Format: Live instructor-led online training via Zoom / Microsoft Teams

Advanced Microsoft Excel and Automation Training Course

Course Introduction

The Advanced Microsoft Excel and Automation Training Course is an intensive professional development program designed to equip participants with advanced spreadsheet management, business analytics, data automation, reporting, and decision-support skills using Microsoft Excel and automation technologies. In today's data-driven business environment, organizations increasingly rely on advanced Excel capabilities for financial analysis, performance monitoring, business intelligence, forecasting, dashboard development, and workflow automation. This course provides participants with practical expertise in leveraging advanced Excel tools and automation techniques to improve productivity, enhance analytical capabilities, and support organizational digital transformation initiatives.

The course covers advanced Microsoft Excel functionalities, including complex formulas and functions, data management techniques, PivotTables, Power Query, Power Pivot, dashboards, business intelligence reporting, Visual Basic for Applications (VBA), macros, and process automation techniques. Participants gain practical experience in designing dynamic reports, automating repetitive tasks, developing interactive dashboards, analyzing large datasets, and creating customized solutions that enhance operational efficiency and strategic decision-making. The training emphasizes practical application, real-world business scenarios, and hands-on learning experiences.

As organizations generate increasing volumes of data, there is a growing need for professionals who can transform data into actionable insights and automate routine business processes. This course integrates advanced analytics, automation strategies, business process optimization, digital productivity tools, and data visualization methodologies to enable participants to become highly proficient in using Microsoft Excel as a strategic business intelligence and automation platform. Participants will learn techniques that improve reporting accuracy, reduce manual work, and increase organizational efficiency.

Through interactive workshops, practical exercises, simulations, case studies, and collaborative learning activities, participants will acquire advanced technical competencies and analytical skills required to address complex business challenges. Upon completion, participants will be able to design automated solutions, create powerful analytical models, build interactive dashboards, improve reporting processes, and contribute effectively to organizational performance, innovation, and data-driven decision-making initiatives.

Course Objectives

Upon successful completion of this course, participants will be able to:

1.     Master advanced Microsoft Excel functions and formulas.

2.     Analyze and manage large datasets effectively.

3.     Create dynamic reports and interactive dashboards.

4.     Utilize PivotTables and PivotCharts for business analytics.

5.     Apply Power Query and Power Pivot for data transformation and modeling.

6.     Develop automation solutions using macros and VBA programming.

7.     Design data visualization and business intelligence reports.

8.     Automate repetitive business processes and workflows.

9.     Improve data accuracy, efficiency, and reporting capabilities.

10.  Support evidence-based decision-making through advanced data analytics and automation techniques.

Organizational Benefits

Organizations that invest in this training will benefit by:

1.     Improving operational efficiency through process automation.

2.     Reducing manual errors in data processing and reporting.

3.     Enhancing analytical and business intelligence capabilities.

4.     Increasing employee productivity and data management skills.

5.     Improving decision-making through accurate reporting and analytics.

6.     Accelerating financial analysis and forecasting processes.

7.     Enhancing performance monitoring and KPI tracking systems.

8.     Supporting digital transformation and innovation initiatives.

9.     Maximizing the value of organizational data assets.

10.  Building a highly skilled workforce capable of managing complex data environments.

Target Participants

This course is suitable for:

·       Finance and accounting professionals

·       Data analysts and business intelligence specialists

·       Monitoring and evaluation professionals

·       Project managers and coordinators

·       Administrative and operations officers

·       Human resource professionals

·       Researchers and statisticians

·       Information management specialists

·       Government and public sector employees

·       Entrepreneurs and business executives

·       Monitoring and reporting officers

·       Professionals seeking advanced Excel and automation competencies

Course Outline

Module 1: Advanced Microsoft Excel Environment and Productivity Tools

·       Advanced workbook and worksheet management

·       Customizing the Excel environment

·       Advanced formatting techniques

·       Managing large workbooks efficiently

·       Productivity shortcuts and navigation techniques

·       Introduction to automation concepts in Excel

General Case Study: Optimizing large organizational workbooks for efficient reporting.

