Shaping Future Leaders
Bangalore Chennai KochiApril 24 - October 10, 2021
CERTIFICATION IN
BUSINESS ANALYTICS
Analysis with Precision
XIME & Tata Consultancy services ( TCS ) have entered into an MoU and designed this 18 credit
program. This program offers a specialisation module as per participant's choice in building
their respective domain expertise - Marketing, Supply Chain, Finance & HR.
usinesses have been embracing digitalization with the proliferation of the internet
and information technology. This adoption however has accelerated in recent times,
B
to mitigate the standstill that the pandemic brought on Enterprises. With the fast
paced and ever changing dynamics in the marketplace, analytics is increasingly becoming the
decision making tool for Enterprises to remain agile.
The course combines data, information technology, statistical analysis, quantitative methods
and computer-based models into one comprehensive foundation course that gives a launch
pad to career aspirations in the analytics domain.
Program Outcomes
After completion of this course, the participants are expected to be skilled at:
Translating a business problem to an analytics problem, and solve it subsequently.
Demonstrating domain knowledge in chosen field of specialization - Marketing, Supply chain, Finance & HR
Using Python and other analytics tools on case-to-case basis.
Handling structured and unstructured data. Armed with the above skills and backed with foundational knowledge of Machine learning and NLP concepts, this course will prepare them to face Business Analytics interviews in the chosen specialization with the industry.
Course Delivery
The course will be delivered in online mode. There will be sessions on Saturdays & Sundays and each lecture session will be of 70 minutes duration. Total interactive sessions will be 8.5 hours per weekend. PC with latest windows software and zoom client installed is a prerequisite.
Who should attend?
Professionals who aspire to join or boost a career in the field of business analytics.
Academicians interested in upgrading their skill-sets in the field of business analytics.
Candidates pursuing their post-graduation in engineering, commerce, management, mathematical sciences, computer application and economics
Enterprises looking to augment business revenues & efficiencies.
Note: Knowledge of MS Excel is a pre-requisite. Knowledge of basic statistics, probability, programming will be an added advantage
Course Pedagogy
The course will be delivered in the form of lecture sessions, hands-on lab sessions, DIY sessions, and case based discussions.
Assessment
The course will have periodic evaluations. The evaluations will be in form of quizzes, assignments, presentations, mini projects and other objective/subjective assessments. The periodic evaluations are aimed at creating a suitable environment for student engagement and for boosting experiential learning process. Certificates will be awarded to course participants who successfully complete all the academic requirements and have the necessary attendance criteria (80% attendance).
Curriculum
Basic Statistics: Data and data types, Exploring data using graphs and heat.
Exploring Data Using Summary Measures: Central tendency measures, Dispersion, Skewness, Correlation analysis
Probability and Probability Distributions: Conditional probability, Discrete and continuous distributions, Mixed distributions, Bernoulli distribution, Uniform distribution, Binomial distribution, Normal distribution, Poisson distribution, Exponential distribution
Statistical Inference Procedures: Estimation and testing of hypothesis – t test, z-test, ANOVA
Foundation
of Business
Analytics
Module I – 3 Credits (36 Hours)
Introduction to Python: Data structures, Basic operations and data types, Operations of vectors, Matrices and data frames - dealing with missing values, finding summary, slicing, indexing, sorting, grouping, aggregation, deduplication, outlier detection and removal; Quartile method – Data manipulation and cleaning, data visualizations
Relational DBMS/ SQL/ SQLite3 Package/ Machine Learning Libraries on Cloud: SQL Programming to include ER Diagrams, Joins, Grouping and Filtering
Introduction to data warehousing and data Management: Big Data, Cloud platforms, Data quality methods, Data lineage, Data governance
Data
Analytics I
Analytics Tools
Module II – 3 Credits (36 Hours)
Introduction to descriptive, predictive and prescriptive analytics supervised and unsupervised learning algorithms and Reinforcement learning algorithms.
Descriptive Analytics
Introduction to Tableau, Creating basic visualizations, Tableau desktop UI, Connecting data, Filtering and sorting data, Creating groups and hierarchies, Data functionality, Mapping, Heatmap and highlight tables, Dashboards and actions, sharing your work, Projections in 3D.
Mini Project on Data Visualization using real Benchmark data. (not randomly generated data)
Data
Analytics II
Introduction
to core of
Data Analytics
A. Predictive Analytics
Regression: Linear regression, Logistic regression, Polynomial regression, Bayesian linear regression.
Classification Algorithms: KNN, Decision trees and Random forest, Rotation forest algorithms, Association rules algorithm, Churn analysis.
Clustering: K-Means clustering, Hierarchical clustering, DBScan, COBWEB B. Prescriptive Analytics & Optimization Techniques.
Decision making process: Decision making under certainty, risk and uncertainty.
