Today we will see the diverse data science applications and use cases, we can take examples of social media, e-commerce, transport , education and healthcare.
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2. ➔ Learn about the challenges in Big data.
➔ What is Data Science?.
➔ Understand the roles and responsibilities of a
Data Scientist.
➔ Data Science use cases
Objectives
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3. Data is everywhere !
Organisations are largely inclined towards data for
decision-making.
2.5 quintillion bytes of data being generated everyday.
The sources of data generation includes
➔ Financial Transactions
➔ Online Shopping/E-commerce
➔ Internet of Things (IoT)
➔ Website Data
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4. What is Big Data?
Big Data are large and complex data sets that are stored
using traditional methods. These data sets needs to be
analysed and broken down, which proves expensive.
However, these data becomes a source for value addition
so organizations who are curious towards leveraging it’s
potentiality for better decision making.
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5. How these data can be used ?
➔ Data Mining
➔ Keyword Search
➔ Statistics
➔ Predictive Analysis
➔ Deep Learning
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6. What is Data Science ?
➔ Data Science is the mix of three disciplines,
namely Mathematics, Statistics and Computer
Science.
➔ Data science aims at addressing the challenges
in big data
➔ Data science principles apply to all kinds of
data, whether big or small.
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