certification in applied statistics for data science...
TRANSCRIPT
CERTIFICATION IN
APPLIED STATISTICS FOR DATA SCIENCE USING R/PYTHON
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Industry Partners, Certifications & Collaborators
Offered by
In Collaboration with
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TABLE OF
CONTENTS
Page No. 3 Page No. 6
Page No. 10 Page No. 13
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
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4 5
Positioning of this certificate program in broader PG Diploma Program
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APPLIED
STATISTICS
FOR DATA
SCIENCE
USING
R/PYTHON
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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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COURSE CURRICULUM
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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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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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
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
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.
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.
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
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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
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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