Presentation on Proposed Qualification Certified Data Scientist For Alignment as per NSQF Requirements
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Presentation on Proposed Qualification
Certified Data Scientist
For
Alignment as per NSQF Requirements
Dr. Manish Arora
Joint Director (Systems)
National Institute of Electronics and Information Technology (NEILIT)
Chandigarh
1
Highlights of Presentation
About NIELIT
Summary of Proposed Course
(Qualification)
Structure of Qualification
Assessment
Need and Level of Qualification
Recognition Evidence
2About NIELIT
• NIELIT – National Institute of Electronics and Information
Technology – is the Skill development and Capacity Building arm
of the Department of Electronics and Information Technology
(DeitY), Ministry of Communications and IT, Government of India.
• PAN India presence through its own Centres at 34
locations. Some of the centers are in operation since
1974.
• Network of more than 900 Accreditation Centers and 8500+
Facilitation Centers.
• One of the leading organization that is running formal degree as
well as non-formal skilling courses as per Industrial requirements.
• NIELIT qualifications are widely accepted at National as
well as International level
• NIELIT courses are linked with both promotion &
recruitment by number of State Governments owing to
the quality of the courses.
• It is also a National Examination body that is conducting
examination in online (proctored and remote proctored mode) and
3
offline mode across the country.About NIELIT …
• The cumulative number of students enrolled in various NIELIT courses since
1994 has grown from about 14.00 lacs in 2010 to about 45.00 lacs in 2015.
• The number of candidates appearing for online examination has increased to
approx. 80,000 candidates per month from earlier volume of approx 3,000 per
examination (as per current trend this year).
• Digitally signed e-certificates were issued to approx. 10 lakhs candidates.
Linking of around 7 lakh digitally signed e-certificates with digital locker was
done.
• NIELIT is now the leading organization in India in the issuance of e-
certificated linked to the Digital Locker.
• Complete Student Life Cycle starting from registration till issuance of
certificate is totally paperless and transparent.
4About NIELIT …
• The e-Contents of various NIELIT courses are available free of cost in both
English and Hindi. e-Contents of some NIELIT courses like CCC are available
in 25 Indian languages. Process of conversions of e-Contents into Hindi and
six Indian regional Languages is under progress.
• Acceptance of self certification of documents, minimal document submission,
e-KYC, follow-up through in built SMSs/Email.
• Undertaking corporate training programs for employees of Government
Departments and other organizations in areas like SMAC technology, Cyber
Security, IoT, e-Waste, open source, e-Office, Medical Electronics to name a
few.
• Establishment of Smart classrooms with Computer Lab in Model School of
certain State Government(s).
5About NIELIT Chandigarh
• NIELIT Chandigarh a premier institute of this region
• NIELIT Chandigarh is engaged in imparting education and training and
executing IT related projects in the area of Electronics and Information
Technology since 1978.
• The centre was established to promote the use of computers, impart
computer education and professional services in the field of
Information Technology to various Government Organizations, Public
Sectors Undertaking and Autonomous Bodies
• NIELIT, Chandigarh Centre has completed various major projects for a
diverse mix of clients and government agencies of the state of Punjab,
Delhi, Haryana, Himachal Pradesh, Uttar Pradesh, Jammu and Kashmir
and Chandigarh
6Activities at NIELIT Chandigarh
• Training in IT and Electronics
– Trained more than 50000 students since its inception in various long
and short term batches
• IT Enabled Services like Data processing jobs including
examination and electricity bills processing of Punjab, Haryana
and Chandigarh states/UT
• Manpower Consulting, Technical Services and Facilities
Management Group
7Qualification File-Summary
Name of Programme Certified Data Scientist
Proposed Level 6
Learning Hours 240
Entry Requirement Graduate/Undergraduate and
knowledge of any computer language,
Internet Concepts and Database.
Assessing / Certification / Examination/ Accredition
Accreditation Body /Certification Cell,
National Institute of Electronics and
Information Technology (NIELIT)
6-CGO Complex,
Electronics Niketan,Lodhi Road,
New Delhi. 110003.
