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Home > Analyzing Data With Excel (#20779)

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.
  • Pricing & Payment Options

    NEW SECTION
  • Duration

    In Class/Virtual Class, Hybrid Learning (Learn More)
    • 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.

     
  • 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.
  • 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

  • Learners to arrive at the training venue from 08:00 in preparation for 08:30 starting time 
  • Bookings are only confirmed upon receipt of the proof of payment or an official company purchase order. 
  • 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. 
  • 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. 
  • Virtual learners are required to have a stable internet connection & a working headset available for sound purposes.  
  • Learners who use their own laptops are fully responsible to ensure that administration rights, software installations, etc. are working sufficiently prior to training. 
  •  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. 
  • Learnfast is not responsible for costs associated with cancellation of classes such as flight and accommodation for clients. 
Module 1: Design big data batch processing and interactive solutions (552241A)
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
Lab: Building a Classic Excel Dashboard
  • Formatting Data
  • Building a Pivot Table
  • Adding pivot charts and a slicer

 


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
Lab: Explore an Excel Data Model
  • Create Calculated Columns
  • Format Data Model Data
  • Create Measures
  • Analyse the Data
 

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
Lab: Importing Data from a CSV File
  • Import and Transform Data from a CSV File
  • Add Data from a Folder
 

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
Lab: Import Data from Multiple Sources
  • Import Data from SQL Server
  • Import Data from a CSV File
  • Create a Data Table
 

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
Lab: Importing Data from a Report
  • Import Data from Excel
  • Transform the Excel Data
  • Load the Data into an Excel Data Model
 

Module 6: Creating and Formatting Measures
This module describes how to create and format measures.
  • DAX
  • Measures
  • Advanced DAX Functions
Lab: Creating Measures using Advanced DAX Functions
  • Last year comparison
  • Year to date
  • Market Share
 

Module 7: Visualizing Data in Excel
This module describes how to visualize data in Excel.
  • Pivot Charts
  • Cube Functions
  • Charts for Cube Functions
Lab: Data Visualization in Excel
  • Create a Tabular Report
  • Create a Pivot Chart
  • Add Slicers to Charts
 

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
Lab: Creating a Power BI Dashboard with Excel
  • Uploading Excel Data
  • Creating a Power BI Dashboard
  • Using Power BI desktop
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 26 July 2021
    28 July 2021
    Full Time
  • 10 August 2021
    12 August 2021
    Full Time
  • 16 August 2021
    18 August 2021
    Full Time
  • 06 September 2021
    08 September 2021
    Full Time
  • 27 September 2021
    29 September 2021
    Full Time
  • 11 October 2021
    13 October 2021
    Full Time
  • 25 October 2021
    27 October 2021
    Full Time
  • 08 November 2021
    10 November 2021
    Full Time
  • 22 November 2021
    24 November 2021
    Full Time
  • 06 December 2021
    08 December 2021
    Full Time
  • Campus
    Start Date
    End Date
    Type
    Book Now
  • 02 August 2021
    04 August 2021
    Full Time
  • 23 August 2021
    25 August 2021
    Full Time
  • 13 September 2021
    15 September 2021
    Full Time
  • 04 October 2021
    06 October 2021
    Full Time
  • 01 November 2021
    03 November 2021
    Full Time
  • 29 November 2021
    01 December 2021
    Full Time
  • 13 December 2021
    15 December 2021
    Full Time

By completing the below online booking, a booking confirmation will be sent out and an invoice will be generated. A place will be reserved on this course and you are expected to attend. If you require a quote first please contact Learnfast offices and speak to a sales consultant.

Analyzing Data with Excel (#20779)





  1. By booking for this course, an invoice will be generated and you will be liable for the payment of this invoice. If you require a quote, please contact The CAD Corporation Offices.
  2. After the generation of the invoice a training confirmation will be emailed using the details provided above.
  3. The CAD Corporation retains the rights to change this calendar without any notification.
  4. Tea/coffee and a light lunch will be provided.
  5. All university students will receive a 10% discount for cash payments.
  6. The minimum notice of cancellation is 5 (five) working days prior to the course commencement date. If you fail to do so the full amount is payable.
  7. Students are to be at the training venue by 08h00 in preparation for a 08h30 start time.

As a valued friend of Learnfast, we take your privacy seriously. The POPI Act comes into effect on 1 July 2021 and, we would like to assure you that we treat your information with sensitivity and confidentiality.

By filling in this form, you agree to receive newsletters and communication from Learnfast.
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As a valued friend of Learnfast, we take your privacy seriously. The POPI Act comes into effect on 1 July 2021 and, we would like to assure you that we treat your information with sensitivity and confidentiality.

By filling in this form, you agree to receive newsletters and communication from Learnfast.
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