Data Modelling With Power Pivot

Data Modelling With Power Pivot

分类: Microsoft Power Pivot 当前有货
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Data Modelling With Power Pivot

Duration: 2 Days
Time Schedule: 9:00am to 5:00pm
Break - 10:15am to 10.30am and 3:15pm to 3:30pm
Lunch - 1:00pm to 2:00pm

Prerequisites

Basic knowledge of Microsoft Excel is essential with the following pre-requisites:

Version Support - Excel 2016 Professional plus or Excel 365 (Power Pivot is located in File → Options → Add-Ins → Manage: COM addins → GO → Power Pivot)

Learning Outcomes / Benefits

Upon completion of this program, participants should be able to: Unlike the traditional pivot table and Excel sheets, user is limited to analyse data within a million row of data at a time, per table at a time (it is extremely slow). With the capability of Power Pivot, add ins of Business Intelligent engine to Excel, it has since supercharged your Excel into owning super power to analyst more than a million rows of data (safely 100 million rows). Creating reports by connection to relational data source (Multiple tables with relationship) created within excel using Power Pivot easily. With the fast performing processing engine, DAX (Data Analysis Expression) the functions used in Power Pivot allow users to customize any calculation whether to add in calculated column or measure faster than ever. Finally, all will be visualizing and with the help of slicer, participants will be able to turn the dashboard using slicer.

Key Content

Module 1 - Things You Should Know Before Getting Into Reporting

Lesson 1.1. What to do when a big data bomb drops onto your hand?

Upon completion of this module, participants should be able to: How Excel behave when it comes to keeping too many unwanted, inconsistent and untidy data. Besides, they should also understand what tools are should be use to sort out and filter out useful data. Finally, they should learned what are the steps should be taken in order to create a report.

Module 2 - Building Your First Report With Pivot Table

Lesson 2.1. 3 Steps in creating a report

Lesson 2.2. Facelift the report

Lesson 2.3. Organizing and sort out useful info

Lesson 2.4. Using Pivot Table Value outside pivot table

Lesson 2.5. Slicing and dicing data using Slicer and Timeline

Upon completion of this module, participants should be able to: Extract information and construct a report using the most powerful feature in Excel. Summarizing large data into useful to they can have the overview. This enable them to and compare the expenses over the year or top sales product and others. Finally, user will be able to view a report from different angles and perspective using slicer within few clicks.

Module 3 - Visualizing Reports Using Pivot Chart

Lesson 3.1. Displaying the trends and comparison of data with Pivot Chart

Lesson 3.2. Formatting Pivot Charts

Upon completion of this module, participants should be able to: Visualize the pivot report using Pivot Chart. Pivot chart allow them to have the overview of the pivot report and it is a great way if they want to compare the value by region or month. Not only that, Pivot Chart allows user to take a look the projected and actual costing or KPI from one period to another. Decision making become easier when the big data is being crunch and visualize using Pivot Chart.

Module 4 - Ice Breaking Session With PowerPivot

Lesson 4.1. What is Power Pivot?

Lesson 4.2. Get your Power Pivot

Upon completion of this module, participants should be able to: Enable one of the powerful analysis tools in Excel PowerPivot and understand who and why should you use Power Pivot while analysing data. Finally, they should have more understanding with Power Pivot and not getting confuse Power Pivot with Pivot Table.

Module 5 - Where Should You Begins With Power Pivot

Lesson 5.1. Importing data into Data Model thru Excel

Lesson 5.2. Importing data from delimited file

Lesson 5.3. Importing data from database file

Lesson 5.4. Talk about relationship

Upon completion of this module, participants should be able to: Import data from various sources, from excel spreadsheet to text files and relational database. Connecting all the related tables using relationship, using the shortest and simplest way to link up the tables. With the relationship created in data model, it eliminates the need of using the tedious and high maintenance Vlookup to extract information. Lastly, participants will be able to relate the benefits of link up tables using relationship instead of Vlookup to avoid unnecessary errors caused by it.

Module 6 - Adding Calculated Column Using Existing Information From Tables

Lesson 6.1. Inserting Calculated Column

Lesson 6.2. Using DAX function

Lesson 6.3. Define hierarchy

Upon completion of this module, participants should be able to: Differentiate the differences in between Calculate Column and Measure. User will be able to use DAX function to summarize the relational data in Power Pivot. Besides, user gets to enjoy the fast calculation with DAX function especially when the data model involves more than a million rows of data. Finally with calendar table construct using DAX function allow user to create reports group by date(by year/ fiscal year/ quarters/ months/ day).

Module 7 - It’s Time To Put Everything Together. Power Pivot And Pivot Table.

Lesson 7.1. Create Reports by connecting to External Data Source

Lesson 7.2. Visualize Report

Lesson 7.3. Say no more to reporting routine

Upon completion of this module, participants should be able to: Summarize and visualize everything using Pivot Table by connecting the data source to Power Pivot. User finally can create a report by drag and drop fields from multiple tables from data model without having the heaving processing from VLOOKUP. With this feature, user will no longer need to create report from period to period. With “one click refresh” capability, they get to view dashboard base on latest updated data.

Target Audience

This course is designed for Clerks, Officers, Executives, Supervisors, Administrators, Managers of all levels; and personnel who already know and understand and want to further enhance their knowledge and practical uses of Microsoft Excel.

Methodology

This program will be conducted with interactive lectures, PowerPoint presentation, discussions and practical exercise.

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