Pivot Tables In Microsoft Excel Pivot Table & Data Analysis

What you'll learn
Removing Blank Rows & cell
Removing Duplicate Rows
Clearing Formatting
Removing Spaces and Non-printing Characters
Merging and Splitting Columns
Convert Number To Text Without VBA
Finding and Replacing Text
Excel Tables vs Pivot table
Format Data as a Table
Using Recommended Pivot Tables
Creating a Pivot Table from Scratch
Pivot Table Ribbons and Fields
Pivoting the Fields and More
Requirements
No microsoft excel experience needed
You only need access to Microsoft PowerPoint (Office 365, 2019, 2021 or recommended) and a computer.
Description
Unlock the full power of your data with this comprehensive course on Pivot Tables in Microsoft Excel. Whether you're a beginner or someone looking to refine your skills, this training will show you how to confidently summarize, analyze, and present data using one of Excel's most powerful tools.Pivot Tables are essential for anyone who works with data-students, professionals, business analysts, or managers. In this course, you'll learn how to turn raw information into meaningful insights, allowing you to make smarter decisions faster.understanding what a Pivot Table is, why it's so useful, and how to create one step by step. Even if you've never worked with Pivot Tables before, you'll quickly discover how intuitive and valuable they can be.From there, I explore practical techniques for organizing data, grouping values, sorting, filtering, and applying different layouts. You'll gain hands-on experience working inside Microsoft Excel to perform tasks that once seemed complicated.As the course progresses, you'll learn advanced Pivot Table features such as calculated fields, slicers, timelines, and Pivot Charts. These tools allow you to build dynamic and interactive dashboards that elevate your Data Analysis to a professional level.Throughout each lesson, you'll work with real-world examples designed to mirror the challenges faced in business, finance, marketing, and operations. This ensures you're learning directly translates into practical workplace results.You'll also learn best practices for cleaning and structuring data before building a Pivot Table. Good preparation makes data analysis faster, easier, and far more accurate, especially when working with large datasets.What You Will LearnHow to create Pivot Tables from scratch-even if you've never used them beforeTechniques for grouping, sorting, and filtering data efficientlyUsing Pivot Charts to visually present data trendsHow to build interactive reports using Slicers and TimelinesCalculated Fields & Items for deeper analysisSummaries like COUNT, SUM, AVERAGE, MAX/MIN, and percentagesData cleaning and preparation for better analysisReal-world techniques used in business, finance, and data analyticsBest practices for automating repetitive analysis tasksWhy This Course?This course is designed to be simple, practical, and result oriented. Every lecture is built around examples that reflect real office scenarios. You'll gain the confidence to handle data professionally and create reports that impress clients, employers, and stakeholders.By the end of this course, you'll not only master Pivot Tables but also understand how to apply them strategically. You'll know how to identify trends, spot patterns, highlight opportunities, and present findings clearly to colleagues or clients.Whether your goal is to save time, improve reporting, or strengthen your analytics skills, this course offers everything you need. With clear instruction and practical examples, you'll gain confidence in using Microsoft Excel for effective Pivot Table & Data Analysis.Enroll today and take the next step in your data journey. Mastering Pivot Tables will not only improve the way you work-it will transform the way you understand and communicate information.
Beginners who want clear guidance from start to finish,Professionals preparing for job interviews or career advancement,Anyone handling large datasets and needing quick insights,Excel users wanting to enhance their data analysis skills,Data analysts, accountants, business managers, and students
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