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CERTIFICATION IN APPLIED STATISTICS FOR DATA SCIENCE USING R/PYTHON 1 Industry Partners, Certifications & Collaborators Offered by In Collaboration with

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Page 1: CERTIFICATION IN APPLIED STATISTICS FOR DATA SCIENCE …lavasa.christuniversity.in/uploads/userfiles/Certificate... · 2021. 8. 8. · About the Program The Certification in “Applied

CERTIFICATION IN

APPLIED STATISTICS FOR DATA SCIENCE USING R/PYTHON

1

Industry Partners, Certifications & Collaborators

Offered by

In Collaboration with

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2

TABLE OF

CONTENTS

Page No. 3 Page No. 6

Page No. 10 Page No. 13

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01 PROGRAM COVERAGE

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About the Program

The Certification in “Applied Statistics for Data Science Using R and Python” is being offered by Christ University, in collaboration with industry partners/collaborators EduEdgePro Pvt Ltd.

This course takes to you to the actual knowledge of statistics implementation with R and Python with the help of their toolkits such as Pandas, Matplotlib, Scikit-Learn, Networks etc. to gain insight into their data. Simultaneously, you can master topics such as Descriptive Statistics, Distributions, Hypothesis Tests, ANOVA, and other important multivariate applications such as GARCH, Principal Component Analysis, Financial Time Series etc. in forecasting techniques.

This course includes training and certification for “SAS Statistical Business Analyst Professional Certificate” from SAS.

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PLATFORMS YOU WILL LEARN

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CERTIFICATIONS

ROADMAP

PROGRAMMING

ESSENTIALS AND

VISUALIZATION

FOR DATA

SCIENCE

APPLIED

STATISTICS FOR

DATA SCIENCE

USING

R/PYTHON

MACHINE

LEARNING AND

PREDICTIVE

MODELLING

FOR DATA

SCIENCE

APPLIED

BUSINESS

ANALYTICS

APPLIED BIG

DATA

ANALYTICS

12 3

4 5

Positioning of this certificate program in broader PG Diploma Program

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APPLIED

STATISTICS

FOR DATA

SCIENCE

USING

R/PYTHON

29

SAS Statistical Business Analyst Professional

CertificateFor individuals who want to analyze big data with a variety of statistical analysis and predictive modeling

techniques.

Successful candidates should have experience in the following areas:Machine learning and predictive modeling techniques.Application of machine learning and predictivemodeling techniques to big, distributed and in-memory data sets.

Pattern detection. Experimentation in business. Optimization techniques. Time series forecasting.

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038

COURSE CURRICULUM

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COURSE CURRICULUM

STATISTICS PRIMER

Module 1

• Statistics Primer Distribution Functions

• Dimensionality Reduction

• Principal Component Analysis (PCA)

• Linear Discriminant Analysis (LDA)

• Generalized Discriminant Analysis (GDA)

• Assignment

STATISTICAL METHODS,HYPOTHESIS TESTING

Module 2

• Hypothesis Testing and Applications

• Regression

• Statistical Methods - Z/ttests (One sample,

independent, paired),

• ANOVA, Correlation and Chi-square

STATISTICAL DATA ANALYSIS

Module 3

• Exploratory Data Analysis

• Descriptive Statistics

• Frequency Tables and summarization,

• Graphical Analysis

• Assignment

APPLIED ECONOMETRICS USING PYTHON

Module 4

• Webscrapping financial

• Forecasting models using GARCH

• Financial Time Series models

• Working with Financial Datasets

• Assignment

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1

INTRODUCTION TO STATISTICAL ANALYSIS: HYPOTHESIS TESTING

Module 1

• Descriptive statistics.

• Obtaining and interpreting sample statistics

using the UNIVARIATE procedure.

• Constructing confidence intervals.

• Performing simple tests of hypothesis.

REGRESSION MODELING FUNDAMENTALS

Module 2

• Performing one-way ANOVA with the GLM

procedure.

• Performing post-hoc multiple comparisons tests

in PROC GLM.

• Producing correlations with the CORR procedure.

• Fitting a simple linear regression model with the

REG procedure.

MORE COMPLEX LINEAR MODELS

Module 3

• Performing two-way ANOVA with and without

interactions.

• Understanding the concepts of multiple

regression.

MODEL BUILDING AND EFFECT SELECTION

Module 4

• Automated model selection techniques in PROC

GLMSELECT to choose from among several

candidate models.

• Interpreting and comparison of selected models.

MODEL POST-FITTING FOR INFERENCE

Module 5

• Examining residuals.

• Investigating influential observations.

• Assessing collinearity.

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INDUSTRY CURRICULUM

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1

MODEL BUILDING AND SCORING FOR PREDICTION

Module 6

• Understanding the concepts of predictive

modeling.

• Understanding the importance of data

partitioning.

• Understanding the concepts of scoring.

