Analyzing Data with Excel (#20779)

- Learnfast is a Microsoft Silver Learning Partner. This is an authorised Microsoft Official Course (MOC).
The main purpose of the course is to give students the ability to add BI techniques to Excel data analysis. The course goes beyond the capabilities of tables and charts and uses Pivot Charts, the Excel Data Model, and Power BI.
Features & Benefits
- This is an authorised Microsoft Official Course (MOC).
- Attendees will learn practical skills which can be applied in the work environment.
- Even though Microsoft retired the certification exams for MCSA/E/D certifications, we will still provide you with a Microsoft Certificate of Completion of your course.
- Take full advantage of our new Hybrid Learning by attending on campus or virtually. Have all your classes ready to be downloaded and watched, anytime, anywhere. (Read More)
Outcomes & Objectives
After completing this course, learners will be able to:
- Explore and extend a classic Excel dashboard.
- Explore and extend an Excel data model.
- Pre-format and import a .CSV file.
- Import data from a SQL Server database
- Import data from a report.
- Create measures using advanced DAX functions.
- Create data visualizations in Excel.
- Create a Power BI dashboard with Excel.
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Pricing & Payment Options
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Duration
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3 Days (08:30 – 16:00) Classes are presented via our Hybrid Learning allowing learners the flexibility to attend on campus or in the comfort of their home or workplace.
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Course Prerequisites
This course requires that you meet the following prerequisites:
- 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.
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Who Should Attend
- This course is intended for learners who are experienced with analysing data with Excel and who wish to add BI techniques.
- The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.
Our
Delivery Methods
Our innovative "myWay” learning methodology is built around the students individual learning requirement, allowing each student to learn in a style that is most suitable for their skills set, knowledge and schedule.

Instructor-Led Classes
Reach your full potential through our “myWay Instructor-Led” classes combined with interactive lessons, supporting video content, practical assignments and in field experience, done during the traditional 08:00 – 16:00 working day.

Online Mentored Learning
Do a course at your pace via our “myWay Online Mentored Learning”, combining self-study with supported interactive online video lectures, an online course mentor, extra resources, questionnaires and more, all supported via out Online Student Portal.

Part Time Mentored Learning
Designed for the working professional, our part time programmes provides you with the flexibility and benefit of our myWay Blended Learning with at home exercises/assignments and mentored or in-class lectures at a manageable schedule and pace.
Our Hybrid Delivery Methods
Our Hybrid Delivery Methods
myWay Hybrid Learning is a technology mediated delivery method that extends the benefit of flexibility and technology to all students. Each Hybrid delivery method is described in the section below.

#AnywhereAnytime
Have all your classes ready to be downloaded and watched, anytime, anywhere.

#NoStudentLeftBehind
Never miss a classs because of health, traffic, or transport issues.

#Flexibility
A personalized class schedule, attend class on campus, virtually or both.
In Class or Virtual Class Based Learning
A technology mediated delivery method allowing campus based class or virtual class attendance, or a combination of both. Classes can be in the form of lecture based or mentored based.
Mentored Online Learning
A technology mediated, self paced online delivery method with personal mentorship.
Important Notes
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Learners to arrive at the training venue from 08:00 in preparation for 08:30 starting time
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Bookings are only confirmed upon receipt of the proof of payment or an official company purchase order.
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For full day, on campus courses, Learnfast will supply you with a computer to use for training (if applicable),& tea/coffee and a full lunch. Catering is not included for On-Site training and laptops are available for hire at an additional cost if required.
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Cancellation or rescheduling requests must be in writing and reach us via email at least 5-10 working days prior to the course commencement date. Full course fees will be retained for no shows.
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Virtual learners are required to have a stable internet connection & a working headset available for sound purposes.
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Learners who use their own laptops are fully responsible to ensure that administration rights, software installations, etc. are working sufficiently prior to training.
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Learnfast reserves the right to cancel or postpone dates if we require to do so and undertake to inform clients in writing and telephonically of these changes.
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Learnfast is not responsible for costs associated with cancellation of classes such as flight and accommodation for clients.
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Classic Data Analysis with Excel
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Excel Pivot Tables
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Limitations of Classic Data Analysis
- Formatting Data
- Building a Pivot Table
- Adding pivot charts and a slicer
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Using an Excel Data Model
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DAX
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Create Calculated Columns
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Format Data Model Data
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Create Measures
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Analyse the Data
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Importing Data into Excel
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Shaping and Transforming Data
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Loading Data
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Import and Transform Data from a CSV File
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Add Data from a Folder
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Available Data Sources
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Previewing, Shaping, and Transforming Data
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Table Relationships and Hierarchies
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Loading Data
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Import Data from SQL Server
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Import Data from a CSV File
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Create a Data Table
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Importing Data from Excel Reports
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Transforming Excel report Data
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Import Data from Excel
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Transform the Excel Data
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Load the Data into an Excel Data Model
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DAX
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Measures
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Advanced DAX Functions
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Last year comparison
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Year to date
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Market Share
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Pivot Charts
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Cube Functions
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Charts for Cube Functions
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Create a Tabular Report
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Create a Pivot Chart
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Add Slicers to Charts
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Power BI
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Uploading Excel Data to Power BI
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Power BI Mobile App
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Uploading Excel Data
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Creating a Power BI Dashboard
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Using Power BI desktop
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CampusStart DateEnd DateTypeBook Now
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11 July 202213 July 2022Full Time
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01 August 202203 August 2022Full Time
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22 August 202224 August 2022Full Time
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05 September 202207 September 2022Full Time
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03 October 202205 October 2022Full Time
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24 October 202226 October 2022Full Time
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14 November 202216 November 2022Full Time
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28 November 202230 November 2022Full Time
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CampusStart DateEnd DateTypeBook Now
-
11 July 202213 July 2022Full Time
-
01 August 202203 August 2022Full Time
-
22 August 202224 August 2022Full Time
-
05 September 202207 September 2022Full Time
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03 October 202205 October 2022Full Time
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24 October 202226 October 2022Full Time
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14 November 202216 November 2022Full Time
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28 November 202230 November 2022Full Time