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Simon Sez IT – Advanced PivotTables in Excel
Master the PivotTable function in Excel with this advanced course
Master Data Analysis in Excel through the PivotTable Function
In this Advanced PivotTables in Excel course, we teach you how to make the most of this powerful data analysis function. PivotTables are ideal if you are looking to perform data analysis tasks quickly and efficiently in Excel.
In this course, we give a PivotTable refresher before moving onto some of the advanced features of this tool including Advanced Sorting, Slicers, Timelines, Calculated Fields, Pivot Charts, and Conditional Formatting.
This course is aimed at intermediate users of Excel who are comfortable using the PivotTable function. We don’t recommend this course for people brand new to Excel. If you are new to Excel, try out one of the Simon Sez IT Beginner Excel courses also available on Udemy.
In this course, you will learn:
- How to do a PivotTable (a quick refresher)
- How to combine data from multiple worksheets for a PivotTable
- Grouping, ungrouping and dealing with errors
- How to format a PivotTable, including adjusting styles
- How to use the Value Field Settings
- Advanced Sorting and Filtering in PivotTables
- How to use Slicers, Timelines on multiple tables
- How to create a Calculated Field
- All about GETPIVOTDATA
- How to create a Pivot Chart and add sparklines and slicers
- How to use 3D Maps from a PivotTable
- How to update your data in a PivotTable and Pivot Chart
- All about Conditional Formatting in a PivotTable
- How to create a basic macro to refresh PivotTable data
Course Format
- This is a video-led course. You can preview some videos below.
- This course includes practice exercises.
- This course is aimed at PC Excel users.
Why Trust Us?
Stream Skill is part of the Simon Sez IT family and has been in business 10+ years and taught over 500,000 students in that time. We’ve created over 100 software training courses, 5,000+ video tutorials, and we’ve helped thousands of people across the world learn how to use Microsoft Office. We’ve now created Microsoft Excel courses for the last five versions and continue to help people get to grips with this essential tool.
Your Instructor
Course Curriculum
- Introduction to Advanced PivotTables (3:49)
- Course Exercise Files
- Course Support Files
- PivotTables Recap (12:43)
- Importing data from a text file (9:57)
- Importing data from Access (8:20)
- Exercise 01 (4:46)
- Cleaning Data (17:40)
- Tabular Data (16:05)
- Exercise 02 (3:18)
- Creating and Manipulating a PivotTable (12:27)
- Combining Data from Multiple Worksheets (12:02)
- Grouping and Ungrouping (11:01)
- Report Layouts (10:53)
- Formatting Error Values and Empty Cells (8:26)
- Exercise 03 (1:35)
- PivotTable Styles (11:39)
- Custom Number Formatting (16:25)
- Exercise 04 (1:44)
- Summarizing Values (11:25)
- Show Values As (9:12)
- Exercise 05 (1:46)
- Advanced Sorting (8:40)
- Advanced Filtering (14:04)
- Exercise 06 (2:16)
- Inserting and formatting Slicers (13:51)
- Inserting and formatting Timelines (7:06)
- Connecting Slicers to multiple PivotTables (8:10)
- Using Slicers in Protected Workbooks (5:36)
- Exercise 07 (2:20)
- Creating a Calculated Field (8:25)
- Creating a Calculated Item (8:09)
- Solve Order and List Formulas (10:38)
- GETPIVOTDATA (9:25)
- Exercise 08 (6:41)
- Creating a Pivot Chart (11:30)
- Formatting a Pivot Chart – Part 1 (15:43)
- Formatting a Pivot Chart – Part 2 (15:28)
- Creating a Map Chart using Pivot Data (12:01)
- Dynamic Chart Titles (13:50)
- Include a Sparkline with your PivotTable (10:40)
- Exercise 09 (7:45)
- Highlighting Cell Rules (9:32)
- Graphical Conditional Formats (10:06)
- Conditional Formatting and Slicers (6:28)
- Exercise 10 (2:26)
- Creating an Interactive Dashboard – Part 1 (23:12)
- Creating an Interactive Dashboard – Part 1 (13:54)
- Updating Pivot Charts and PivotTables (4:24)
- Exercise 11 (3:26)
- Course Close (0:37)
- Course Quiz
Proof Content
Sale Page: https://streamskill.com/p/advanced-pivottables-in-excel-training
Archive: https://archive.ph/wip/4qMkQ
Delivery Method
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