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20779A – Analyzing Data with Excel

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Course Outline:

Course Outline

Module 1: Data Analysis in Excel
This module looks at the classic Excel dashboard and at ways to extend it.

  • Classic Data Analysis with Excel
  • Excel Pivot Tables
  • Limitations of Classic Data Analysis

Module 2: The Excel Data Model
This module looks at the classic Excel data model and at ways to extend it.

  • Using an Excel Data Model
  • DAX

Module 3: Importing Data from Files
This module looks at pre-formatting and importing CSV files.

  • Importing Data into Excel
  • Shaping and Transforming Data
  • Loading Data

Module 4: Importing Data from Databases
This module looks at how to import data into Excel from a SQL Server database.

  • Available Data Sources
  • Previewing, Shaping, and Transforming Data
  • Table Relationships and Hierarchies
  • Loading Data

Module 5: Importing Data from Excel Reports

This module describes how to import data from a report.

  • Importing Data from Excel Reports
  • Transforming Excel report Data

Module 6: Creating and Formatting Measures
This module describes how to create and format measures.

  • DAX
  • Measures
  • Advanced DAX Functions

Module 7: Visualizing Data in Excel
This module describes how to visualize data in Excel.

  • Pivot Charts
  • Cube Functions
  • Charts for Cube Functions

Module 8: Using Excel with Power BI
This module describes how to use Excel with Power BI.

  • Power BI
  • Uploading Excel Data to Power BI
  • Power BI Mobile App

Course Audience & Prerequisites:

Audience:

  • Data analysts and power information workers

Prerequisites:

  • Before attending this course, students must have:
    • Basic knowledge of the Microsoft Windows operating system and its core functionality
    • Working knowledge of relational databases
    • Extensive knowledge of Excel spreadsheets including formulas, charts, filtering, sorting, and sub-totals
    • Basic knowledge of data analytics equivalent to having attended course 10994

Course Offerings:

Instructor Led In Classroom

Newcomp can directly deliver  IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.

  • Course Outline
  • Course Audience & Prerequisites
  • Course Offerings
  • Related Courses

Course Outline

Module 1: Data Analysis in Excel
This module looks at the classic Excel dashboard and at ways to extend it.

  • Classic Data Analysis with Excel
  • Excel Pivot Tables
  • Limitations of Classic Data Analysis

Module 2: The Excel Data Model
This module looks at the classic Excel data model and at ways to extend it.

  • Using an Excel Data Model
  • DAX

Module 3: Importing Data from Files
This module looks at pre-formatting and importing CSV files.

  • Importing Data into Excel
  • Shaping and Transforming Data
  • Loading Data

Module 4: Importing Data from Databases
This module looks at how to import data into Excel from a SQL Server database.

  • Available Data Sources
  • Previewing, Shaping, and Transforming Data
  • Table Relationships and Hierarchies
  • Loading Data

Module 5: Importing Data from Excel Reports

This module describes how to import data from a report.

  • Importing Data from Excel Reports
  • Transforming Excel report Data

Module 6: Creating and Formatting Measures
This module describes how to create and format measures.

  • DAX
  • Measures
  • Advanced DAX Functions

Module 7: Visualizing Data in Excel
This module describes how to visualize data in Excel.

  • Pivot Charts
  • Cube Functions
  • Charts for Cube Functions

Module 8: Using Excel with Power BI
This module describes how to use Excel with Power BI.

  • Power BI
  • Uploading Excel Data to Power BI
  • Power BI Mobile App

Audience:

  • Data analysts and power information workers

Prerequisites:

  • Before attending this course, students must have:
    • Basic knowledge of the Microsoft Windows operating system and its core functionality
    • Working knowledge of relational databases
    • Extensive knowledge of Excel spreadsheets including formulas, charts, filtering, sorting, and sub-totals
    • Basic knowledge of data analytics equivalent to having attended course 10994

Instructor Led In Classroom

Newcomp can directly deliver  IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.