centre for excellence · Advanced Excel and VBA, Hadoop Spark, Python, ML regression, SAS Enterprise Miner, Data Mining etc. curriculum SIX TRACKS – STATISTICS & TECHNOLOGY BY SAS

centre for

excellence

We Nurture. We Transform.

We Create Technology Experts

www.nldalmia.org

N L Dalmia Campus

Srishti Complex Sector 1 Mira Road (East), Mumbai 401 104

Phone: +9122 4299 0033 Ashutosh Singh (Career Counsellor): +91 99205 55222

Sanket Kondlekar (Career Counsellor): +91 99208 88333

Fax: 022 4299 0088

Email: [email protected]

The information in this brochure is intended for informational and educational purposes only, to provide readers with better

understanding. All designated trademarks and brands are the property of their respective owners

Technology is making sweeping changes in businesses

globally, requiring managers with newer skills and strong

understanding of technologies. In India, many of the

business graduates fall short of this requirement leading to

long gestation in employment and lower return on

Investment made in the education.

If the institute has to stay relevant, there is a need to bring in

changes, which will improve the core skills of the graduates

and at the same time make them more relevant for current

and emerging job market in India.

The Global Management Education is thus undergoing a

tectonic shift from a generalized liberal program to a

technological skill based approach. Commonalities in

Maths-Stats- Computer Science-Electronics are increasingly

becoming inter operative and a new discipline popularly

known as “High Tech Management” is emerging. Most of

the traditional decision-making is shifting towards Analytics

and thus leading to the emergence of Data Science. In order

to fill this significant GAP in learning outcomes and desired

skills, N L Dalmia envisions launching their prestigious

School of Quantitative Science. The institute has initiated a change and is transforming

itself into India’s premier institutes offering courses in

Digital Marketing, Advanced Analytics and Information & Cyber Security. With the launch of the School of Quantitative

Sciences, the institute has embarked on a mission to

establish a cutting-edge in these emerging domains. With the advent of Big Data and Digital Marketing, the

institute aims to germinate managers who will be

tomorrow’s leaders.

N L DALMIA CENTRE FOR EXCELLENCE WILL PROVIDE THE FOLLOWING COURSES: 1. Post graduate certificate in Business Analytics – Virginia Tech USA 2. Post graduate certificate in Big Data with SAS Institute 3. Post graduate certificate in Advanced Analytics with SAS Institute 4. Post graduate certificate in Fintech 5. Post graduate certificate in Digital Marketing and Social Media Analytics 6. Post graduate certificate in Information and Cyber Security

To be at the forefront of Techno-Managerial education and

create an ecosystem of highly skilled professionals

To upgrade the techno-managerial skills and competencies of working

executives and new-age graduate professionals

To follow a modern pedagogy which focuses on practical exposure to

theoretical teaching

post graduate certificate in

big data with sas

Course Overview

The post-graduate program in Big Data is a meticulously designed course by the

institute collaboratively with the technological partners SAS Institute India Pvt Ltd.

The students will be trained to become core data scientists.

SAS is the leader in analytics. Through innovative analytics, BI and data

management software and services, SAS helps turn your data into better

decisions. The focus of the course will be to give emphasize on areas like as

programming, introductory statistics, data management & manipulation, data

quality, working with HADOOP, HIVE & SAS and data visualization.

curriculum

SIX TRACKS – STATISTICS & TECHNOLOGY BY SAS (240 HOURS)

Track I 40 Hours

10 Credits

Analysis

driven data :

SAS Visuals SAS Analytics

Reporting

Track II 40 Hours

10 Credits Introduction to Annova

Regression & Logistic

Regression

Track III 40 Hours

10 Credits Introduction to SAS and

Hadoop Essentials

Track IV 40 Hours

10 Credits

DS2 Programming

essentials with Hadoop

Track V 40 Hours

10 Credits

Big Data Analysis with

Hive & Pig

Track VI 40 Hours

10 Credits Getting started

with SAS

In-memory

Statistics

Theory Component for Each Technology:

Key Characteristics | Key Players | Technology Stack | Key Trends

Application Areas :

Use Cases for various domains

Case Studies of Successful Implementations:

Start-ups in Each of These Technologies Present their Success Stories

Job Readiness Capstone Project

FOUR TRACKS – QUANTITATIVE SCIENCE & TECHNOLOGY BY N DALMIA (240 HOURS)

Foundation 32 Hours 0 Credits

Data Science

Essentials

Basics of Programming

Advance Excel & VBA

Maths & Tech 80 Hours

20 Credits

Optimization & Statistics

Econometrics R database & SQL

Hadoop Spark

ML & AI 80 Hours

20 Credits

Python Natural Language

Progression

Web Analytics

ML Regression

Data Science in Business 80 Hours

20 Credits

Business Application in Data Science

Theory Component for Each Technology: Key Characteristics | Key Players | Technology Stack | Key Trends

