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Data & AI · Analysis, automation and management dashboards

Excel Advanced

Master advanced formulas, lookup functions, PivotTables, Power Query, charts, data cleaning, and management dashboards for practical business reporting.

Move from spreadsheet fundamentals to a complete management dashboard with cleaned data, calculated metrics, interactive visuals, and clear insights.

Intermediate 5 Weeks 10 Modules Online / Classroom Management Dashboard Project
Explore curriculum → View capstone project

Course overview

Excel is widely used for data entry, analysis, reporting, and decision support. Advanced Excel skills help learners organize data, automate repetitive work, analyze trends, and communicate results through dashboards.

This course covers structured tables, advanced formulas, lookup functions, conditional logic, PivotTables, Power Query, charts, slicers, dashboards, and reporting best practices.

The proposed capstone is a Management Dashboard that transforms a sample business dataset into an interactive, presentation-ready report with key metrics and insights.

A useful Excel dashboard is not only visually attractive. It should use clean data, meaningful metrics, clear visuals, and insights that support a business decision.

Prerequisites

This course is designed for learners with basic computer and spreadsheet familiarity.

  • Basic computer knowledge.
  • Comfort using files, folders, and web browsers.
  • Basic Excel familiarity is recommended.
  • Understanding of rows, columns, cells, and formulas.
  • No programming experience is required.
  • No prior dashboard experience is required.

Readiness activity

Open a sample sales table. Identify three useful questions a manager might ask, such as total revenue, best-selling product, or monthly performance trend.

Who can explore this course?

Excel users

Improve spreadsheet skills

Learn advanced formulas, PivotTables, Power Query, and reporting techniques.

Students

Build practical skills

Practice analyzing data and presenting insights through guided dashboard activities.

Working professionals

Create business reports

Turn operational data into clear summaries, trends, and management-ready visuals.

Career changers

Explore reporting roles

Develop a portfolio dashboard and understand common MIS and reporting workflows.

What you will learn

  • Organize data using Excel Tables and structured references.
  • Use advanced formulas and nested conditional logic.
  • Use lookup functions such as XLOOKUP and VLOOKUP concepts.
  • Clean and transform data using Power Query.
  • Combine data from multiple sources.
  • Build and customize PivotTables and PivotCharts.
  • Use slicers, timelines, and interactive filters.
  • Create clear charts and visual reports.
  • Apply conditional formatting for insights.
  • Use data-validation and error-handling techniques.
  • Build a management dashboard with KPIs and visuals.
  • Document workbook structure and dashboard insights.

Curriculum outline

The ten-module outline moves from Excel fundamentals to a complete Management Dashboard. Exact Excel version, sample datasets, and assessment requirements should be confirmed before delivery.

01

Advanced Excel fundamentals

Review essential spreadsheet concepts and learn how to structure data for reliable analysis.

  • Workbook, worksheet, cells, and ranges.
  • Excel Tables and structured references.
  • Data types and formatting.
  • Sorting, filtering, and searching.
  • Named ranges and workbook organization.
  • Good spreadsheet-design practices.

Practice: Convert a raw data range into an Excel Table and create a clean analysis-ready structure.

02

Advanced formulas and functions

Build calculations using logical, text, date, and statistical functions.

  • IF, IFS, AND, OR, and nested conditions.
  • SUMIF, COUNTIF, AVERAGEIF, and related functions.
  • TEXT, LEFT, RIGHT, MID, and TRIM functions.
  • Date functions and calculations.
  • Error handling with IFERROR.
  • Formula auditing and troubleshooting.

Practice: Create calculated columns for category, status, and performance using conditional formulas.

03

Lookup functions and data matching

Retrieve and match information across worksheets and tables using lookup functions.

  • XLOOKUP concepts and syntax.
  • VLOOKUP and HLOOKUP concepts.
  • INDEX and MATCH concepts.
  • Exact and approximate matching.
  • Handling missing or mismatched values.
  • Multi-table lookup workflows.

Practice: Match product details from a reference table into a sales dataset using a lookup function.

04

Data cleaning with Power Query

Import, clean, and transform data using Power Query for repeatable reporting workflows.

  • Power Query Editor overview.
  • Importing Excel, CSV, and folder data.
  • Removing duplicates and blank rows.
  • Splitting, merging, and replacing values.
  • Changing data types.
  • Refreshing and documenting queries.

Practice: Clean a messy sample dataset and create a repeatable Power Query transformation.

05

PivotTables and data summaries

Summarize large datasets and explore patterns using PivotTables.

