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Data Analytics Associate

Data Analytics Associate

Middlesex University Dubai & SAS Introduces Joint Certification Training Programme

Data Analytics Associate: Level 1 Workshop

Dates: 12th and 13th January 2018

Timings: Friday (12th January): 9:00 AM to 5:00 PM, Saturday (13th January): 9:30 AM to 5:15 PM

Location: Middlesex University Dubai

Data Visualization Training Partner: BEINEX-Tableau

Tableau Partner

About Data Analytics Associate: Level 1 Workshop

Middlesex University Dubai and SAS
 are jointly providing an introductory certification workshop in Data Science. This programme has a special Data Visualization component offered by our Tableau training partner - BEINEX. This programme is the first level certification (introduction to Data Analytics) from the joint initiative and is termed as ‘Data Analytics Associate’. It is designed taking under consideration the growing market demand for Data Science and its application in various business verticals such as marketing and sales, operations, HR, IT and several others.  

Is this workshop for you?

The programme is open to working professionals, corporate teams and students enrolled in Masters Programmes.

What will this programme cover?

The programme will focus on hands-on Analytics and will introduce the participants to a range of possible tools, and prepare them for Data Scientist roles. It will be jointly taught by Data Scientists from Middlesex University Dubai, SAS and Tableau. The programme will have a special section on Social Media Analytics and thus will cater to the modern application of Data Analytics. A break-up of sessions and topics is given below. Participants completing this level will be eligible for further joint certifications from Middlesex University Dubai.

Tools that would be used for Hands-on Analytics: R Studio, SAS and Tableau.

Where can you find profiles of previous participants?

The Centre of Innovation and Excellence (CIE) of Middlesex University Dubai has organised a series of training programmes also in collaboration with partner institutes including the Indian Institute of Management Ahmedabad (IIM A). You could find out more information about this past event here

The event was attended by over 40 participants from diverse sectors in UAE. Participants were coming from ADCB, Nielsen, Landmark Group,, Cleartrip, Department of Transport (Abu Dhabi), Abu Dhabi University (ADU), Rivoli Group, Bream, IMT and several other firms.


This programme intends to enable practitioners, managers, and decision-makers to use advanced analytics for better decision-making and in-depth understanding of these concepts using hands-on technique(s) and relating to business cases. The programme may also be of interest to participants from various analytics organisations to better understand the underlying concepts of these advanced techniques. It is further applicable to marketing professionals who would like to work on their datasets to create meaningful information. Students at Masters Level could also enrol in this programme if they wish to pursue a future career in Analytics. An aptitude for quantitative modelling and some prior experience in use of analytics is desirable. The programme is open to various industries and verticals. 

Certification Details

All participants who successfully complete the requirements of this course will be offered Data Analytics Associate (Level 1) certification jointly issued by Middlesex University Dubai and SAS. It will also have a Tableau Partner (BEINEX) as Data Visualization certification partner.

Content and Agenda

The following topics will be covered (but will not be limited to) in the programme:

Day - 1: 12th January 2018 (Friday)

8:30 AM to 9:00 AM

Registrations & Badge Collection

9:00 AM to 10:45 AM

Session-1: Introduction to Data Science

10:45 AM to 11:00 AM

Coffee Break

11:00 AM to 12:15 PM

Session-2: Introduction to R and SAS – Preparing Dataset and Analytics Life Cycle Approach

12:15 PM to 1:30 PM

Prayer and Lunch Break

1:30 PM to 3:15 PM

Session-3: Forecasting and Linear Regression Modeling (SAS Session)

3:15 PM to 3:30 PM

Coffee Break

3:30 PM to 5:00 PM

Session-4: Predictive Analytics using Logistic Regression (R and SAS)


Day - 2: 13th January 2018 (Saturday)

9:30 AM to 11:30 AM

Session-5: Data Visualization Special Session

(Using Tableau)

11:30 AM to 11:45 AM

Coffee Break

11:45 AM to 1:15 PM

Session-6: Clustering Techniques (SAS Session)

1:15 PM to 2:15 PM

Lunch Break

2:15 PM to 3:30 PM

Session-7: Decision Trees and Classification

3:30 PM to 3:45 PM

Coffee Break

3:45 PM to 5:00 PM

Session-8: Social Media Analytics

5:00 PM to 5:15 PM

Closing Ceremony & Certificate Distribution


This programme is designed by Dr. Krishnadas Nanath (Data Scientist & Corporate Trainer - Data Analytics, Middlesex University Dubai). It will be jointly taught by Dr. Nanath, Mr. Raj Thimmappa (SAS Middle East Business Solution Manager and SAS Trainer) and Mr. Indumon Das (Founder, BEINEX Consulting - Tableau Partners).

Venue, Timing and Course Materials

The two day workshop will be held at Middlesex University Dubai (Knowledge Park, Block 16) on 12th and 13th January (9:30 AM till 5:00 PM on both days). Lunch, refreshments and coffee will be served.

All participants will be provided with course materials and booklets on the first day of the programme.

Early registration fees & Procedure

Before 27th December 2017 (Early Bird)
Professionals: 1000 AED
Students and Middlesex Alumni: 750 AED

After 27th December 2017 
Professionals: 1250 AED
Students and Middlesex Alumni: 900 AED

(All fees are excluding VAT)

For group registrations please come in touch with the programme co-ordinator Dr. Krishnadas Nanath to discuss the details.

Last Date for Registration: 8th January 2018

Registrations will close earlier than the deadline when the limited slots are filled up.

All registrations are non-refundable.

Registration Procedure:

For securing your spot in this programme, kindly follow the steps below:

  1. Fill out the registration form given in this web-link
  2. Once you press the Submit button, you would be directed to the Payment page (Few details must be repeated on this page)
  3. Select “Other” in the question “Are You” and Specify “Data Analytics 2018 Participant”
  4. Select “Other” in Fund Distribution and Specify “Data Analytics 2018”
  5. Complete your payment using the payment Gateway


If you need more information please contact Dr Krishnadas Nanath:

Mob: +971 554360019


Programme Volunteers

If you require further assistance related to the logistics of the Data Analytics Programme, please get in touch with our student volunteers Kavya Sridhar (, Divya Syam ( and Zainab ( 

Registration Form
Current Profession


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