Application Areas : Use Cases for various domains

Case Studies of Successful Implementations: Start-ups in Each of These Technologies Present their Success Stories

course highlights Financial Aids available in the form of education loans and scholarships - 11 months post graduate certificate with paid internship, 480 hours course - Unique combination of interdisciplinary coursework and cutting-edge training by

N L Dalmia (240 hours) and SAS (240 hours)

- Program is only suitable for students with strong background in mathematical sciences

- Includes cutting edge tools in big data - Includes advanced topics in mathematics, statistics, OR & econometrics - Learn from the best minds with over 15+ years of industry & data science management experience - Guest lectures from eminent thought leaders and industry stalwarts - One of its kind exclusive opportunity to earn a Globally recognized Digital Batch from SAS

eligibility

- A candidate must have passed a three years bachelor’s degree examination as per university rule from any UGC recognized university with preferably 60% percentage at the time of graduation

- The institute will conduct an NLD-SAT and personal interviews - Verification for the academic qualifications from school to graduation will be done during personal interviews

Ashutosh Singh (Career Counsellor): +91 98205 55222 www.nldalmia.org Sanket Kondlekar (Career Counsellor): +91 98208 88333

post graduate certificate in fintech

Course Overview The Post graduate certificate in Fintech is designed to provide aspirants with end

to end understanding of the FinTech sector, components of the ecosystem,

potential impact, along with frameworks to enable Fintech innovations, driven by a

case study methodology. The program is covered over 4 levels, providing high quality financial management and advance analytics course curriculum. Nationally

and internationally acclaimed faculty members bring forth a right mix of industry –

academic experience, providing a holistic perspective of innovative thinking, a key

addition to business value in today’s fast changing and competitive environment.

curriculum

Finance Primer (35 Hrs)

TECHNOLOGIES (180 HOURS)

Global Financial Markets Capital Markets

Banking Sector: Retail,

Investment and

Corporate Banks

Key Players, Products

& Services

Block Chain (60 Hours)

Crypt

-currency & Bitcoin

Technology

stack Frameworks

Data Analytics (45 Hours)

Descriptive

Diagnostic

Predictive

Prescriptive

Artificial Intelligence (50 Hours) Perceptron

learning

Neural networks

Machine Learning

Robotics (45 Hours)

Automation Spectrum

RPA Lifecycle

Process Assessment

Regulatory Tech

(45 Hours)

Risk Management Compliance

Regulatory

Managed

Services

FinTech Primer (60 Hrs)

Digital Disruption

in Financial Services

The FinTech Ecosystem

Financial Modeling and Fintech

The Future of Fintech

Theory Component for Each Technology: Key Characteristics | Key Players | Technology Stack | Key Trends | Regulatory Impact

Application Areas :

Use Cases for each Domain



Pitch Book Presentations

Make Compelling Investor Decks | Pitch book Presentations | Master the Elevator Pitch

Plus

+

Design Thinking (25 Hours)

Job Readiness (15 Hours)

Capstone Project (40 Hours)

course highlights Financial Aids available in the form of education loans and scholarships Developed specifically for the Banking, Finance and Technology industries, the program will equip

aspirants to : - Be at the forefront of technology innovation - Improve existing business models and financial solutions using Emerging Technologies such as & Strategy Blockchain, Machine Learning, Artificial Intelligence and Reg Tech

Strategic Management, Marketing Strategy

- Integrate cutting-edge Fintech solutions into the lives of tech-savvy customers - Rework financial regulations, innovation and customer behaviour, and uncover opportunities for

connecting with changing markets, trends and institutions

Capstone Project 17%

Job Readiness

4%

Design Thinking

7%

Reg Tech

9%

Robotics 9%

Artificial Intelligence

9%

Finance Primer 11%

FinTech Primer

13%

IT Primer 9%

Block Chain 9%

Data Analytics

6%

430 Hour Weekend Program

6 Hour session on Weekends

Program Duration : 9 Months

eligibility

- A candidate must have passed a three years bachelor’s degree examination as per university rule from any UGC recognized university with preferably 60% percentage at the time of graduation.

- The institute will conduct an NLD-SAT and personal interviews. - Verification for the academic qualifications from school to graduation will be done during personal interviews.



advanced analytics with sas

Course Overview

The Post graduate certificate in Business Analytics is a meticulously designed

course by the institute collaboratively with the technological partners SAS. The

students will be trained to apply Machine Learning in business.

