Specialized Job Assured Program
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INR 149000

No Cost EMI of Rs. 18690 per month learn more

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Program Summary

  • 30 credits
  • Duration 11 Months
  • 220 Hours of online sessions
  • 90 Hours of class room sessions
  • 20 Hours of projects/Assignments

Specialized Job Assured Program offered in Collaboration with IIKM

The Program is exclusively launched by 361DM in collaboration with IIKM- A++ rated B-School. It is specially designed and developed based on real job role analysis in the industry. On the successful completion of the Program, the learners receive certificates issued by India’s top Analytics B-Schools: Praxis and IIKM. The specialized Job Assured- blended learning program focuses on three main domains: Industrial knowledge, Hands on practical experience and Employment efficiency. The blended session broadens the learner experience.

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Modules

Big Data 101

Big Data Characteristics

  • Volume
  • Variety
  • Velocity
  • Veracity
  • Valence
  • Value

Big Data and Business

Data Relationships and Data Model

  • One-to-one relationship
  • One-to-many relationship
  • Many-to-many relationship
  • Flat model
  • Hierarchical model
  • Network model
  • Relational model
  • Star schema model
  • Data vault model

Data Grouping

Clustering Algorithms

  • partitioning
  • hierarchical
  • grid based
  • density based
  • model based

Getting ready for Clustering Algorithms

Clustering Algorithms – UPGMA, single Link Clustering

KPIs, Businesses & Data Elements

Mapping for business outcomes

  • Define the pain point
  • Define the goal
  • Identify the actors
  • Identify the impacts
  • Identify the deliverables
  • Creating your impact map

Basic Query

Advanced Query – Embedding

Mathematics Modelling

Introduction to key mathematical concepts

  • eigenvalues and eigenvectors

Application of eigenvalues and eigenvectors

  • investigate prototypical problems of ranking big data

Application of the graph Laplacian

  • investigate prototypical problems of clustering big data

Application of PCA and SVD

  • investigate prototypical problems of big data compression

Coding in DB Environment

Making Data Sets

Statistics 101

Introduction to Statistics

Introduction to Statistics – II

Measures of Central Tendency, Spread and Shape – I

Measures of Central Tendency, Spread and Shape – II

Measures of Central Tendency, Spread and Shape – III

R Programming

R Programming

Introduction to R – I

Introduction to R – II

Common Data Structures in R

Conditional Operation and Loops

Looping in R using Apply Family Functions

Creating User Defined Functions in R

Graphics with R

Advanced Graphics with R

Hadoop

Introduction to Big Data and Hadoop

Introduction to DBMS systems using MySQL

Big Data and Hadoop EcoSystem

HDFS

Unix & HDFS Hands-on

Map-Reduce basics

Map Reduce Advanced Topics and Hands on

Pig introduction and Hands on

Pig Scripting

Hive Introduction, Metastore, Limitations of Hive

Comparison with Traditional Database and HIVE scripting

Hive Data Types, Partitioning and Bucketing

Hive Tables (Managed and External)

Hive Continued

Scoop Introduction and Hands-on

Introduction to NoSql and HBASE

HBASE architecture and Hands-on

Access Methods

Big Data with Spark and Python

Python

Understanding Basics of Python

Control Structures and for loop

Playing with while loop | break and continue

Strings and files

List

Dictionary and Tuples

Data Mining 1 - Machine Learning with R & Python

Introduction to NumPy

Introduction to Pandas

Slicing Data

Exploratory Data Analysis

Exploratory Data Analysis (Continue)

Missing Value Imputation and Outlier Analysis

Linear Regression Motivation

Linear Regression optimization objective

Linear Regression in Python

Introduction to Regression Tree

Introduction to Classification Tree

Measures of Selecting the best Split

Cluster Analysis – Hierarchical Clustering & k-Means Clustering

Customer segmentation in Telecom Industry using Cluster Analysis

k-Means clustering

Association Rules mining

Market Basket Analysis

Data Mining 2 - Advanced Machine Learning with R & Python

Sources of Error (Irreducible error, bias and variance)

Formally defining the 3 Sources of Error

Linear Regression – Multicollinearity (VIF)

Qualitative Predictors – Use of Dummy Variables

Observing overfitting in Polynomial Regression

Regularized Regression (L2 – Regularization) – To avoid overfitting

Regularized Regression (L1 – Regularization) – Feature selection using regularization

Regularized Regression – How does regularized regression handles multicollinearity?

