
Pivot Tables in Microsoft Excel: Pivot Table & Data Analysis
Affiliate link — we may earn a commission. Learn more
Pivot Tables in Microsoft Excel: Pivot Table & Data Analysis – taught by Logic Labs – is a comprehensive Udemy course that empowers learners to master data summarization, visualization, and reporting using Excel’s most powerful feature. Updated July 2026, this free‑coupon‑enabled training covers everything from basic table cleanup to advanced calculated fields, delivering practical skills that translate directly into workplace productivity. Whether you search for a free pivot tables course, an Excel Udemy course, or want to learn pivot tables online, this program provides step‑by‑step guidance and a certification of completion.
What You'll Learn
Gain concrete, job‑ready abilities through focused, hands‑on lessons.
- Build dynamic Pivot Tables from raw spreadsheets without prior experience.
- Master data cleaning techniques such as removing blanks, duplicates, and non‑printing characters.
- Learn how to convert numbers to text, merge and split columns, and format data as Excel tables.
- Understand the differences between Excel Tables and Pivot Tables to choose the right tool for each scenario.
- Create interactive Pivot Charts, slicers, and timelines that turn numbers into visual stories.
- Implement grouping, sorting, and filtering strategies that reveal hidden trends instantly.
- Apply calculated fields and items for deeper statistical analysis, including percentages and custom formulas.
- Analyze real‑world business datasets, enabling you to generate actionable insights for finance, marketing, and operations.
Course Details
- Instructor: Logic Labs
- Rating: 4.2 stars (based on student reviews)
- Language: English (en‑US)
- Certificate: Yes, upon completion
- Includes: Lifetime access to all video lessons, mobile‑friendly streaming, downloadable resources
What This Course Covers
Explore each module’s core topics through concise, practice‑oriented bullet points.
Module 1 – Data Preparation Fundamentals
- Removing blank rows, cells, and unnecessary spaces to ensure clean input.
- Eliminating duplicate rows to prevent skewed analysis results.
- Clearing formatting inconsistencies that hinder pivot operations.
- Converting numbers to text without using VBA macros.
Module 2 – Excel Tables vs. Pivot Tables
- Defining Excel Tables and their role in structured data management.
- Comparing Table features with Pivot Table capabilities for decision‑making.
- Demonstrating how to format data as a Table before pivot creation.
- Highlighting best‑practice scenarios for choosing each tool.
Module 3 – Building Pivot Tables from Scratch
- Accessing the Pivot Table ribbon and selecting appropriate data ranges.
- Adding fields to rows, columns, values, and filters for custom layouts.
- Using Recommended Pivot Tables to let Excel suggest optimal structures.
- Saving and reusing pivot configurations for future reports.
Module 4 – Advanced Pivot Table Features
- Creating calculated fields and items to perform on‑the‑fly calculations.
- Implementing slicers and timelines for interactive data filtering.
- Designing Pivot Charts that visualize trends, comparisons, and distributions.
- Applying conditional formatting within Pivot Tables for instant insights.
Module 5 – Grouping, Sorting, and Filtering Techniques
- Grouping dates, numbers, and custom categories for summarized reporting.
- Sorting pivot results by value, label, or custom order to highlight priorities.
- Filtering data using label filters, value filters, and search boxes.
- Nesting multiple filters to drill down into complex data hierarchies.
Module 6 – Real‑World Applications and Best Practices
- Conducting financial analysis using SUM, AVERAGE, COUNT, MAX, and MIN functions.
- Building dashboards that combine multiple Pivot Tables and charts on a single sheet.
- Automating repetitive analysis tasks with recorded macros and template files.
- Reviewing case studies from business, finance, and marketing to cement learning.
Who Should Take This Course
Identify the ideal audience for maximum benefit.
- Beginners who need clear, step‑by‑step guidance from start to finish.
- Professionals preparing for job interviews or seeking career advancement in data‑heavy roles.
- Business analysts, accountants, and managers handling large datasets that require rapid insights.
- Excel users eager to upgrade their data analysis toolkit with Pivot Table expertise.
- Students and researchers who must transform raw data into compelling visual reports.
Prerequisites
- No prior experience needed — this course is beginner‑friendly and starts with basic Excel navigation.
- Familiarity with basic spreadsheet concepts (cell references, simple formulas) is recommended but not required.
Why Enroll in This Course
The curriculum delivers practical, workplace‑ready skills without overwhelming theory, making it ideal for busy professionals. A free coupon provides 100 % off for a limited time, so you can start learning immediately without financial commitment. Compared with other Ud
Affiliate link — we may earn a commission
Affiliate link — we may earn a commission. Learn more




