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Data Science – Applications and Use Cases
Part-4
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Data Science Courses

2. Data Engineering
Approach: Mainly focused on development side.
Qualification: Doesn’t need to be technical
Research: Less important
Presentation Skills: Less important
Programming Skills: Important
Data Science Vs Data Engineering
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3. Applications of Data Science
Data Science is ubiquitous.
No industry functions without the Data Science
Healthcare
➔ Effective data management has helped to address
issues such as readmission and also. lessen the
waiting time for patients.
➔ Data Science is helping to create new methodologies
in identifying the trends of disease evident in patients.
Datamites Data Science Courses

4. Data Science Case Study-
Healthcare
➔ Data Science was instrumental in helping to design
targeted campaigns for the 2012 American
Presidential elections.
➔ Facebook-Cambridge Analytica fiasco, one of the
examples of the use of Data Science to study the
electoral trends and in use the information in a way
that proves favourable to the candidate
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5. Applications of Data Science
Marketing
Applying Data Science to Marketing is helping to
do customer segmentation in a better way, by
understanding the tastes and preferences of the
customers.
Transportation
Customer journeys can be mapped and using
analytics and unforeseen circumstances can be
managed.
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6. Applications of Data Science
Construction
Data Science is being used by construction companies to track
the expenses of the materials and also the average time taken to
complete the task.
Media and Entertainment
The Media and Entertainment industry uses Data Science to
segment the viewers and provide content recommendations.
This has been a great contributing factor for the success of the
entertainment industry.
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7. Data Science Case Study-
Healthcare
● Cancer is an incredibly complex disease; a single tumor can
have more than 100 billion cells, and each cell can acquire
mutations individually. The disease is always changing,
evolving, and adapting.
● Big Data Analytics is being used to devise treatment
strategies which are more targeted in nature.
● Early detection of cancerous cells are made using Deep
Learning techniques.
● The Deep Learning Image Only risk model is helping to make
accurate risk assessments in less cost.
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