Conference Description:

OVERVIEW
Pivot Tables are one of the most powerful tools in Excel’s data analysis and Business Intelligence (BI) armoury.
With just a few clicks of the mouse (and no complicated formulas!) you can quickly and easily build the reports, dashboards and charts that help you to summarise, analyse, interpret and understand your data which in turn helps you to spot trends and get answers to the important questions on which you base your key business decisions.

WHY SHOULD YOU ATTEND
From global enterprises to early-stage startups and small businesses, people everywhere use Pivot Tables to see and understand their data.
Learning how to create Pivot Tables is one of the must have skills for anyone who needs to use Excel to quickly build reports and summaries.
This training will enable anyone who is familiar with the basics of pivot tables to take their skills and knowledge to the next level.

AREAS COVERED
• Calculating month-on-month difference
• Calculating a running/cumulative total
• Displaying a unique count
• Using formulas to create additional calculated items
• GETPIVOTDATA - When to use and when to avoid
• Create Pivot Tables from multiple lists of data
• Add a Timeline Slicer to a Pivot Table
• Add Conditional Formatting to a Pivot Table
• Create a small Pivot Table driven Dashboard

LEARNING OBJECTIVES
• Use Pivot Tables to turn raw data into meaningful and insightful reports
• Create Difference Between and Year To Date Reports
• Use formulas in a Pivot Table
• Create Pivot Tables from multiple data lists
• Create interactive Pivot Table reports
• Create a small Pivot Table driven Dashboard

WHO WILL BENEFIT
If you are familiar with the basics of pivot tables (creating a basic pivot table, changing the appearance and layout, sorting, creating a pivot chart) and you wish to take your knowledge to the next level, this training is for you.
Although the training will be delivered using Excel 2016 for Windows, most of the functionality demonstrated is available in earlier versions of Excel (2007, 2010, 2013)

For more detail please click on this below link:
https://bit.ly/2ra9egL

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