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.


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



Important Dates


The program has rolling admissions with intake starting July 2018.

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

Batch Commencement: September 3, 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

Data Scientist

(80 hours)

Predictive

Analytics

Modeler(40

hours)

Business

Intelligence

Analyst(40

hours)

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(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


Click here  to download the course details


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(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.


Click here  to download the course details


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(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, analyse, and monitor events to meet an entity's requirements.


Click here  to download the course details


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 july 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: july, 2018

Batch Commencement: September 3, 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

Payment Details

Initial amount for registration: - Rs 10,000

Rest amount to be paid before the commencement of the classes

There are 2 ways of paying the amount :-

1. NEFT

LLoyd Business School

Bank - ICICI Bank

Omega I , Greater Noida

Account No - 218305000035

Ifsc Code- ICIC0002183

2. Paytm- 9873250790

For any further queries related to payments, please contact below

E.mail - account@lloydlawcollege.edu.in

Mobile – 9873250790