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Postgraduate Certification in Business Analytics (PGCBA)

Posted By Cluzter Ops3     July 20, 2020     624 views     0 likes    
₹260,000.00
XLRI – Xavier School of Management (XLRI-XSM OR XLRI) is a private Catholic business school run by the Society of Jesus (Jesuits) in Jamshedpur, Jharkhand, India. It was founded in 1949.XLRI offers flagship two-year MBA programs- Postgraduate Diploma in Business Management (PGDBM) and...  more

Overview

COURSE DETAILS:

With the advent of information technology, availability of data is no longer a problem. Business Analytics is about working with such unstructured data to converting it into a meaningful interpretation which helps in making better management decisions. In order to cater to the needs of the current market, XLRI has launched a new certification program. XLRI’s Post Graduate Certificate in Business Analytics is a 1-year program which provides the perfect base for professionals to master the art of analytics. The program focuses on providing an in-depth knowledge of business analytics techniques and frameworks and their application in business decisions. The scope of business analytics can be broken into three main areas; Descriptive analytics, Predictive analytics and Prescriptive analytics. In a nutshell, it is the simultaneous application of statistics, computer programming and operations research to achieve the required outcome. This programme is specifically designed

  • To help analytics professionals gain in-depth knowledge in various areas of analytics and gain managerial insights through data analysis

  • To transform analytics professionals into an exceptional, cross-functional leader who integrates all disciplines to achieve the organisation’s strategic goals with help of advanced analytics

  • To help face challenges and complexities in analytics field, thereby equipping those working in analytics field with the necessary skill-sets to adopt an appropriate course of action


COURSE CONTENT
On Campus Component 1 + Initial online sessions



  • Introduction to R

  • Introduction to Python

  • Spreadsheet Modelling & Power BI


Data Visualization and Descriptive Statistics

  • Various graphs, charts and basic statistical techniques including data properties (moments)


Statistics for Data Science

  • Hypothesis Testing

  • ANOVA

  • Discriminant Analysis

  • Factor Analysis

  • Principal Component Analysis etc.


Regression Techniques and Forecasting

  • Linear Regression Model

  • Discrete Choice Models

  • Logistic Regression

  • Multinomial Logistic Regression

  • Probit Regression/Demand Management and Forecasting


Data Mining

  • Data Analytics Life Cycle

  • Anomaly Detection

  • Association Rule Learning (Dependency Modelling)

  • Clustering/Classification/Regression/Summarization

  • Meta Analytics


Machine Learning

  • Neural Networks

  • Multilayer Perceptron (MLP)

  • Support Vector Machines (SVM)

  • Nearest Neighbour Algorithm (KNN)

  • Introduction to Artificial intelligence and Deep learning


Text Mining

  • Information Retrieval

  • Lexical Analysis

  • Pattern Recognition

  • Tagging

  • Annotation

  • Information Extraction

  • Natural Language Processing (NLP)


Analytics Applications (Covering a range of applications in the following domains)

  • Marketing

  • Finance

  • HR

  • Operations

  • Supply Chain Management

  • Digital Media Analytics


Prescriptive Analytics using Optimization and Simulation

  • LP Simplex

  • GRG and Evolutionary using Excel Solver

  • Simulation


Business Forecasting

  • Demand Management and Forecasting

  • Applications of Time Series Models [ARIMA, ARCH, GARCH] etc.


Big Data Analytics

  • Data Management in Big Data Era

  • Concept of Hadoop

  • Data Stream Analytics

  • Recommender System etc.


3-Month Capstone Project
COURSE PEDAGOG
The primary method of instruction will be through LIVE lectures that will be beamed online via Internet to participant devices like laptop or desktop. The pedagogy will comprise lectures, case methods, analytical exercises, group work, projects, term papers, assignments and dissertation imparted by XLRI’s faculty. Concepts will be explained using examples drawn from the real life. All enrolled students will also be provided access to the Cloud Campus through which students may access other learning aids, reference materials and assessments, case studies, projects and assignments as appropriate. Throughout the duration of the course, students will have the flexibility to reach out to the professors, real time during the class or offline via the Cloud Campus to raise questions and clear their doubts.


ELIGIBILITY:



  • Mathematics or Statistics as a subject in Class XII or Graduation with at least 50% marks

  • For Indian Participants – Bachelors in Engineering (10+2+4) or Graduates in Computers, Science, Commerce or Business (10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government).

  • For International Participants - Graduation or equivalent degree from any recognized University or Institution in their respective country

  • Minimum 2 years of relevant work experience in the field of analytics

  • Participant selection into the programme is based on elaborate selection process including validation of academic performance and work experience, submission of a Statement of Purpose (SOP), and a short online multiple-choice test. The multiple-choice test shall cover topics in Basic Mathematics and Statistics from Class XI and Class XII syllabus.


FEE STRUCTURE:
The total course fee is Rs. 3,00,000/- which can be paid in five instalments plus GST as applicable. The course fee is inclusive of books, study materials and the Campus Visit fee of Rs. 80,000/-.
CAMPUS VISIT:
Two Weeks long On Campus sessions near the commencement and culmination of the programme, at XLRI Campus in Jamshedpur.The participants are expected to stay in the campus for 11 days of rigorous campus learning, once at the beginning of the program for 5 days and once towards the end for 6 days. The exact date and schedule will be announced to the participants in advance so that they can arrange for their leaves from their respective organizations. During the period of their stay on campus participants need to participate in intensive classroom and group learning sessions.
CERTIFICATION, ASSESSMENT AND EVALUATION:
A minimum of 80% attendance to the LIVE lectures of each course within the program is a prerequisite for the successful completion of this program. In the event that attendance to the live lectures falls below 50% for any given course, participants will be required to repeat the course. There are periodic evaluations built in throughout the duration of the course. These maybe in the form of a quiz, assignment, term papers, project, case studies, dissertation or other objective/subjective assessments. The evaluations are designed ensure continuous student engagement with the course and encourage learning. The faculty members teaching their respective courses will choose the method of evaluation most appropriate to the material. An end term examination will also be conducted. Participants who successfully complete the same along with the requisite attendance criteria will be awarded a certificate of completion by XLRI.
CERTIFICATION:
After successful completion of this program, students will be conferred with "Postgraduate Certification in Business Analytics” directly by XLRI Jamshedpur. The student also have the opportunity to earn a specialization certificate in the area of their chosen elective provided they meet the qualifying standards of the elective and project in the area of elective.