Excel Pivot Tables: Hands-On Data Analysis Workshop — PickAClass
⏱ 3h 6m 📚 29 lessons 🎧 Audio version

Excel Pivot Tables: Hands-On Data Analysis Workshop

Learn to summarize, analyze, and present complex datasets with confidence using Excel Pivot Tables.

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About this course

Raw data is only valuable if you can extract meaningful insights from it quickly. This course teaches you how to transform messy spreadsheets into clear, actionable summaries using Excel Pivot Tables. You will start with the absolute basics of data preparation and terminology, then progress to building, formatting, and filtering Pivot Tables to uncover trends and answer business questions. What you'll learn: - Understand foundational data structures and prepare raw data for error-free analysis - Create Pivot Tables from scratch to summarize large datasets instantly - Group, filter, and sort data to highlight key business metrics - Apply conditional formatting and custom styles for professional presentation - Utilize calculated fields and basic Power Query concepts to streamline your workflow - Build interactive Pivot Charts to communicate insights effectively Starting with essential data rules and definitions, this text-based course takes you step-by-step through building, customizing, and updating reports. It is designed specifically for beginners, office professionals, and aspiring analysts who want to master data organization without complex formulas. No prior Pivot Table experience is required. Start reading today to unlock the full analytical power of Excel.

Course contents

6 modules · 29 lessons · 3h 6m

1 Foundations and Data Preparation
Prepare a clean and structured dataset ready for analysis.
5 lessons · 31 min
  1. Welcome to the Workshop
    An introduction to the course objectives and the value of Pivot Tables.
    5 min
  2. Essential Terminology
    Defining fields, records, data sources, and Pivot Table areas.
    6 min
  3. The Perfect Data Structure
    Golden rules for organizing columns and rows so that Excel can interpret them correctly.
    7 min
  4. Cleaning Raw Data
    Removing duplicates, handling empty cells, and fixing common errors.
    7 min
  5. The Power of Excel Tables
    Why you should use 'Format as Table' (Ctrl+T) as the foundation for your Pivot Table.
    6 min
2 Building Your First Pivot Table
Create and configure a functional Pivot Table.
5 lessons · 31 min
  1. Creating from Scratch
    Inserting your first Pivot Table into a new worksheet.
    6 min
  2. Exploring the Field List
    How to drag fields into the four areas: Filters, Columns, Rows, and Values.
    6 min
  3. Organizing Dimensions
    Moving fields between Rows and Columns to change your analytical perspective.
    6 min
  4. Sum, Count, and Average
    Changing the value aggregation type to answer different business questions.
    7 min
  5. Refreshing Data
    Using the Refresh command to reflect changes made to the source data.
    6 min
3 Filtering and Grouping
Isolate relevant information and summarize temporal data.
6 lessons · 38 min
  1. Smart Sorting
    Sorting data alphabetically or by value from largest to smallest.
    6 min
  2. Label and Value Filters
    Hiding specific data using text or numeric criteria.
    6 min
  3. Slicers
    Adding visual buttons to filter data interactively.
    7 min
  4. Timelines
    Filtering data by time periods like months, quarters, or years using a scrollable bar.
    6 min
  5. Grouping Dates
    Automatically transforming individual dates into groupings by Month or Year.
    7 min
  6. Grouping Numbers
    Creating price or age brackets by grouping numerical values.
    6 min
4 Advanced Analysis and Power Query
Extract complex metrics and optimize the workflow.
4 lessons · 29 min
  1. Show Values As...
    Calculating percentages of the total or differences compared to the previous period.
    7 min
  2. Creating Calculated Fields
    Adding new metrics like Taxes or Margin directly within the Pivot Table.
    8 min
  3. Intro to Power Query
    What Power Query is and how it helps import data from external sources.
    7 min
  4. Optimizing with Power Query
    Automating data cleaning before it reaches the Pivot Table.
    7 min
5 Design and Presentation
Making reports readable and professional.
4 lessons · 25 min
  1. Styles and Layout
    Changing the table design and choosing between Compact, Outline, or Tabular layouts.
    6 min
  2. Conditional Formatting
    Automatically highlighting values above or below average using colors.
    7 min
  3. Handling Errors and Blanks
    Customizing the display of cells that contain errors or zeros.
    6 min
  4. Cleaning Headers
    Renaming fields to make the report ready for printing or sharing.
    6 min
6 Visualization and Dashboards
Creating an interactive visualization system.
5 lessons · 32 min
  1. The First Pivot Chart
    Creating a chart that updates automatically along with the table.
    6 min
  2. Customizing the Chart
    Removing field buttons and choosing the correct chart type.
    6 min
  3. Filter Connections
    Connecting a single Slicer to multiple Pivot Tables and Charts simultaneously.
    7 min
  4. Building a Mini-Dashboard
    Assembling tables and charts into a single interactive sheet.
    8 min
  5. Conclusions and Best Practices
    Final summary and tips for continuing to explore data analysis.
    5 min
Final project

Corporate Sales Analysis Dashboard

Starting from a messy raw sales CSV file, you will clean the data, create a Pivot Table to analyze regional performance, and build an interactive dashboard.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • ⚡ Short & focused
    3h 6m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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Excel Pivot Tables: Hands-On Data Analysis Workshop
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Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
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Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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