Mathematical Modeling: Linear Programming Problems (LPP): Mathematical
formulation, Graphical solution, LPP with more than two variables - Simplex method, Transportation model, Assignment model.
- Introduction to Integer programming, Mixed-Integer programming - Game theory, Queuing theory
- Meta heuristics - Genetic algorithm, Simulated annealing
- Simulation – Introduction, Random number generation, Monte Carlo simulation
Predictive
&
Prescriptive
Analytics /
Optimization
Techniques
Module IV – 3 Credits (36 Hours)
Feature Selection Techniques: Statistical and ML based feature selection, Feature extraction approaches, PCA and its applications.
Evaluation of classification and prediction performance: Confusion matrix and derived metrics, Different strategy for Data Split for training and testing – K-Cross Fold validation, Percent split, Stratified split.
AI applications Speech to text and vice versa: Introduction to Chatbots and applications, Computer vision algorithms and applications.
Ensemble methods and its development: Bagging, Boosting, Voting, Stacking mechanisms.
Natural Language Processing (NLP): Text extraction/processing - tokenization, stemming, lemmatization, TF-IDF, Word Embedding and applications.
Module V – 3 Credits (36 Hours)
Advance
Predictive
Methods
and NLP
Business related critical thinking and problem solving in domains of Marketing Analytics, Supply Chain Analytics, Human Resources Analytics & Financial Analytics
- Marketing Analytics - Supply Chain Analytics - Financial Analytics - HR Analytics
Module VI – 2 Credits (24 Hours)
Elective
Specialization
As a part of this course each student must do a project in a specific domain of interest. Real world use case implementation related to specific domains. The dataset used and the project done should be a full stack development based on real world dataset – you may use python library: Retail, Banking, Finance, HR, Supply Chain, Web Analytics.
Introduction to Productionizing ML Models - Save model files (pickle file, h5, model files) Dockerizations, Kubernetes, Monitoring ML Models- MLflow.
Module VII – 3 Credits (36 Hours)
For further details, please contact:
Meena Benjamin -
Manager - External Programs,
Mob: 94470 84986 / email: [email protected]
Rs. 48,000
(Inclusive of GST)
Bank Account Details
Account Name
XIME
Bank
South Indian
Branch
Kalamassery
Account No.
02240530000 26911IFSE Code
SIBL0000224
Faculty
Faculty for the program will be resources from both academia and industry with respective
domain specialisations. They will also guide participants through their capstone projects. The
Anchor faculty for the programme in 2021 are Dr. Elizabeth Devasia & Dr. Vishnu CR.
Dr Elizabeth Devasia,
(Senior Assistant Professor, XIME Kochi)
Dr. Elizabeth took her PhD in Marketing from IIT Madras. Though she started her
career in academics, she was lured by the love for databases and analytics and
hence moved into Analytics as an Associate Consultant with Fractal Analytics.
Her work involved designing solutions for some of the largest Fortune 500
companies from across the globe. Some of her assignments involved
developing text mining based solutions for organisations including one of the
largest banks in India and a leading retailer in the USA. Over and above this stint
in the industry, she has also been in academia for nearly a decade.
Dr. Vishnu CR (Assistant Professor-Production & Operations Management, XIME
Kochi. )
Dr. Vishnu obtained his B. Tech Degree in Mechanical Engineering from AWH
Engineering College Calicut with Honours . A Kerala University topper, he holds
an M. Tech. Degree in Industrial Engineering from the College of Engineering
Trivandrum (CET). He also holds a PhD in Industrial Engineering & Management
from NIT Calicut. His current research interests include supply chain risk
management, operations research, reliability engineering, manufacturing
systems management, quantitative techniques and statistics. Right now, he is extending his
abilities in techniques like data analytics and machine learning to solve unique and interesting
problems in operations management.
Payment in two installments of
Rs. 28,000 & Rs 20,000
About XIME
XIME is one of the top B-schools of India with campuses in Bangalore, Chennai and Kochi. Our
vision is to be a globally reputed business school with a mission to contribute to nation building
by providing a steady stream of competent, value-driven and globally oriented managers. The
institution was founded in 1991 by a group of academicians led by Prof. J. Philip, a former
Director of IIM-Bangalore and a former Dean of XLRI.
XIME's flagship program is its two-year PGDM, whose students have consistently been placed
in reputed companies across India and abroad. XIME has strong ties with leading institutions in
France, Germany, Italy, USA, Brazil, China, Russia and South Africa. The institution enjoys
accreditation by ACBSP (USA) for excellence in education. XIME is also associated with India's
premier management school, XLRI - Jamshedpur. XIME's Kochi campus was established in the
year 2013, offering a PGDM program with specializations in Finance, Marketing, HR and
Operations. Seven batches of XIME Kochi have since graduated with a near 100 per cent
placement record. With the academic rigour cultivated and nurtured at the institute, it is now
a Centre of Excellence for management education in Kerala.