• Obtaining predictions (scoring) for new

data using PROC GLMSELECT and PROC

PLM.

CATEGORICAL DATA ANALYSIS

Module 7

• Producing frequency tables with the FREQ

procedure.

• Examining tests for general and linear

association using the FREQ procedure.

• Understanding exact tests.

• Understanding the concepts of logistic

regression.

• Fitting univariate and multivariate logistic

regression models using the LOGISTIC

procedure.

• Using automated model selection

techniques in PROC LOGISTIC including

interaction terms.

• Obtaining predictions (scoring) for new

data using PROC PLM.

INDUSTRY CURRICULUM

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04 PROGRAM DETAILS

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Program Coverage

This course takes to you to the actual knowledge of statistics implementation with R and Python with the help of their toolkits such as Pandas, Matplotlib, Scikit-Learn, Networks etc.

Industry-oriented curriculum

Industry focused curriculum offered in a flexible online blended interactive format that works for busy professionals

3-Months Weekend Program

The Program would be offered on the weekends to enable optimal learning to those participants who are working in the Industry

Blended Learning

The Program would offer an optimal blended mix of On campus bootcamp sessions, online sessions, self-paced sessions to maximize learning

Industry Partners

Our industry partners would provide you the appropriate domain and industry expertise to Statistics for Data Science challenges in the real world

Careers and Placement help

Our program would fast track your career progression Applied Statistics for Data Science through our dedicated Placement Assistance and Industry Networking

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PROGRAM

HIGHLIGHTS

PEDAGOGY

Project & Live Lab

The Project gives you the opportunity to apply Statistics for Data Science Using R and Python concepts

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PROGRAM

PARTNERS

One of the first institutions in India to be accredited in 1998 by theNAAC, and subsequently in 2004 and 2016, CHRIST University has thetop grade ‘A’ in the 4-point scale. It has consistently ranked among thetop ten for UG courses in surveys done by the India Today group,having specialized program offerings across Data Science, Analytics,Capital Markets, and FinTech.

The multi-disciplinary University which focuses on teaching researchand service offers Bachelors to Doctoral programs in Humanities,Social sciences, Science, Commerce, Management, Engineering,Education, and Law to over 25000 students.

United Nations Academic Impact (UNAI) membership has added ChristUniversity to the UNAI team of 1470 institutions in 146 countries, whoare working with the United Nations to promote global priorities,including peace, human rights, and sustainable development.

EDUEDGE PRO is an EdTech initiative, founded by Mr. Harjeet Singh, a

Stanford Alumnus and Financial Mathematician.

EduEdge Pro provides Skill Development and Skill Enhancement

education in specialized domains within BFSI, Data Science, Analytics,

FinTech, Capital Markets and Algorithmic Trading in order to bridge the

gap between academia training and industry needs and to provide

Upskilling.

EduEdge Pro conducts corporate training programs for leading global

investment banks, asset management firms, financial institutions,

exchanges and brokerage houses.

It works with leading educational institutions and universities in

providing end-to-end solutions such as Centre of Excellence, Financial

Research Lab and Specialization Curriculum Tracks.

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PROGRAM CHAIR

HARJEET SINGHProgram Chair

Harjeet has been a serial entrepreneur in

FinTech, EdTech and Capital Markets and is a

Financial Mathematician and Alumnus of

Stanford University. He has a rich and varied

experience in Global Markets & Risk,

Investment Management, Sales & Trading,

Algorithmic Trading, Quantitative Finance and

Management Consulting across international

financial institutions, banks, MNCs such as

Morgan Stanley, Nomura, Standard Chartered

Bank, Merrill Lynch and Accenture Consulting.

He is the Founder-Director, Global CIO and

Board Member of Stelios Asset Management,

a global Hedge Funds across India, Mauritius

and Dubai. He is also Founder-Director of

EduEdge Pro, a leading EdTech company. He

is a leading industry expert in Algorithmic

Trading, FinTech and Analytics. He also

consults the Ministry of Finance on matters

related to policy frameworks in Capital

Markets

DR SUNIL LAKDAWALAAnalytics Professional

He holds Ph.D. from Yale

University, USA(1982) and

M.Sc. from IIT-Bombay(1977).

He has specialized in the

areas of Business Intelligence

System (Data Warehousing

and Data Analysis Techniques

like OLAP, Data Mining) and

has a rich experience in

consultancy, project execution

and training in that area.

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Global ChartersHe has received the CFA, FRM, CAIA and PRM International chartersand is a member with international associations such as CFA Institute,Global Association of Risk Professionals (GARP), Chartered AlternativeInvestment Analyst Association (CAIA Association) and ProfessionalRisk Managers’ International Association (PRMIA).