SAS is the leader in analytics. Through innovative analytics, BI and data

management software and services, SAS helps turn your data into better

decisions. The focus of the course will be to give emphasize on areas like

Advanced Excel and VBA, Hadoop Spark, Python, ML regression, SAS Enterprise

Miner, Data Mining etc.

curriculum

SIX TRACKS – STATISTICS & TECHNOLOGY BY SAS (240 HOURS)

Track I 40 Hours

10 Credits

Applied Analytics

using SAS

Enterprise Miner

Track II 40 Hours

10 Credits Communicating

Technical Findings to a

Non Technical Audience

Track III 40 Hours

10 Credits

Neural

Network

Modeling

Track IV 40 Hours

10 Credits Predictive Modeling

using Logistics

Regression

Track V 40 Hours

10 Credits Data Mining

Techniques : Predictive

Analytics on Big Data

Track VI 40 Hours

10 Credits

Using SAS to pu t

Open Source

Models into

Production

Theory Component for Each Technology:

Key Characteristics | Key Players | Technology Stack | Key Trends

Application Areas :




Job Readiness Capstone Project

FOUR TRACKS – QUANTITATIVE SCIENCE & TECHNOLOGY BY N L DALMIA (240 HOURS)

Foundation 32 Hours 0 Credits

Data Science

Essentials

Basics o f

Programming

Advance Excel & VBA

Maths & Tech 80 Hours

20 Credits

Optimization & Statistics

Econometrics

R database & SQL

Hadoop Spark

ML & AI 80 Hours

20 Credits

Python Natural Language

Progression

Web Analytics

ML Regression

Business Analytics 80 Hours

20 Credits

Real time

Application of Business Analytics

Theory Component for Each Technology: Key Characteristics | Key Players | Technology Stack | Key Trends

Application Areas :




course highlights Financial Aids available in the form of education loans and scholarships - 11 months post graduate certificate with paid internship, 480 hours course - Unique combination of interdisciplinary coursework and cutting-edge training by

N L Dalmia (240 hours) and SAS (240 hours).

- Program is only suitable for students with strong background in mathematical sciences

- Includes cutting edge tools in big data - Includes advanced topics in mathematics, statistics, OR & econometrics - Learn from the best minds with over 15+ years of industry & data science management experience - Guest lectures from eminent thought leaders and industry stalwarts - One of its kind exclusive opportunity to earn a Globally recognized Digital Batch from SAS

eligibility





Digital Marketing And Social

Media Analytics

Course Overview The Post graduate certificate in Digital Marketing is a career centric course launched by the institute which will prepare students to work in the

ever-growing domain.

Digital marketing as a field that is poised to lead marketing strategies, is

constantly evolving with each new social platform, mobile device or website

redesign while redefining a brand's strategy for reaching new audiences and

engaging current trends and changes.

The focus of the course will be to give emphasize on areas like Search Engine

Marketing (SEM, PPC) ,Website Planning & Creation, Content Marketing, Email

Marketing, Online Advertising, Social Media Marketing.

curriculum

TOPICS COVERED BY N L DALMIA

(240 HOURS)

Theory Component for Each Track :

Key Characteristics | Key Players | Technology Stack | Key Trends |

Regulatory Impact

Application Areas: Use Cases for

each Domain

Case Studies of Successful

Implementations: Start-ups in Each of These Technologies Present

- Search Marketing - User Generated Content Management And Marketing

- Predictive Modeling For Ad Targeting

- Randomized Experimentation

- Viral Product Design

- Mobile Advertising And Commerce

- Website Designing

- Ethical Hacking & Cyber Security

- Mobile Applications

- Ecommerce And Email Marketing

- Digital Strategy And Planning

- Digital Mining - Digital CRM Strategy in the age of Big Data and Digital Advertising

- Social Network Marketing

- Social Media Analytics

- Earned vs Paid Media

- The Multichannel experience

- Sentiment Analysis

- Data Visualization - Marketing Automation - Social Listening: Rating, Reviews

& Demand

their Success Stories Design Thinking Job Readiness Capstone Project

course highlights

Financial Aids available in the form of education loans and scholarships - 6 months Post graduate certificate with paid internship - Learn from the best minds with over 15+ years of industry & business analytics experience - Syllabus designed to make you Job Ready including Execution Experience with Live Projects

- Program is suitable for students with Science, Engineering, and

Mathematics & Commerce backgrounds

- Program includes an opportunity to be: • Certified Inbound Marketing Analyst • Certified Web Design & Mobile Applications Developer • Google Certified Analyst • Advanced Web Analyst

eligibility



Ashutosh Singh (Career Counsellor): +91 98205 55222

www.nldalmia.org Sanket Kondlekar (Career Counsellor): +91 98208 88333


information and cyber security

Course Overview N L Dalmia Centre for Excellence offers the first of its kind in India – A 6 months

post graduate certificate in Information and Cyber Security.

