Excel for Data Analysis
(4.91 out of 5) 19 Student Reviews
About the Course
This Excel for Data Analysis course is suitable for participants who already have advanced knowledge of Microsoft Excel and wish to implement Business Intelligence components into their workbooks and use visualisation tools.
The course will cover Power Query from the Get and Transform in Excel and Power Pivot to model the data. Students will learn to obtain data from Access, Text Files, the Web, and Excel files and tables and then transform the tables by renaming, removing, splitting, and merging table columns. We will also cover various filtering techniques, such as aggregating values, calculating columns, unpivoting rows, and merging queries.
Who should do this course?
This course will also introduce participants to Data Analysis Expression (DAX) language and bring together Text Based Visualisation with Pivot Tables using Cards and the Matrix views to see the results of DAX functions.
Prerequisites
This Data Analysis course is suitable for participants who want to extend their advanced Excel skills and be able to implement Business Intelligence within their Excel workbooks.
Course Details
$396 incl GST
- Duration:1 Days
- Max. Class Size:10
- Avg. Class Size:5
-
Study Mode:
Classroom Online Live
- Level:Expert
- CPD Hours:6 hours
- Times: Classroom: 9.00am to 5.00pm approx(Local Time) Online Live: 9.00am to 5.00pm approx(AEST or AEDT)
- Download Course PDF
Course Dates
Sydney Class Dates
Level 11, 32 Walker Street, North Sydney , NSW 2060
| 22 Apr 25 | Tue | Online Live |
| 05 May 25 | Mon | Online Live |
| 21 May 25 | Wed | Online Live |
| 02 Jun 25 | Mon | Online Live |
| 19 Jun 25 | Thu | Online Live |
| 04 Jul 25 | Fri | Online Live |
| 15 Jul 25 | Tue | Online Live |
| 01 Aug 25 | Fri | Online Live |
| 11 Aug 25 | Mon | Online Live |
| 28 Aug 25 | Thu | Online Live |
| 12 Sep 25 | Fri | Online Live |
| 22 Sep 25 | Mon | Online Live |
Melbourne Class Dates
Level 12, 379 Collins Street, Melbourne , VIC 3000
| 22 Apr 25 | Tue | Online Live |
| 05 May 25 | Mon | Online Live |
| 21 May 25 | Wed | Online Live |
| 02 Jun 25 | Mon | Online Live |
| 19 Jun 25 | Thu | Online Live |
| 04 Jul 25 | Fri | Online Live |
| 15 Jul 25 | Tue | Online Live |
| 01 Aug 25 | Fri | Online Live |
| 11 Aug 25 | Mon | Online Live |
| 28 Aug 25 | Thu | Online Live |
| 12 Sep 25 | Fri | Online Live |
| 22 Sep 25 | Mon | Online Live |
Brisbane Class Dates
Level 6, 371 Queen Street, Brisbane , QLD 4000
| 22 Apr 25 | Tue | Online Live |
| 05 May 25 | Mon | Online Live |
| 21 May 25 | Wed | Online Live |
| 02 Jun 25 | Mon | Online Live |
| 19 Jun 25 | Thu | Online Live |
| 04 Jul 25 | Fri | Online Live |
| 15 Jul 25 | Tue | Online Live |
| 01 Aug 25 | Fri | Online Live |
| 11 Aug 25 | Mon | Online Live |
| 28 Aug 25 | Thu | Online Live |
| 12 Sep 25 | Fri | Online Live |
| 22 Sep 25 | Mon | Online Live |
Canberra Class Dates
All courses facilitated in, Online Live format ,
| 22 Apr 25 | Tue | Online Live |
| 05 May 25 | Mon | Online Live |
| 21 May 25 | Wed | Online Live |
| 02 Jun 25 | Mon | Online Live |
| 19 Jun 25 | Thu | Online Live |
| 04 Jul 25 | Fri | Online Live |
| 15 Jul 25 | Tue | Online Live |
| 01 Aug 25 | Fri | Online Live |
| 11 Aug 25 | Mon | Online Live |
| 28 Aug 25 | Thu | Online Live |
| 12 Sep 25 | Fri | Online Live |
| 22 Sep 25 | Mon | Online Live |
Adelaide Class Dates
All courses facilitated in, Online Live format ,
| 22 Apr 25 | Tue | Online Live |
| 05 May 25 | Mon | Online Live |
| 21 May 25 | Wed | Online Live |
| 02 Jun 25 | Mon | Online Live |
| 19 Jun 25 | Thu | Online Live |
| 04 Jul 25 | Fri | Online Live |
| 15 Jul 25 | Tue | Online Live |
| 01 Aug 25 | Fri | Online Live |
| 11 Aug 25 | Mon | Online Live |
| 28 Aug 25 | Thu | Online Live |
| 12 Sep 25 | Fri | Online Live |
| 22 Sep 25 | Mon | Online Live |
Perth Class Dates
All courses facilitated in, Online Live format ,
| 22 Apr 25 | Tue | Online Live |
| 05 May 25 | Mon | Online Live |
| 21 May 25 | Wed | Online Live |
| 02 Jun 25 | Mon | Online Live |
| 19 Jun 25 | Thu | Online Live |
| 04 Jul 25 | Fri | Online Live |
| 15 Jul 25 | Tue | Online Live |
| 01 Aug 25 | Fri | Online Live |
