Analytics Insight – July 2019

An Influential Institution

Shaping the Future of Data

Science Education

P

raxis was set up in 2007 to

become a trusted and influential

educational institution with a

mission to create industry ready global

contributors. ‘Praxis’ – the translation

of theory into practice – has been the

guiding philosophy of the institution

and has enabled its evolution into a

contemporary, industry-facing Business

School.

Praxis runs a one-year full-time Data

Science program in Kolkata and

Bangalore, and online programs in data

science for working professionals. In

addition, Praxis offers a two-year Full-

Time AICTE Approved Post Graduate

Diploma in Management from its

Kolkata campus, and is launching a one-

year full-time program in cybersecurity

this year.

Praxis has two key strengths: a high-

quality faculty team with impeccable

academic pedigree and significant

corporate experience, and an intimate

industry connect. This enables the

design and delivery of programs

that are contemporary, relevant and

effective. The Praxis one-year Data

Science program has been consistently

ranked second among Data Science

programs in the country by a prominent

publication like India Today and forums

like Analytics Vidhya and Analytics India

Magazine.

Pedagogy Fostering Academic

Brilliance

Praxis practices a learning-centered

pedagogy, combining the methods of

lectures, case-discussions, labs and

projects in delivering its programs. The

learning of concepts and techniques

is contextualized with the help of real-

world business problems.

The Post Graduate Program in Data

Science with ML and AI (Formerly known

as PGP in Business Analytics) aims

at equipping students with the tools,

techniques, and skills to enable them to

grow into the role of Data Scientists.

The program comprises 500+ hours of in-

class learning that covers the following:

• Technology Skills: An understanding
  of a wide range of tools and
  technologies (Python, R, SAS,
  Tableau, Hadoop, Spark, etc.) that

are commonly used to extract,

analyze and visualize data.

• Techniques: Knowledge of statistics,
  econometrics, applications of AI
  like machine learning and deep
  learning, optimization techniques
  and the ability to create predictive
  models.


• Domain Knowledge: A fair
  understanding of business functions
  like marketing, finance, operations
  and the application of Analytics in
  various verticals.


• Communication Skills: The ability to
  tell an effective story.
  In addition, students engage in a
  Capstone Project that presents them
  with an opportunity to work on a near-
  real-world problem and use the tools,
  techniques they have learned to create
  sophisticated models.
  The methodology emphasizes ‘learning
  by doing’ in which students apply
  concepts of statistics, machine learning,
  neural networks, AI, deep learning,
  etc. to a set of near real-world projects
  obtained from a variety of sources.
  Faculty use data available from Kaggle

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THE 10 MOST PROMINENT ANALYTICS AND

DATA SCIENCE INSTITUTES IN 2019