordinators

• Marketing and planning officers

• Researchers and data specialists

• Administrative and reporting staff

• Anyone seeking to improve Excel data skills

TRAINING METHODOLOGY:

DIXONTECH applies a learning-by-doing approach using practical exercises, real-world datasets, and interactive examples. Participants work on hands-on projects to apply data manipulation, visualization, and analysis techniques in Excel. The training emphasizes precision, productivity, and professional reporting aligned with global data management standards.

DAY 1: Data Management and Organization in Excel

• Understanding Excel as a data management tool

• Structuring and formatting large datasets

• Creating and maintaining Excel databases

• Data validation and consistency checks

• Using filters, sorting, and conditional formatting

• Protecting and securing data sheets

• Case study: creating a structured data workbook

DAY 2: Data Cleaning and Transformation Techniques

• Identifying and correcting data errors

• Removing duplicates and handling missing data

• Text functions for data cleaning (LEFT, MID, TRIM)

• Using Flash Fill and Text-to-Columns

• Applying Find, Replace, and Advanced Filters

• Data transformation using Power Query

• Practical lab: cleaning messy business data

DAY 3: Data Analysis with Advanced Formulas and Functions

• Using logical and lookup functions (IF, VLOOKUP, XLOOKUP)

• Applying statistical functions for analysis

• Conditional aggregation (SUMIFS, COUNTIFS, AVERAGEIFS)

• Data analysis using dynamic arrays and tables

• Scenario and what-if analysis tools

• Using Excel Solver and Data Analysis Toolpak

• Workshop: performing business data analysis

DAY 4: Pivot Tables, Charts, and Dashboards

• Creating and customizing pivot tables

• Building pivot charts and data slicers

• Combining multiple data sources in a pivot model

• Designing interactive dashboards and KPI reports

• Using sparklines and mini-charts for insights

• Formatting visuals for professional presentation

• Project: creating a management dashboard

DAY 5: Automation, Macros, and Data Reporting

• Introduction to automation and VBA in Excel

• Recording and editing simple macros

• Automating repetitive data processes

• Dynamic reporting with Excel templates

• Data export and report distribution methods

• Integrating Excel with Power BI and databases

• Final project: automated data analysis and reporting