Data Science Education In The Present

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Data Science Education in the Present
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Outline
Motivation What is Data Science? Skill-set for
Data Science Data Science Education
Mathematics Data Science Job Search Terms (2018)
Programming Languages Domain Expertise End Notes
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Motivation
We are living in an ocean of data
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Internet of Things (IoT) Social media booming
Many online transactions


What value this data has? How do we extract this
value? How can one interpret the results? What
benefit the results have?
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• for organization/business
• for the consumer

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What is Data Science?
Data Science is a field that gives an
organization the muscle power to process analyze
derive insight take effective decisions
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What is Data Science?
Data Science became very popular after
2012. Harvard Business Review called Data Science
the most sought-after job of 21st century. Jim
Gray, an American computer scientist Data
Science a new paradigm of science Data Science
provides students an opportunity
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• to learn
• meet the rising demands of the industry for this
  particular subject

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Skill-set for Data Science
A successful Data Scientist needs a unique set of
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analytical skills technical understanding
business understanding to effectively work on
massive data sets for actionable business
insights




Data Science is an interdisciplinary field,
primarily consists of
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Mathematics Computer Science Domain Expertise


All these disciplines are important in Data
Science work. Optimal use of each of these
disciplines has its own contribution for
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• an optimal
• evolved Data Science product

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Data Science Education
Data Science education has three main components
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Mathematics Programming Languages Domain
Expertise


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Mathematics
Mathematics for Data Science mainly comprise of
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Probability Statistics Multivariate Calculus
Linear Algebra Discrete Mathematics




This knowledge of mathematics is the basis for
Data Science stages.
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Analysis Statistical testing Visualization
Machine Learning



Various skills are used as job search terms at
job portals in 2018.
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Data Science Job Search Terms (2018)
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Programming Languages
Programming languages formal education (started
in 1960s). Different computer programming
languages
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R programming Python SAS JAVA MATLAB SQL
NoSQL Julia Ruby Scala C F











Most in demand programming languages for Data
Scientists in 2018.
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Programming languages (2018)
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Domain Expertise
Domain Expertise is also very important in Data
Science. Experts claim that Domain Knowledge is
more important than any best- sophisticated
Machine Learning algorithm. Data Scientist must
understand the information that they are
processing. Domain Expertise plays a crucial
part in a good Feature Engineering Model
quality is a function of features that we use to
train a Machine Learning algorithm. Building
models without domain knowledge
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• a risky task
• result in a sub-optimal output of limited
  applicability

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Acquiring Domain Knowledge
Finance Education Telecom Healthcare
Retail Bio-Informatics Manufacturing
Engineering Acquiring Domain Knowledge Data
Science skill-sets should be flexible and
transferable among domains. To boost ones
domain knowledge
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Reading literature attending
presentation Talking and asking questions to the
domain experts


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End Notes

• Many institutes all over the world
• started offering programmes in Data Science
• At Regenesys we focus on

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the quality of education a strong emphasis on
the domain expertise Feature Engineering
Programming skills mathematical background ample
practice on the real-life data sets from various
businesses






We are also emphasizing on the advanced topics in
the Data Science.
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