Why Study Business Analytics?


The Executive Program in Business Analytics (Weekends Only) is delivered in a blended learning format that causes minimum disruption to work schedule for working professionals. It is designed to provide in-depth knowledge of business analytics techniques and their applications in improving business processes and decision-making.

- Satya Nadella


For more information, visit www.ibm.biz/ibmskillsacademy



Important Dates


The program has rolling admissions with intake starting April 2018.

Interested candidates need to fill up an online application form to begin the admissions process.

Batch Commencement: July 15, 2018 (tentatively)

Offered Courses

The Executive Program in Business Analytics (Weekends Only) is delivered in a blended learning format that causes minimum disruption to work schedule for working professionals. It is designed to provide in-depth knowledge of business analytics techniques and their applications in improving business processes and decision-making.



Specialization

Course II (80 hours)

Data Scientist

Course III (40 hours)

Predictive Analytics Modeler

Course IV (40 hours)

Business Intelligence Analyst

Delivery Format

Classroom sessions in specially designed IBM Business Analytics Lab at Lloyd plus online sessions

Program USP

Weekend Program

Expert Faculty from IBM

Competent Course Structure designed by IBM

State of the art -business analytics lab

Eligibility

Graduate in any discipline

Certification

IBM

Registration

The organizations interested in nominating their employees and individuals interested in the programme may apply online and avail scholarships

a. Data Scientist [Course II (80 hours)]

The Data Scientist career path prepares students to use the Big Data platform and data governance in order to efficiently store and manage massive amounts of data. This will require skills in Big Data architecture, such as Hadoop, Map Reduce, Hbase, Big SQL and BigSheets. The Data Scientist will use tools to capture, store and analyze structured and unstructured data.


Learning Module I

Learning Module II

Learning Module II

Data Management Overview

Big Data Foundation

Data Scientist

Data Overview,

Industry Applications,

Case Studies

Understanding Big Data

Hadoop architecture and administration

Big Data platform and data governance

Big Data architecture

Storing and processing data with Hadoop

Creating data using HDFS and GPFS

Data distribution and storage with MapReduce

Hadoop Query languages (Pig, Hive, Jaql)

Distributed storage system with Hbase and NoSQL

Queries using BigSQL

Analyze structured and unstructured data with text analytics

Application Development Lifecycle

Associated Job Roles
Data Engineer
Business Intelligence Analyst
Watson Cognitive Specialist


b. Predictive Analytics Modeler [Course III (40 hours)]

The Predictive Analytics Modeler career path prepares students to learn the essential analytics models to collect and analyze data efficiently. This will require skills in predictive analytics models, such as data mining, data collection and integration, nodes, and statistical analysis. The Predictive Analytics Modeler will use tools for market research and data mining in order to predict problems and improve outcomes.


Learning Module I

Learning Module II

Learning Module II

Analytics Overview

Business Analytics Foundation

Predictive Analytics Modeller

Business Analytics Overview, Trends, Case Studies

Understanding Business Intelligence and Analytics

Introduction to Data Mining CRISP-DM

Nodes and streams

Initial data mining, storage and field

measurement

Understanding the data (valid and invalid values)

Integrating data (methods, options, merging, and sampling)

Deriving and reclassifying fields (CLEM)

Looking for relationships (matrix, distribution, means, histogram, statistics and plot)

Functions (conversion, string, and statistical)

Data transformation

Statistical, graphical and sample nodes

Automated data mining and modeling

Predictive models and customer segmentation

Associated Job Roles
Business Intelligence Analyst
Security Intelligence Engineer
Watson Cognitive Specialist


c. Business Intelligence Analyst [Course IV (40 hours)]

The Business Intelligence Analyst career path prepares students to learn the essential reporting software's to create management reports. This will require skills in reporting applications such as Data Filters, Data Graphics, SQL, HTML, and structured and unstructured data. The Business Intelligence Analyst will use tools to create reports, analyze, and monitor events to meet an entity's requirements.


Learning Module I

Learning Module II

Learning Module II

Analytics Overview

Business Analytics Foundation

Business Intelligence Analyst

Business Analytics Overview, Trends, Case Studies

Understanding Business Intelligence and Analytics

Business Intelligence Overview

Reports and

Metadata models

Introduction of Reporting Application, List Reports and Crosstab Reports

Advanced data filter

Data graphics (charts, numerals, visualization)

Parameters and prompts

Query models and relationships (using SQL)

Advanced dynamic reports

Data sorting using effective prompts

Report distribution through Bursting

Data user interaction with HTML

Structures and unstructured data

Associated Job Roles
Predictive Analytics Modeler
Data Scientist
Data Engineer

Admission Process

a. Eligibility

   Graduate in any Discipline

Fees (Introductory Price for First Batch Only)

Course II – Data Scientist: Rs 65,000/-

Course III – Predictive Analytics Modeler: Rs. 35,000/-

Course III – Business Intelligence Analyst: Rs 35,000/-

Important Dates

PGDM in Business Analytics has rolling admissions with intake starting April 2018.

Interested candidates need to fill up an online application form and shortlisted candidates need to appear for a selection procedure at Lloyd Business School.

Interview Commencement: May, 2018

Batch Commencement: June 1, 2018

For Queries Contact :

The Admission officer

Lloyd Business School

Plot No.11, Knowledge Park 2, Greater Noida,

Delhi-NCR, U.P - 201306

Phone: +91 – 987-325-0790, 982-189-1830

E-mail: ibm.businessanalytics@lloydcollege.in