Professional Certificate Program in Big Data Technologies

This Professional Certificate Program on Big Data Technologies is designed to help you build a thriving career in the hot domain of Big Data and Business Analytics. This is a career centric course and is specially curated to make you a professional in this industry.

  • Become skilled in all three focus areas: Technology, Business Cases and Data Sciences.
  • Become proficient in distributed file system (HDFS) and MapReduce (Data Processing): These are platforms and programming models within the Big Data Hadoop Architecture.
  • Learn Pig, Hive, Oozie, Zookeper: These are independent data analysis tools that are used to simplify access and processing of data stored in the Big Data Hadoop cluster.
  • Duration: 3-6 months
  • Learning Mode: Faculty-led online
  • Eligibility: BE, BTech (CSE, ECE,EEE, IT), MCA, MSc (CS, IT, CA)
  • 35,000

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

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

Mentors

Has spent two decades in the corporate world in areas as diverse as Cryogenics, Steel, International Trade, Consulting and IT with organizations such as British Oxygen, Tata Steel, PwC and Compaq-HP. He has taught at the University of Iowa and has been a visiting faculty at IIM Lucknow, IIM Raipur, IIM Udaipur, IIM Shillong.

Charanpreet Singh

BTech (IIT Kanpur), MBA (University of Iowa), Co-Founder and Associate Dean - PRAXIS

He has worked as an online SAS trainer at Wireclass and provided online analytics training in U.S.A. and U.K. He worked as a Professor of Data Mining, Data Visualization and Advanced Analytics at iNurture Education Solutions Pvt. Ltd after which he has joined Praxis Business School as an Assistant Professor of Business Analytics.

Gourab Nath

MSC (WB State University)

Comes with an experience of 27 years delivering Management and IT consulting services in large organizations like (PwC) and CMC Ltd. He was a partner in the Management Consultancy Business at PwC and led large software projects in India and abroad.

Jaydeep Mukherjee

BTech (IIT Kharagpur), MTech (ISI Kolkata)

Suresh Krishnaswamy (popularly known as Sky) heads our Big Data & Business Analytics Center of Excellence. Sky has rich experience of over 26 years ranging from IT consulting, transition, transformation,applications development, to strategy making and business analyses with leading global IT and Consulting services companies in India and abroad.

Suresh Krishnaswamy

Head - COE - Big Data and Analytics

Has close to 2 decades of industry and 5 years of teaching experience. Has worked as Senior Scientist at TCS Innovation Labs after stints with Akamai Technologies, ONGC and Hindustan Motors. His areas of interest include Advanced Statistical Modeling, Data Mining, Graph Theory, Discrete Math and Internet Technologies.

Jaydip Sen

B.E (Jadavpur University), M.Tech(ISI, Kolkata); Pursuing PhD in Information Privacy in IoT

He is listed as one of the 10 prominent analytics academicians in India by Analytics India Magazine.Has spent nearly two decades in the IT, software and management consultancy business and has worked in Tata Steel, Tata IBM, PwC, where he was a partner and in IBM where he was the head of the Kolkata Delivery Centre.

Dr. Prithwis Mukerjee

B.Tech (IIT Kharagpur), M.S., Ph.D. (University of Texas at Dallas) Program Director - Business Analytics

Has been one of the most prominent market researchers of the country in the last decade and has worked in the top three multinational MR agencies of India - The Nielsen Company, TNS and IMRB International for 13 years in different functional and leadership roles. He was Associate Director at Nielsen and Group Business Director at IMRB International.

Prasenjit Das Purkayastha

M.Sc (J.U); PGDM (Goa Institute of Management)

Has worked in the industry for 4 years in Planning and Operations at HPCL prior to joining academics. He is actively involved in corporate training and has successfully completed training sessions on Data Mining processes in organizations like Abzooba, Infosys, TCG, ICICI Bank.

Subhasis Dasgupta

B. Tech (NIT, Surat); MBA (IBS); Research Scholar (IIM Ahmedabad)

Demo of a live session

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.

Course Key Features

Career Benefits

An increasing number of organizations today are looking for ways to exploit the power of Big Data. There is a surge in demand for Big Data Professionals but the number of skilled professionals is shockingly limited. Get skilled with our Professional Certification Program in Big Data Technologies to make the most of this growing opportunity today.

Mentioned below are the career choices available to a Big Data Expert:

  • Big Data Analytics Business Consultant
  • Big Data Analytics Architect
  • Big Data Engineer
  • Big Data Analyst
  • Analytics Associate
  • Business Intelligence and Analytics Consultant
  • Metrics and Analytics Specialist

Outcome of the Program

The new and exhaustive data science skill set acquired through this online, big data technologies certification course would enable you to build your career optimally. Professional certificate program in machine learning 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.

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Testimonials

Frequently Asked Questions

Big Data is a term that is used to refer to data sets that are too large or complex for traditional data-processing application software to adequately deal with.

Big Data Analytics is the process of examining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information, with the aim of converting data into profitable business.

Choose this program to become industry relevant in the Analytics world. Keep up with the latest trends in the job market by learning the most trending skill of Big Data today!

This Professional Certificate Program in Big Data Technologies gives equal importance to the technology side of Big Data, Data Science and the business side of Analytics, instead of focusing on one aspect alone: something that has not been done before. This add-on feature makes you highly skilled and industry relevant and prepares you to thrive in the growing Analytics domain.

The answer is yes. There is a surge in demand for Big Data Experts and Analytics professionals due to a massive increase in the generation of Data. Data generation is estimated to increase exponentially in the coming years, which means more jobs will be generated in this sector as companies need Analytics experts to convert data into insightful and profitable business.

If things like Big Data and Analytics excite you, then we believe that it is.

There are no eligibility criteria as such, but this program is ideal for IT and Engineering students.