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Ms. Excel PivotTable For Data Analysis
Rating: 4.3 out of 5(43 ratings)
2,270 students

Ms. Excel PivotTable For Data Analysis

Summarize, Analyze, and Visualize all types of data on PivotTable and PivotChart easily and effectively.
Created byNhoeb Khan
Last updated 3/2024
English

What you'll learn

  • Build PivotTable or PivotChart from worksheet data
  • Connect PivotTables from other sources and Power BI
  • Work with PivotTable Values and play around the design and formatting
  • Utilize a PivotTable Slicer to filter data and Organize PivotTable Timeline to filter date
  • Utilize a PivotTable with the Data Model to analyze data in multiple tables
  • Analyze and Visualize data by using PivotTable and PivotChart allowing you to readily observe comparisons, patterns, and trends

Course content

6 sections12 lectures45m total length
  • Introduction to Advanced PivotTable for Analyzing Data4:23

    Learn to build and refresh pivot tables, create calculated fields, visualize data with pie charts and slicers, and use timelines. Connect to external data sources and Power BI data sets.

Requirements

  • No experiences are required. You will learn everything you want !

Description

Why need PivotTable and PivotChart?

A PivotTable may be used to summarize, analyze, explore, and show summary data. PivotCharts provide visuals to the summary data in a PivotTable, allowing you to readily observe comparisons, patterns, and trends. PivotTables and PivotCharts both allow you to make informed decisions regarding crucial data in your organization. You may also build PivotTables by connecting to other data sources just like SQL Server tables, SQL Server Analysis Services cubes, Azure Marketplace, Office Data Connection (.odc) files, XML files, Access databases, and text files, or by using existing PivotTables.

What will you learn?

1. Build PivotTable and Pivot Chart

  • Create a PivotTable from worksheet data

  • Refresh PivotTables

  • Work with PivotTable Values

  • Work with calculating values in a PivotTable

  • Create Calculated Fields

  • Create a PivotChart

2. Field Arrange, Slicer and Timeline

  • Use slicers to filter PivotTable data

  • Create a PivotTable timeline to filter dates

3. Connect to other data source

  • Connect PivotTables from other sources

  • Change the source data for a PivotTable

  • Use another PivotTable as a data source

  • Create a PivotTable connected to Power BI Datasets

Who need the course?

  • This course is useful for all people who are working in data sector such as data engineer, data analyst and data scientist.

  • This course is also useful for M&E specialist to increase additional capacity

  • Everyone who is willing to understand about the data analysis.

Who this course is for:

  • All Non-profit, Private Sector staffs who are working with data.