Excel Data Analysis: Advanced Pivot Table Skills

Learn Everything from Creating to Customizing and Analyzing Data with Pivot Tables

What you'll learn

Create and customize Pivot Tables for data analysis.

Use filters, slicers, and timelines in Pivot Tables.

Generate interactive Pivot Charts for data visualization.

Apply Power Pivot and DAX expressions for advanced analysis.

Develop comprehensive data analysis reports.

Develop comprehensive data analysis reports.

Perform accurate and intuitive data analysis in Excel.

Requirements

A computer with Microsoft Excel installed (preferably Excel 2016 or later).

Basic experience with Excel functionality (charts & formulas a plus!)

Description

Unlock the full potential of Microsoft Excel with our comprehensive course, "Excel Data Analysis: Advanced Pivot Table Skills." This course is designed for professionals who want to master the art of data analysis using Excel Pivot Tables.Throughout this course, you'll gain an accurate and intuitive understanding of how to efficiently prepare data for analysis, build dynamic Pivot Tables, and create insightful Pivot Charts. Our step-by-step approach ensures that you achieve a 100% comprehensive understanding of Pivot Table components, including filters, slicers, and calculated fields. We’ll also delve into deep features such as Power Pivot, DAX expressions, and table relationships, empowering you to handle large datasets easily.Whether you’re looking to streamline your workflow or enhance your data visualization skills, this course covers everything you need. By the end, you’ll be able to perform complex data analysis, generate interactive reports, and gain deeper insights from your data.Key topics include:Inserting and Adjusting Pivot TablesAdvanced Filtering TechniquesCreating and Customizing Pivot ChartsUsing Power Pivot for Large DatasetsEmploying DAX for Advanced CalculationsInteractive Data Analysis with Slicers and TimelinesOur course is filled with hands-on demos and Excel exercises that ensure you not only learn the concepts but also see how they work in practice. These practical exercises are essential because they give you answers to real-world data problems.In today's increasingly data-driven world, analytics skills are in short supply and incredibly high demand. Those with the ability to transform data into insight are leading the charge. Enroll today and start your journey to becoming an Excel analytics pro!See you there!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Welcome

Lecture 3 Download Excel files

Section 2: Basic Data Management

Lecture 4 List Design Basics

Lecture 5 Inserting Tables for Analysis

Lecture 6 Filtering Data in Tables

Lecture 7 Using the Total Row

Lecture 8 Conditional Formatting

Lecture 9 IF Function

Lecture 10 SUMIF and AVERAGEIF

Lecture 11 SUMIFS

Section 3: Data Visualization

Lecture 12 Inserting Recommended Charts

Lecture 13 Adjusting Charts

Lecture 14 Sparklines

Section 4: Pivot Tables: Data analysis

Lecture 15 What are Pivot Tables

Lecture 16 Preparing Data for Analysis

Lecture 17 Pivot Table Components

Lecture 18 Building Pivot Tables to Show Different Values

Lecture 19 Adding Fields to Pivot Tables

Lecture 20 Using Built-In Filters

Lecture 21 Filtering Data with Slicers

Lecture 22 Displaying New Values from Data Sources

Lecture 23 Inserting Pivot Charts

Lecture 24 XLOOKUP

Lecture 25 Joining Data Sets with XLOOKUP

Section 5: Advanced Pivot Tables

Lecture 26 Inserting Pivot Tables from Tables

Lecture 27 Calculated Fields

Lecture 28 Using the Timeline Tool

Lecture 29 Report Filter Pages

Lecture 30 Pivot Table Layouts

Lecture 31 Creating Pivot Table Designs

Lecture 32 Adding Power Pivot Tabs to the Ribbon

Lecture 33 Adding Tables to Power Pivot Data Model

Lecture 34 Creating Table Relationships

Lecture 35 Creating Columns with DAX Expressions

Lecture 36 Displaying New Source Data in Power Pivot Tables

Lecture 37 Data Mining with Flash Fill

Section 6: Conclusion

Lecture 38 Conclusion

Business Analysts looking to enhance data analysis capabilities,Data Enthusiasts eager to learn and apply Excel for data insights,Financial Professionals wanting to improve financial data analysis,Project Managers needing to track and analyze project data effectively,Marketing Analysts seeking to interpret and visualize marketing data,Sales Managers aiming to analyze sales data for better decision making,Students and Beginners interested in learning comprehensive Excel skills