Asset Management BusinessHe is currently the Global CEO, CIO and Board Member of SteliosAsset Management Pvt Ltd. Founded in 2019, STELIOS AssetManagement has received Series A international VC funding forsetting up global Hedge Funds as well as onshore/offshore India-focused Hedge Funds. He has received Investment Manager licencesto start hedge funds across India, Mauritius and Dubai. He holds aSEBI-registered AIF CAT III license for a long/short Equity fund in India.

Consultant to Ministry of FinanceHe is also consulting the Department of Economic Affairs – Ministry ofFinance in Capital Markets Policy Formation.

EdTech InitiativeHe is the Founder-Director at EduEdgePro Pvt Ltd. EduEdgePro is anEdTech initiative, founded by Harjeet as part of a Family officeinitiative. EduEdgePro provides Skill Development and SkillEnhancement in BFSI and Analytics in order to bridge the gapbetween academia training and industry needs. It runs B2B programswith leading corporates and educational institutions/universitiesacross India. EduEdgePro has conducted specialized domain trainingsessions in Capital Markets and Analytics for Exchanges, Regulators,Asset Management firms, Banks, Financial Institutions, Universitiessuch as Securities and Exchange Board of India (SEBI), MultiCommodity Exchange (MCX), National Stock Exchange (NSE), InvescoAsset Management, Prudential Asset Management, JP Morgan AssetManagement, Nomura, Morgan Stanley, Christ University andNational Institute of Securities & Markets (NISM).EduEdgePro has collaborated with industry partners such as Moody’sAnalytics, Bloomberg, CISI and MCX to provide industry-relevantcertification training and programs.

FinTech InitiativeHis other firm, QRAC Pvt Ltd, is an Indian FinTech company, foundedby Harjeet as part of a Family office initiative. QRAC houses aQuantitative Investment Research division that specializes in buildingQuantitative Investment Strategies across global equities,commodities, currencies and fixed income for Institutional Advisoryportfolios.

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ELIGIBILITY CRITERIA

EDUCATION

10+2 aspiring candidates of any

educational background with an

analytical frame of mindset are

most suited one to pursue

Applied Statistics for Data

Science using R and Python

certifications.

WORK EXPERIENCE

Work experience is not

mandatory.

However it is desired that

you have internship or full-

time experience so that you

can move up the learning

curve faster through prior

industry domain knowledge.

PROGRAMMING EXPERTISE

It is not required to have a

Programming background,

although desirable.

However, those without

Programming background

will undergo Pre-requisite

training on Programming to

accelerate the learning

when the Program begins.

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SELECTION &

ADMISSION PROCESS

Application ProcessThe Application process consists of a few simple steps as shown below. An offer of admission would be made to the selected candidates and accepted by the candidates by paying the admission fee.

We have a dedicated admission counsellor who are here to help guide you in applying to the program. They are available to:• Address questions related to

application.• Assist with Financial Aid (if

Required)• Guide career role and

opportunities after certified.• Help you to understand the

program detail and pedagogy.

STEP 1PROGRAM

COUNSELLING

• Complete your application to kick start the admission process.

• Rate your various skills of OOPs language, quantitative and logical ability.

• Submit application fee: ₹ 500/-

• Submit the form successfully and scheduled your interview with us.

STEP 2APPLICATION PROCESS

• Interview is with admission committee, who will review the candidate profile.

• Selection will be determined on the basis of academic records, work experience, test scores and interview.

• Upon qualifying a confirmation letter for admission to the PG Diploma in Data Science will handover to the candidate.

STEP 3INTERVIEW PROCESS

ProgramCounselling

Application Interview Documentation Payment Processing

Confirmation

1 2 3 4 5 6

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Application ProcessThe Application process consists of a few simple steps as shown below. An offer of admission would be made to the selected candidates and accepted by the candidates by paying the admission fee.

ProgramCounselling

Application Interview Documentation Payment Processing

Confirmation

1 2 3 4 5 6

After interview on the basis of confirmation letter , the required papers mentioned inthe mandatory list of

documents as per eligibility criteria. You would be required to submit your marksheets, education certificates, work experience proofs amongst other necessary documents.

STEP 4DOCUMENTATION

Block your seat with the initial amount of fees and begin with your prep course and start your Data Science journey.

Full or annual program fee to be deposited within 1 week of offer letter / program start –whichever is earlier.

STEP 5PAYMENT PROCESSING

Your admission will be confirmed basis the selection procedure,document authenticationand fee payment.

A welcome letter, ID card, student number and portal access will be shared upon successful completionof the admission process.

STEP 6CONFIRMATION

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SELECTION &

ADMISSION PROCESS

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PROGRAM

FEES

PROGRAM FEEApplication fee: INR 500 plus GSTIndian participants: INR 50,000 plus GSTInternational participants: USD 2500 plus taxes

FINANCING OPTIONSPlease get in touch for further details

SCHOLARSHIPSExisting Christ students and Alumnus: AvailableOther participants: Available on outstanding merit record

CORPORATE DISCOUNTSAvailable on nominations of 2+ participantsKindly contact us for further details

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