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Data Analysis Essentials Using Excel

A comprehensive Excel analytics bootcamp that equips you with the tools and workflows to turn messy data into impactful business insights.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

What will you in Data Analysis Essentials Using Excel Course

  • Import, clean, and transform raw data using Power Query and Excel functions

  • Summarize large datasets with PivotTables, PivotCharts, and slicers for interactive analysis

  • Build dynamic dashboards and reports with form controls and conditional formatting

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  • Write advanced formulas—INDEX/MATCH, dynamic array functions (FILTER, UNIQUE), and array formulas—for complex lookups and calculations

  • Conduct statistical analysis: trends, correlations, and regression using Data Analysis Toolpak

  • Automate repetitive tasks with macros and basic VBA snippets to boost productivity

Program Overview

Module 1: Data Import & Preparation

⏳ 45 minutes

  • Connecting to CSV, TXT, and web data sources via Power Query

  • Cleaning and shaping data: remove errors, split columns, pivot/unpivot

Module 2: PivotTables & PivotCharts Mastery

⏳ 1 hour

  • Creating and customizing PivotTables: grouping, calculated fields, and value settings

  • Visualizing insights with PivotCharts, slicers, and timelines

Module 3: Advanced Formulas & Lookup Techniques

⏳ 1 hour

  • Using INDEX/MATCH and XLOOKUP for flexible lookups

  • Applying dynamic array functions (SORT, FILTER, SEQUENCE, UNIQUE) for powerful analysis

Module 4: Dashboard Design & Visualization

⏳ 1 hour

  • Building interactive dashboards with form controls (dropdowns, checkboxes)

  • Leveraging conditional formatting and sparklines for at-a-glance metrics

Module 5: Statistical & Trend Analysis

⏳ 45 minutes

  • Performing trendlines, moving averages, and correlation analysis

  • Using the Data Analysis Toolpak for regression, histograms, and descriptive stats

Module 6: Automation with Macros & VBA

⏳ 45 minutes

  • Recording macros to automate repetitive steps

  • Editing VBA code snippets for custom tasks and error handling

Module 7: Scenario & What-If Analysis

⏳ 30 minutes

  • Exploring data with Goal Seek, Data Tables, and Scenario Manager

  • Building interactive What-If dashboards to evaluate business decisions

Module 8: Best Practices & Real-World Case Study

⏳ 45 minutes

  • Structuring workbooks for clarity: input, calculations, outputs, and documentation

  • Capstone: end-to-end analysis of sales data to generate actionable insights

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Job Outlook

  • Excel data analysis skills are essential for roles like Business Analyst, Financial Analyst, and Operations Analyst

  • In demand across industries—finance, marketing, supply chain, and consulting—for data-driven decision making

  • Equips you to produce dashboards and reports that influence strategic initiatives and KPIs

  • Provides a foundation for learning Power BI, SQL, and Python for advanced analytics

9.7Expert Score
Highly Recommended
A thorough, hands-on course that transforms raw data into strategic insights using Excel’s most powerful tools—ideal for analysts and managers alike.
Value
9.3
Price
9.5
Skills
9.7
Information
9.6
PROS
  • Deep coverage of Power Query and PivotTable best practices
  • Real-world case study ties together all techniques
CONS
  • Assumes basic Excel familiarity—absolute beginners may need an introductory Excel primer
  • VBA section is light; advanced macro programmers may seek more depth

Specification: Data Analysis Essentials Using Excel

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

Data Analysis Essentials Using Excel
Data Analysis Essentials Using Excel
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