Course Components 7
Assessing Methodology Written Test, Practical Test and Vivo
8Structure of the Qualification
1. Configure Deployment Platform
(15 Hours)
2. Analyze and Define Business Requirements
(15 Hours)
3. Design and Development Presentation Layer
(45 Hours)
4. Analyze Big Data in Cluster Environment
(30 Hours)
5. Analyze Data using Big Data Analytic Tools
(60 Hours)
6. Manage Real World Data Analytic Application
(60 Hours)
7. Enhancing Communication Skill
(15 Hours) 910
Assessment Methodology
• Written Assessment (Multiple Choice Questions)
• Practical Assessment
• Viva Voce Assessment
• The assessment results are backed by following evidences.
– Attendance Sheet.
– Verification of the authenticity of the candidate by checking the photo ID card
– Roll number
– The assessor takes photograph of all the students along with the assessor
standing in the middle and with the centre name/banner at the back as evidence
11Assessment Evidence
Assessable Outcomes Assessment criteria for Total Writ Prac Vivo
the outcome Mark ten tical -
voce
1. Preparation of platform 75 5 5 5
Configure Deployment for analyzing big data
Platform
Acquiring skills to 10 10 10
interact with prepared
platform
Acquiring skills to secure 10 10 10
files by managing users,
groups and their
privilege
Total 25 25 25
12Assessment Evidence …
Assessable Assessment criteria for the Total Writ Prac Vivo
Outcomes outcome Mark ten tical -voce
2 Selection of database based on 100 5 5 0
Analyze and Define Requirements
Business Acquiring the skills on designing 5 5 0
Requirements database
Acquiring the advanced skills on 5 5 5
database designing
Acquiring the skills to manipulate 5 5 5
data
Acquiring the advanced skills to 10 10 5
manipulate data
Acquiring the skills to manage 10 10 5
large scale data warehouse and
eliciting hidden information
Total 40 40 20
13Assessment Evidence…
Assessable Assessment criteria for the Total Writ Prac Vivo
Outcomes outcome Mark ten tical -voce
3 Acquiring fundamental software 150 10 10 5
Design and developing skills
Develop Acquiring skills on handling 10 10 5
Presentation Layer unusual situations at runtime
Acquiring skills on development 10 10 5
software with latest practices
Acquiring skills on architecture of 10 10 5
front-end application
Acquiring skills on developing 10 10 5
front-end application
Attaining skills on integrating 10 10 5
application with backend database
Total 60 60 30
14Assessment Evidence…
Assessable Assessment criteria for the Total Writ Prac Vivo-
Outcomes outcome Mark ten tical voce
4 Acquiring skills on platform 150 5 5 5
Analyze Big Data preparation for managing big data
in Cluster
Acquiring skills on platform 10 10 5
Environment
preparation for managing big data
in grid
Acquiring skills on interacting with 10 10 10
big data file system
Acquiring skills on analyzing data 10 10 10
using conventional style of
programming
Acquiring advance skills on 20 20 10
analyzing data using conventional
style of programming
Total 55 55 40
15Assessment Evidence …
Assessable Assessment criteria for the outcome Total Writt Pract Vivo-
Outcomes Mark en ical voce
5 Use of data warehouse facility for analyzing 200 5 5 5
Analyze big data
Data using Use of Programming language to Analyze 10 10 10
Big Data big data stored at data warehouse
Analytic Use of column database for analyzing big 10 10 5
Tools data
Use of programming language to analyze 10 10 5
stored in column database
Use of high level tool to analyze big data 10 10 5
Use of programming language to analyze big 10 10 5
data stored in high level tool
Use of Big Data Analytic tool to analyze 10 10 10
semi-structured/unstructured data
Use of programming language to analyse 10 10 5
Semi Structured/ unstructured data
Total 75 75 16
50Assessment Evidence …
Assessable Outcomes Assessment criteria for Total Writ Prac Vivo-
the outcome Mark ten tical voce
6 Identify big data 325 25
Manage Real World Data Requirements
Analytic Application Document big data 25
requirements
Design big data 100
application
Develop big data 50
application
Test big data application 50
Steps to implement the 50
developed application
Demonstrate big data 25
application
Total 325
17Assessment Evidence …
Assessable Outcomes Assessment criteria for Total Writ Prac Vivo
the outcome Mark ten tical -voce
7 Acquiring 10
Enhancing Communication Communication Skill
Skill Managing career, staff and 20
professional relationships
Preparing for interview 20
Total 50
Total 1050 255 255 540
18Recognition of Prior Learning (RPL)
• Presently, only candidates undergoing
training shall be assessed.