The course divided into three stages, gives the students a unique opportunity to

develop their careers in ethical hacking and cyber security. The course is a perfect

fit for students with a strong engineering/sciences background in computer

sciences and information technology. The course would holistically cover

everything right from the basics of penetration testing to cyber laws.

curriculum

Additional Material

THREE TRACKS

Theory Component for Each Track :

Key Characteristics |

Key Players |

Technology Stack | Key Trends |

Regulatory Impact

Application Areas :

Use Cases for

each Domain

Case Studies of Successful

Implementations:

Start-ups in Each of

These Technologies Present their

Success Stories

Plus :Job Readiness Capstone Project

Track I Certified Information

Security & Ethical Hacking

50 Hours 12 Credits

Phishing Techniques

Trojan attack and

countermeasure Hacking by Key loggers

Steganography and Ste analysis

Google Hacking

Buffer Overflow

Honeypots

Track II Certified Penetration

Testing Expert 70 Hours

16 Credits

Password Cracking

Privilege Escalation

Attack CSRF

Securing XSS Attacks SQL Penetration Testing

Blind SQL

Trojans, Virus and Backdoors Detection

Cyber Forensics

Track III Certified Cyber

Expert & Investigator 50 Hours

12 Credits

Cyber Crime and

Investigation

Criminal Tracking

Intellectual Property Theft

Crimes over

Mobile Phones Cyber Law & Consulting

Course highlights Financial Aids available in the form of education loans and scholarships - Program trains students to be Ethical Hackers / Security Experts - Program is only suitable for students with strong background in

Mathematical Sciences - Includes Certification in Information Security & Ethical Hacker

- Includes Certification in Penetration Testing Expert - Includes Certification in Cyber Expert & Invigilation

- Get 02 months of paid internship - Gain from industry collaborations and live projects

- Placement assistance offered

eligibility


- The institute will conduct NLD-SAT and personal interviews. - Verification for the academic qualifications from school to graduation will be done during personal interviews.

Ashutosh Singh (Career Counsellor): +91 98205 55222

www.nldalmia.org Sanket Kondlekar (Career Counsellor): +91 98208 88333

post graduate certificate in business

analytics, virginia tech, usa

Course Overview

The Virginia Tech Postgraduate Certificate in Business Analytics is an 11-month

program, organized into six sequential units of approximately two months each. In

each unit, you will take classes on different topics through both in-person and

online instruction. Upon completion of all requirements, students will obtain a joint certificate from Virginia Tech University and N L Dalmia Centre of Excellence.

Our classes are modular in approach led by a faculty member. Experts from

industry and academia assist the lead faculty members. Each unit is comprised of

in-person and online instruction. During the final three months, you are required to

determine and complete a business analytics solution for an identified problem in

a business domain of your choice.

curriculum

MODULE ONE MODULE TWO

- Fundamentals of Data

Management Systems

- Predictive Analytics Using Statistics

- Building Web Applications Using Python and Django

- Business intelligence: Data Analysis for

Structured Data

- Frameworks for Agile Software Development

- Enterprise Systems on the Cloud

- Machine Learning and Data Classifiers

- Big Data Technologies for Unstructured Data

- Social Marketing Analytics - Innovation and Entrepreneurship

- Data Security: Building Secure

Enterprise Platforms - Machine Learning Applications, lOT, Bitcoins

- Analytics for the Financial and Insurance Industry

- Business Ethics and Data - Building Innovative Systems with Data Analytics 1

- Building Innovative Systems with Data Analytics 2

advantages • Through classroom and clinical instruction, you will learn the contemporary technologies that make

machine learning, optimization, and statistical models relevant, accurate, and secure. • From cloud computing and agile techniques to business intelligence and quantitative methods, you

will explore the ecosystem of topics and learn the sophisticated technologies that will distinguish

you from your peers in the world of business analytics.

• A unique feature of this program is understanding the different facets of innovation from Jugaad -nimble and frugal- to high-impact, disruptive innovation. You will learn to build the

capacity to adapt and respond expeditiously to Black Swans-high-impact, hard to predict,

and rare events that are beyond the realm of normal expectations in history, science, finance

and technology. • Our globally renowned faculty in information technology, computer science, engineering and

business are ready to take you on this exciting journey along with select executives from industry

with the first-hand experience in deploying large-scale solutions in business analytics.

eligibility

- Bachelor’s degree in Engineering, CS, IT, IS, Business, Commerce - GRE, GMAT, CAT or other standardized scores desirable but not essential

- Evidence of 2 years experience in an IT related field preferable - Certified transcripts from your undergraduate program

why this

- Blend of on campus and online instruction from US faculty

- Guided by industry experts on projects - Learn from successful entrepreneurs


centre for excellence · Advanced Excel and VBA, Hadoop Spark, Python, ML regression, SAS Enterprise Miner, Data Mining etc. curriculum SIX TRACKS – STATISTICS & TECHNOLOGY BY SAS

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