| 11 Aug 25 | Mon | Online Live |
| 28 Aug 25 | Thu | Online Live |
| 12 Sep 25 | Fri | Online Live |
| 22 Sep 25 | Mon | Online Live |
Course Units
⊕ Expand full topic list
Unit 1: Get and Transform Introduction
- Link external data to Query
- Understand the Query Editor
- Use the Query Settings
- Apply Query Options
- Import Data into the Data Model
- Edit an Existing Query
⊕ See more
Unit 2: Accessing Data Types from Query
- Create a SQL Server connection
- Understand the Database Query Editor
- Review data download from the Database
- Import data from Text Files
- Import data from a Folder
- Import data from Excel files
- Work with data from the current Workbook
- Import data from an Access Database
- Import data from the Web
⊕ See more
Unit 3: Transforming Data in Query
- Name Columns
- Remove Columns
- Split Columns
- Merge Columns
- Set Column Data Types
- Filter Rows
- Filter Row Ranges
- Remove Duplicate Values
- Filter Out Rows with Errors
- Sort Columns
- Change Values in A Table
- Use Text Transformations
- Use Fill Up and Down to Replace Missing Values
- Aggregate Values
- Calculate Values across Custom Columns
- Duplicate Columns
- Unpivot Columns to Rows
- Merge Queries
⊕ See more
Unit 4: Importing Data into PowerPivot
- Load data from a Server Database
- Preview and Filter a Table
- Write queries to select data from a Database
- Load Views from a Database
- Load Tables from an Access Database
- Load Data from Text Files
- Load Data from Excel files
- Load Data from Excel Table
⊕ See more
Unit 5: Data Model Relationships
- Create table relationship Joins
- Manage Relationships
- View Relationships
⊕ See more
Unit 6: Transforming Data in PowerPivot
- Rename Tables
- Delete Tables
- Move a Table
- Freeze and Unfreeze Columns
- Hide Columns
- Filter Columns
- Sort Columns
- Sort a Column Based on Another Column
- Hide Tables
- Create a hierarchy
- Alter Table Behaviour
⊕ See more
Unit 7: PowerPivot vs Query
- Understand the difference between Power Query and PowerPivot
⊕ See more
Unit 8: DAX Measures for Columns
- Create a Concatenated column
- Create a Calculated column
- Use the RELATED function
- Complete a Task
- Create a Hierarchy
- Calculate Across Tables
- Use the RELATEDTABLE and ROWCOUNT functions
- Use the IF and ISBLANK Functions
⊕ See more
Unit 9: DAX Measures and Metrics
- Create a count Measure
- Create Measures with multiple tables
- Use the SUMX function
- Filter using the CALCULATE Function
- Use the FILTER function
⊕ See more
Unit 10: DAX Time Intelligences Calculations
- Create a Calendar
- Create Calendar Values
- Create Year to Date Sales
- Create Month to Date Sales
⊕ See more
Unit 11: Text Based Calculations
- Create a Pivot Table
- Create a Table Visualisation
- Modify and move the Table
- Create a Card Visualisation
- Create a Matrix Visualisation
- Filter a Table, Card and Matrix
⊕ See more
Unit 12: Power Maps
- Open Power Maps
- Add Geocode to Power Maps
- Navigating 3D Map
- Add Values to the 3D Ma
- Add Categories to the 3D Map
- Add Time Dimension to 3D Map
- Filter 3D Maps
- Playing a Tour
⊕ See more
Training Packages
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Student Reviews
The course was fundamental to understanding how data works with excel. The content was relevant and applicable to work situations. Adam (instructor) did a fantastic job explaining everything and breaking down the information to all experience levels.
The course was great, I learnt plenty and now have a greater appreciation as to how I could use Excel. The course pace was a bit slow, we were on time but the content was slower than I'd prefer.
Adam is incredibly well spoken. His instruction is extremely clear. I'm now a lot more comfortable with Power Query and Power Pivot.
This is my second time taking a course with Dynamic Web Training and Adam. Adam is extremely knowledgeable and thoroughly explained everything in detail, revisiting the steps whenever we missed anything. The class size was small, which gave us plenty of time to ask questions. I'm excited to apply what I've learned to real-world data and make improvements in my work.
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