• Later on, candidates having experience
and knowledge shall be assessed.
1920
Evidence of Need and Industry Evidence
• Big Data is a term used to describe the process of collecting,
organizing, and analyzing large sets of data to discover hidden
patterns, unknown correlations, and other useful information
• It is essential factor for the success of business
• Driving Force
– Unstructured Data
– Variety of Data
– Volume of Data
• Many unfilled jobs across the globe due to shortage of required skill
• A McKinsey Global Institute study states that the US will face a
shortage of about 190,000 data scientists and 1.5 million managers
and analysts who can understand and make decisions using Big Data
by 2018
21Evidence of Need and Industry Evidence …
• According Fractal Analytics, there are two types of talent deficits:
– Data Scientists, who can perform analytics
– Analytics Consultant, who can understand and use data.
• The talent supply for these job titles, especially Data Scientists is
extremely scarce and the demand is huge
• IBM, Cisco and Oracle advertised 26,488 open positions that required
big data expertise in 2015.
• DELL has 25.1% of all available big data positions that WANTED
Analytics tracks
22Monitoring and Reviewing QF
• The Qualification is to be monitored and reviewed
every two years.
• The following data will be used
– Results of assessments
– Employer feedback will be sought post-placement
– Student feedbacks
– Workshops and seminar for reviewing the qualifications
– Industry Requirements
– Consultation/ Tie-up with Industries or Expert for review of the
Curriculum.
2324
Summary Evidence Level
Data Scientist
Lev
Professional
Process required Professional skill Core skill Responsibility el
knowledge
Data Scientists After acquiring They are proficient in Data Scientist after They are able
carries out the job to professional developing solution acquiring skills to lead team as
identify knowledge on Big based on detailed both managerial well as work in
requirements of Data tools and design and practical and technical of team.
business analyzes Techniques, the Data knowledge gained this level are able
which are helpful in Scientist will be during course to interact with
making business competent to They plan tests, different
decisions identify technical prepare tests cases, stakeholders
Data Scientists requirements in generate test data and involved like
acquire wide range terms of hardware, perform testing on vendors, clients
software and other and users. 6
of theoretical test data
practical skills to IT related devices. They are able to
provide analytic They can prepare make independent
solution to business detailed design of decision involved
analytic problem the proposed in providing
Their job is to solution for Big Data solution.
prepare abstract Analytics
model based on
requirement to
propose solution
7 5 6 9 6 2526
Recognition of Progress
• This qualification comprises both technical and analytic skills
• It can be linked to any qualification higher than this one, existing or to come.
• Cloud providers are now started to provide services for Big data analytics.
• Big Data as a Service (BDaaS) like traditional cloud services, IaaS, PaaS and
SaaS, is next paradigm shift in analytics.
• Amazon Web Service’s Elastic MapReduce (EMR) is the most prominent core
BDaaS available.
• Similarly, Altiscale named one of top 5 Big Data Cloud providers provides
solution for BDaaS.
• NIELIT has recently signed MoU with Amazon for imparting training on AWS
(Amazon, Web Services)
2728
Evidence of International Comparability
• Big Data University is an IBM initiative to spread big
data literacy. The university offers course on ‘Data
Scientist Fundament’
• IBM offers three courses namely :
– IBM Certified Solution Advisor - Big Data & Analytics V1
– IBM Certified Data Architect - Big Data
– IBM Certified Data Engineer - Big Data
29Enrolment and Placement
• NIELIT Chandigarh has started course on Big Data Analysis
using Hadoop Framework of 2/6 months duration in 2015.
• 35 students have been trained so far, out of these, 3 have been
placed, some are still studying at engineering level
30Thank you
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