Post Graduate Program in Data Engineering (Data Visualization)

This Post Graduate Program in Data Engineering is explicitly curated for aspiring Data Engineers/Data Visualization Experts.

  • Learn the art of acquisition, aggregation, ingestion, transformation and exploration within the Data Analysis Architecture.
  • Become a Machine Learning Expert.
  • Duration: 6-12 months
  • Learning Mode: Faculty-led online
  • Eligibility: BE, BTech (CSE, ECE,EEE, IT), MCA, MSc (CS, IT, CA)

Modules We Cover

Big Data 101
Statistics 101
R Programming
Access Methods
Big Data with Spark & Python
Data Visualization with Tableaux
Data Visualization with D3


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

Data Engineering or Data Visualization has emerged in the recent years as highly charged careers with a scope that knows no end. Career prospects are endless for those whose interest lies in this industry.

Mentioned below are the career options available to an Expert in Data Engineering:

  • Data Engineer
  • Data Analyst
  • Database Administrator
  • Data and Analytics Manager
  • Data Visualization Expert

Outcome of the Program

The new and exhaustive data science skill set acquired through this online, data engineering certification course would enable you to build your career optimally. PGP in data engineering 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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Frequently Asked Questions

Data Visualization is a pictorial or graphical representation of data. It is the art of communicating business intelligence visually through data visualization tools. Simply put, presenting data in the most attractive and simplistic manner is called data Visualization.

Data Visualization has become relevant today because it visually simplifies complex business problems in a beautiful and effortless manner. Choose this program to become a Professional with excellent credentials in both Analytics and Visualization.

Yes. As an Expert in Data Visualization, you have many opportunities awaiting you. You can join any company as a Data Visualization Developer or an Analyst.

If you want to learn the art of data visualization, we believe that it is.

There are no eligibility criteria as such. But this program is ideal for Analytics or Engineering Professionals who want to refine their data visualization skills.