  • PivotTable structure and fields.
  • Rows, columns, values, and filters.
  • Grouping dates and numeric values.
  • Calculated fields and value formatting.
  • Sorting and filtering PivotTables.
  • PivotTable design best practices.

Practice: Create a PivotTable showing sales by month, product category, and region.

06

Charts and data visualization

Choose suitable charts and format visuals for clear business communication.

  • Chart types and appropriate use cases.
  • Column, bar, line, pie, and combo charts.
  • Chart formatting and labeling.
  • Trendlines and data labels.
  • Conditional formatting.
  • Avoiding misleading visuals.

Practice: Create three charts that answer different business questions from the same dataset.

07

Interactive dashboards

Combine PivotTables, charts, slicers, and timelines into an interactive management dashboard.

  • Dashboard planning and layout.
  • KPI selection and metric design.
  • Slicers and timeline filters.
  • PivotCharts and linked visuals.
  • Dashboard formatting and alignment.
  • Interactive reporting workflow.

Practice: Build a simple dashboard with KPI cards, filters, and two linked charts.

08

Quality, validation, and troubleshooting

Improve workbook reliability through validation, error handling, documentation, and review.

  • Data validation and dropdown lists.
  • Input rules and error alerts.
  • Formula-error diagnosis.
  • Workbook protection concepts.
  • Documentation and version control.
  • Reviewing calculations and assumptions.

Practice: Add validation rules and error handling to a sample reporting workbook.

09

Portfolio preparation

Organize the dashboard workbook, document decisions, and prepare a professional presentation.

  • Workbook structure and sheet organization.
  • Data dictionary and metric definitions.
  • Dashboard purpose and intended audience.
  • Insights and recommendations.
  • Clear presentation and storytelling.
  • Professional Excel terminology.

Practice: Prepare a short presentation explaining the dashboard purpose, KPIs, and key insights.

10

Capstone delivery

Complete the Management Dashboard project and prepare a presentation-ready Excel workbook.

  • Define the business question and audience.
  • Clean and structure the source data.
  • Create calculated metrics and KPIs.
  • Build PivotTables and charts.
  • Add slicers and interactive filters.
  • Format the dashboard for clarity.
  • Present insights and recommendations.

Practice: Submit a complete dashboard workbook with a data dictionary, KPI definitions, and insights page.

Practical exercise ideas

Complete these smaller activities before assembling the final Management Dashboard.

Data cleaning

Power Query cleanup

Clean a sample dataset by removing duplicates, correcting formats, and standardizing values.

Formulas

Calculated metrics

Create formulas for growth, completion rate, variance, and performance categories.

Lookups

Multi-table matching

Match product, customer, or employee details across separate worksheets.

PivotTables

Sales summary

Summarize sales by month, region, category, and product.

Visualization

Chart selection

Choose and format charts that clearly communicate trends, comparisons, and proportions.

Dashboards

KPI dashboard

Build a small dashboard with KPI cards, filters, and interactive charts.

Suggested five-week learning plan

This is an illustrative learning sequence. Confirm the academy's official timetable, Excel version, sample datasets, and assessment requirements before publishing.

Weekly focus and practical milestones
Week Focus Suggested milestone
01 Excel structure and advanced formulas Create a clean Table with calculated columns.
02 Lookups and Power Query Clean data and match records across tables.
03 PivotTables and charts Create a multi-dimensional sales summary.
04 Interactive dashboards and validation Build a filtered dashboard with KPIs and charts.
05 Capstone presentation Submit and present the Management Dashboard.
Turn business data into clear decisions

Capstone project

Management Dashboard

Build a complete management dashboard for a chosen approved sample dataset. Possible subjects include sales performance, inventory, HR attendance, project tracking, customer service, or another suitable educational dataset.

Core project requirements

  • Define the business question and intended audience.
  • Clean and structure the source data using Power Query.
  • Create an Excel Table with meaningful column names.
  • Use lookup functions to enrich the dataset where needed.
  • Create calculated metrics and KPIs.
  • Build PivotTables for key comparisons and trends.
  • Create suitable charts for the selected audience.
  • Add slicers or timelines for interactivity.
  • Use conditional formatting to highlight important results.
  • Document data sources, assumptions, and metric definitions.

