Last Enrollment Date : 29th June'19

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Post Graduate Program in Data Science and Machine Learning

Program Highlights:
Mentorship Support, Resume Preparation

E 3

Post Graduate Program in Data Science and Machine Learning

This Post Graduate Program in Data Science and Machine Learning has a perfect blend of Technology, Data Science and Business cases and insights; it stands out to be among the best in the world. This uniquely blended Program is brought to you by Praxis, a Top-ranked Analytics B-School in India.

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INR 59,600

Premium Membership

Program Summary

  • 30 credits
    Credits

    With this course, you are 5 credits short of an assured placement.

    Learn more
  • Duration 1 Year
  • 212 Hours of online sessions
  • 90 Hours of projects/Assignments

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

Industry Connect - See what experts say about this program

  • We are elated by the program methodology, content, people and the platform of 361 DM which instills confidence in the quality of candidates emerging out of this program. As a techprenur, I look forward for such candidates who could partner in our growth


    -Praveen, Director, G Infotech

    This product is endorsed by Aaum Analytics.A company specialised in analytics with strong focus on research and technology

    CapGemini

    As an Industry person with over 20 years of experience,I have witnessed multiple training programmes and training providers.This program of 361DM stands out from all of them for the expertise of professionals delivering, the quality of the content and the engaging model of the platform.Truly Enriching!


    - VijayKumar, Senior Manager, CapGemini

Course Highlights

  • Online MBA in India

    Real-time Internship

    An internship allows you to apply classroom knowledge in real life situations. We help you find relevant work experience opportunities in organizations involved in Big Data Analytics.

  • Earn Your MBA Online

    Placement Support

    Our Placement Division helps our students meet companies that practice Big Data Analytics. Our Placement Division has positioned students in some of the top companies like Siemens, American Megatrends, Dell and HCL.

  • Online MBA in Finance Program

    Training Methodology

    This course involves several hours of Live Faculty session and recorded live session. It also has multiple guest lectures every month. Along with live classes, the course has industry catalyzers, opinion polls, observers and self-assessments.

  • Top Big Data MBA Programs Online

    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

  • Effective & Appealing 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.

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  • Highly Experienced Faculty for Big Data

    At 361 DM, we have a group of highly qualified faculty from IIT Kanpur and IIT Kharagpur. Our faculties have worked with PwC and IBM and have years of experience in pioneering several Big Data and Analytics projects globally.

    Big Data Online for Beginners
  • Certificate from Praxis Business School

    Praxis Business School, Kolkata, is a premier B-School whose courses are rated among India’s top two in Big Data and Analytics domain. It is one of the most trusted and influential management education institutions in India.

    Big Data programs in chennai
  • 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
  • Internship

    An internship allows you to apply classroom knowledge in real life situations. We help you find relevant work experience opportunities in companies that look for Professionals skilled in Big Data Analytics.

    Big Data for MBA Professionals Online
  • Placement Support

    Our Placement Support Entity helps our students meet companies that work with Big Data and Analytics. Our students have been placed in some of the top companies like Siemens, American Megatrends, Dell and HCL to provide meaningful placement support..

    Big Data Analytics for Techies 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
  • 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

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

About the Praxis

Praxis Business School, Kolkata, is a premier B-School whose courses are rated among India’s top two in Big Data and Analytics domain. It is one of the most trusted and influential management education institutions in India. Praxis Business School is motivated by the desire to generate business professionals who can partake in and add to the economic development of the country.

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Mentors

Congratulations! On choosing Post Graduate Progam in Data Science and Machine Learning Program, You get a Platinum Card Membership!!

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Course Details

Course Fee in INR Credits Premium Membership
Post Graduate Progam in Data Science and Machine Learning 59600 30 Platinum
Total Fees 59600

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