Excel Data Analysis Masterclass - Data Visualization
Learn how to use Pivot Tables to streamline and revolutionize your workflow in Excel
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Skill level
All levels
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Sections
9
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Lectures
55
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Instructor
John Bura
What's inside
This course includes.
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9
Sections
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55
Lectures
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55
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ 01. Introduction to the Course 5 lectures
1.1 Introduction To The Course
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1.2 Introduction Of The Instructor
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1.3 Course Requirements
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1.4 How To Get Excel
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Source files 01
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+ 02. Dashboards Introduction 7 lectures
2.1 What Will We Learn In This Section
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2.2 What Are Dashboards
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2.3 Answers You Need Before You Start A Dashboard
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2.4 Best Practices For Dashboard Layout
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2.5 Best Practices For Dashboard Colors
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2.6 Section Summary
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Source Code 02
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+ 03. Build a Dashboard Project 6 lectures
3.1 What Will We Learn In This Section
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3.2 Build A Wireframe In Excel
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3.3 Prepare Raw Data For Dashboard
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3.4 Prepare Calculation Sheet
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3.5 Section Summary
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Source Code 03
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+ 04. Scrolling Data Table 8 lectures
4.1 What Will We Learn In This Section
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4.2 Build A Combo Box
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4.3 Complex Lookup
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4.4 Build A Scrolling Data Table
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4.5 Conditionally Format Actual Values Vs Budgeted Values
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4.6 Conditional Headers
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4.7 Section Summary
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Source Code 04
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+ 05. Show Top Indicators 6 lectures
5.1 What Will We Learn In This Section
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5.2 Show Top Matches Over And Under Budget
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5.3 List Box To Select Indicators
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5.4 Toggle Between Top Over Or Under
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5.5 Section Summary
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Source Code 05
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+ 06. Scrollable Line Chart 8 lectures
6.1 What Will We Learn In This Section
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6.2 Prepare Data For Scrolling Chart
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6.3 Scrollable Line Chart
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6.4 Remove Crashing Lines
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6.5 Toggle Visibility Of Line Series
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6.6 Finetune The Line Series
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6.7 Section Summary
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Source Code 06
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+ 07. Interactivity 8 lectures
7.1 What Will We Learn In This Section
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7.2 Add Interactivity To Reports With Pivot Slicers
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7.3 Column Chart Controlled By Slicer
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7.4 Pivot Slicer Sorting
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7.5 Select Only 1 Slicer
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7.6 Dynamic Comments With Slicers
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7.7 Section Summary
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Source Code 07
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+ 08. Finetune the Dashboard 6 lectures
8.1 What Will We Learn In This Section
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8.2 Add Calculations For Variances In Pivot Tables
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8.3 Conditional Formatting In Pivot Tables
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8.4 Refresh Pivot Table With Easy Vba
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8.5 Section Summary
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Source Code 08
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+ 09. Course Summary 1 lecture
9.1 Course Summary And Next Steps
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Description
About this course.
**Welcome to the Course: Excel Data Analysis Masterclass - Data Visualization**
Embark on a journey of mastering data analysis and visualization in Excel with this comprehensive masterclass. This course is designed for individuals seeking to enhance their skills in harnessing the power of Excel for insightful data visualization, creating interactive dashboards, and making data-driven decisions.
**Who is this course for?**
- Excel users aiming to elevate their data analysis and visualization skills.
- Professionals seeking to create impactful dashboards for data-driven decision-making.
- Anyone interested in harnessing the full potential of Excel for insightful data representation.
**Why Take this Course?**
- **Practical Application:** Gain hands-on experience through real-world dashboard projects.
- **Comprehensive Learning:** Cover a wide range of data visualization techniques and dashboard building strategies.
- **Career Advancement:** Acquire skills that are highly sought after in various industries for effective data analysis.
By the end of this masterclass, you'll have the knowledge and practical expertise to excel in Excel data analysis and visualization. Join us in the "Excel Data Analysis Masterclass - Data Visualization" and unlock the full potential of Excel for transforming raw data into actionable insights.
Instructors
Taught by people who ship.
John Bura
Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.
Ready to start building?
Learn how to use Pivot Tables to streamline and revolutionize your workflow in Excel