Quality requirements

  • Use realistic and clearly labeled sample data.
  • Keep raw data, cleaned data, calculations, and dashboard sheets separate.
  • Use meaningful KPIs rather than unrelated visuals.
  • Explain each metric and its calculation.
  • Use readable labels, titles, and consistent formatting.
  • Avoid misleading charts or exaggerated conclusions.
  • Test filters, formulas, and PivotTable refresh behavior.
  • Present insights, limitations, and recommended actions.

A strong dashboard answers a clear business question. Every chart, KPI, and filter should help the audience understand performance and decide what to do next.

Dashboard workflow

Excel dashboard projects are iterative. New questions, data-quality issues, and stakeholder feedback may require changes to the data model, calculations, or visuals.

Plan

Define the question

Identify the audience, business goal, KPIs, and required level of detail.

Prepare

Clean the data

Use Power Query to standardize, filter, and transform source data.

Analyze

Build calculations

Use formulas, lookups, and PivotTables to calculate meaningful metrics.

Visualize

Create clear charts

Select chart types that make trends and comparisons easy to understand.

Interact

Add filters

Use slicers and timelines to help users explore the data.

Communicate

Explain insights

Summarize findings, limitations, and recommended actions.

Power Query is especially useful when the same cleaning and transformation steps must be repeated when new data arrives.

Tools and technologies

The exact Excel version and features may vary by delivery. The proposed toolkit focuses on practical spreadsheet analysis and dashboard development.

  • Microsoft Excel
  • Excel Tables
  • Advanced formulas
  • XLOOKUP concepts
  • PivotTables
  • PivotCharts
  • Power Query
  • Slicers and timelines
  • Conditional formatting
  • Data validation

Supporting concepts

  • Data cleaning and transformation.
  • Lookup and matching workflows.
  • KPI design and metric definitions.
  • Chart selection and dashboard layout.
  • Error handling and workbook documentation.
  • Business reporting and insight communication.

Learning outcomes

By completing the proposed lessons and exercises, aim to demonstrate the following abilities:

  • Organize data using Excel Tables and structured references.
  • Use advanced formulas and conditional logic confidently.
  • Apply lookup functions across worksheets and tables.
  • Clean and transform data using Power Query.
  • Build PivotTables and summarize business data.
  • Create clear charts and visual reports.
  • Use slicers and timelines for interactive analysis.
  • Apply data validation and error-handling practices.
  • Build a management dashboard with meaningful KPIs.
  • Present insights and recommendations professionally.

These are learning objectives, not guarantees of employment, certification, placement, or a specific reporting role. Progress depends on practice, data quality, analysis, and continued learning.

Related career interests

Illustrative directions for continued learning, not job or placement guarantees.

  • MIS Executive
  • Reporting Analyst
  • Data Analyst Trainee
  • Business Analyst Trainee
  • Operations Analyst Trainee
  • Excel Specialist
  • Administrative Analyst

Portfolio presentation ideas

  • Explain the business question and target audience.
  • Show the cleaned data model and Power Query steps.
  • Present KPI definitions and calculations.
  • Explain PivotTables, charts, and dashboard layout.
  • Show interactive filters and key insights.
  • Discuss limitations and recommended next actions.

Frequently asked questions

Who is this course for?

It is suitable for students, working professionals, and career changers who want to improve Excel analysis, reporting, and dashboard skills.

Do I need Excel experience?

Basic Excel familiarity is recommended. The course begins with data structure and formula fundamentals before moving to advanced topics.

Do I need programming skills?

No programming experience is required. The course focuses on Excel formulas, PivotTables, Power Query, charts, and dashboards.

Will the course cover Power Query?

Yes. It introduces Power Query for importing, cleaning, transforming, and refreshing data.

Will the course cover PivotTables?

Yes. The curriculum covers PivotTables, PivotCharts, grouping, filters, calculated fields, and dashboard use.

What is the capstone project?

The proposed capstone is a Management Dashboard that turns a sample business dataset into an interactive Excel report.

Which Excel version do I need?

A recent desktop version of Microsoft Excel is recommended, especially for Power Query and advanced dashboard features. Confirm the academy's required version before enrollment.

How long is the course?

The supplied course information proposes a duration of five weeks. Confirm the academy's official schedule, tools, and assessment requirements.

Does this course guarantee a job?

No. The course can support practical learning and portfolio development, but it does not guarantee employment, placement, certification, or salary.

How do I enroll?

This page is a frontend course-information demonstration. Enrollment, payment, scheduling, and admission workflows are not implemented here.

Analyze data. Communicate decisions.

Build your management dashboard

Study advanced formulas, lookup functions, PivotTables, Power Query, charts, and dashboard design through a practical portfolio project.

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