Module 2: Advanced Formulas and Functions

·       Logical functions and nested formulas

·       Lookup and reference functions

·       Text manipulation functions

·       Date and time functions

·       Statistical and mathematical functions

·       Dynamic array formulas and advanced calculations

General Case Study: Automating employee performance calculations using advanced formulas.

Module 3: Data Management and Cleaning Techniques

·       Importing and organizing data

·       Data validation and integrity management

·       Removing duplicates and correcting inconsistencies

·       Text-to-columns and data transformation techniques

·       Conditional formatting for data analysis

·       Advanced sorting and filtering methods

General Case Study: Cleaning and preparing operational datasets for management reporting.

Module 4: PivotTables and PivotCharts

·       Creating PivotTables from large datasets

·       Grouping and summarizing information

·       Designing PivotCharts and visual reports

·       Slicers and timeline controls

·       Calculated fields and advanced analysis

·       Interactive reporting techniques

General Case Study: Developing sales performance dashboards using PivotTables and PivotCharts.

Module 5: Dashboard Development and Data Visualization

·       Principles of dashboard design

·       Creating key performance indicator dashboards

·       Using charts and sparklines effectively

·       Dynamic dashboards using form controls

·       Interactive reporting techniques

·       Dashboard optimization and sharing

General Case Study: Designing executive dashboards for organizational performance monitoring.

Module 6: Power Query for Data Transformation

·       Introduction to Power Query

·       Connecting to multiple data sources

·       Data extraction and transformation techniques

·       Data merging and appending

·       Query automation and refresh management

·       Preparing analytical datasets

General Case Study: Integrating and transforming data from multiple departmental systems.

Module 7: Power Pivot and Data Modeling

·       Introduction to data modeling concepts

·       Creating relationships between datasets

·       Building analytical data models

·       Calculated columns and measures

·       Introduction to DAX functions

·       Developing advanced business intelligence reports

General Case Study: Building integrated financial reporting models using Power Pivot.

Module 8: Business Analytics and Forecasting

·       Descriptive and predictive analysis techniques

·       Trend and variance analysis

·       Scenario analysis and forecasting tools

·       What-If analysis techniques

·       Goal Seek and Solver applications

·       Statistical reporting methods

General Case Study: Developing financial forecasting models for strategic planning.

Module 9: Introduction to Macros and Automation

·       Recording and running macros

·       Macro security and management

·       Editing macro code

·       Assigning macros to controls

·       Automating repetitive tasks

·       Managing automated workflows

General Case Study: Automating monthly management reporting processes.

Module 10: Visual Basic for Applications (VBA)

·       Introduction to VBA programming concepts

·       VBA editor and programming environment

·       Variables and control structures

·       Writing procedures and functions

·       User forms and interactive applications

·       Error handling and debugging techniques

General Case Study: Developing custom Excel applications using VBA.

Module 11: Process Automation and Workflow Optimization

·       Identifying automation opportunities

·       Designing automated business processes

·       Automating data entry and reporting

·       Developing workflow solutions

·       Integration with Microsoft Office applications

·       Monitoring automated systems

General Case Study: Automating operational reporting workflows across departments.

Module 12: Advanced Reporting and Business Intelligence Solutions

·       Designing executive reporting frameworks

·       Creating automated management dashboards

·       Developing analytical scorecards

·       Reporting best practices and standards

·       Presentation and communication of analytical findings

·       Developing Excel-based business intelligence solutions

General Case Study: Creating an integrated business intelligence reporting system for organizational performance management.

General Information

1.     Customized Training: All our courses can be tailored to meet the specific needs of participants.

2.     Language Proficiency: Participants should have a good command of the English language.

3.     Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.

4.     Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).

5.     Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.

6.     Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.

7.     Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.

8.     Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.

9.     Equipment: Tablets and laptops can be provided to participants at an additional cost.

10.  Post-Training Support: We offer one year of free consultation and coaching after the course.

11.  Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.

12.  Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.

13.  Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.

14.  Website: Visit our website at www.fdc-k.org for more information.