Decision Tree – Pruning

Bagging Models

Designing your own Bagged Model

Random Forest

Boosting (Ada Boost)

K Nearest Neighbour – Concept. kNN algorithm for k=1 and k>1

Writing a K Nearest Neighbour algorithm from scratch

Comparison of kNN with Linear Regression; Difference between kNN and kMeans.

Revision of basics of Linear Algebra

The Theory of dimension reduction

Practical – Compressing an image file [Practical using R Software]

Practical – Compressing an image file [Practical using R Software] (Continue)

RDBMS with SQL and DWH

Introduction to DBMS / RDBMS

Data Modelling

Physical Data Model

Getting Started with SQL Lite

DDL

DML

Introduction to Data Warehousing

Dimensional Modelling

Advanced SQL

Olap Cubes

Olap Cubes Practicals

Artificial Intelligence & Deep Learning - Industry Practices

About IIKM

IIKM is acclaimed as the first B-School in Chennai, Tamil Nadu and Kerala (India) which has tie up with Global IT vendors - Microsoft & SAP for high-end ERP training. Its sprawling high-tech campuses have been certified by the joint Accreditation system of Australia and New Zealand for ISO 9001:2008.

MBA International Business Online

Mentors

Testimonials

Course Highlights

  • Online MBA in India

    Blended Learning

    The course will be conducted 70% online and 30% offline. The students will have extensive online training sessions conducted by global top-class mentors as well as offline classes conducted at IIKM branches located in Chennai and Calicut, every alternate Sundays.

  • Earn Your MBA Online

    Training Methodology

    This course involves several hours of Live Faculty session and recorded live session. It also has multiple guest lecturers. Along with live classes, the course has industry catalyzers, opinion polls, observers and self-assessments. The students will have a classroom training sessions at IIKM branches in Chennai & Calicut on alternate Sundays, taken by the top-notch mentors at IIKM.

  • Online MBA in Finance Program

    Capstone Projects

    During the course, the students pursue autonomous research on a question or problem of their choice, involve with the academic learning in the related disciplines, and - with the supervision of a faculty and industry mentor - produce a significant paper.

  • Online Big Data for Professionals

    Industry Connect

    We connect you with industry leaders who play a major role in the Data and Analytics Domain. Connecting with such people can help you in job hunting, career networking and professional progress.

  • MBA Programs Online in Ebusiness

    Learn through Case Studies

    Case studies help you to emphasize detailed contextual examination of a restricted number of events or circumstances and their relations. It helps in obtaining in-depth info about an individual, group, or occurrence.

Key Features of the Program

  • Industry Integrated Content

    We offer a unique combination of research-led futuristic pedagogy and globally benchmarked content. Our modules are backed by extensive research which has made our education system both appropriate and exciting for our learners.

    Distance Learning MBA in E-Business
  • Education Loan

    Good Education ensures good future. We ensure your financial needs are taken care of as you move ahead in getting educated to build an awesome career. You can always apply for an Education Loan to join select courses.

    Big Data for Beginners
  • Certificates from Praxis and IIKM B-Schools

    After the completion of the Program, the learners are jointly certified by 361 Degree Minds, Praxis B-School and IIKM

    Big Data programs in chennai
  • Dedicated Support Team

    We have a dedicated team to support you throughout the course – from the application to the certification! You can reach us whenever there is any need for assistance, just at the click of a button.

    Big Data Analytics for Freshers Online
  • New Age Learning Platform

    The i-meta platform of 361 DM, enabled with unique augmented and virtual reality-led classes allow mobile learning i.e., you can learn anytime and anywhere. You can also learn by downloading the 361DM App in your smartphone. Our platform facilitates group discussions, learning resources, performance records, post-class assessments, e-library, and opinion polls during classes.

    Big Data Analytics Training for Engineers

Outcome of the Program

Post Graduate Program in Data Science is one of the key requisites in any large organization. The time is at its best for someone to take up a career in this domain. Enormous opportunities and extreme dearth in getting candidates force large organizations go helter-skelter. It is imperative that career seekers grab this opportunity.

Big Data Analytics for Techies

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