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1. INTRO TO
DATA
SCIENCE
UMESHCHANDRA

2. INTRODUCTION TO DATA SCIENCE
 Data Science is one amongst the fastest-growing, difficult and high paying
jobs of this decade. So, the question is what is data science? data science is
an interdisciplinary field (it consists of more than one branch of study) that
uses statistics, computer science and machine learning algorithms to gain
insights from both structured and unstructured data. According to
‘Economic Times’ India has seen more than 400 percent rise in demand for
data science professionals across varied industry sectors at a time when the
supply of such talent witness slow growth.

3. ABOUT THIS COURSE

4. APPLICATIONS
1. Marketing
 There is a huge scope in marketing, for example, Improved Pricing strategy Companies like Uber, e-commerce
companies can use data science-driven pricing which allows them to increase their profits.
2. Healthcare
 Using wearable data to prevent and monitor health problems. The data generated from the body can be used
in healthcare to prevent future emergencies.
3. Banking and Finance
 As we discussed the introduction to data science now we will go ahead with the application of data science
uses in the banking sector for fraud detection which can be helpful in reducing the Non-Performing Assets of
banks.
4. Government Policies
 The Government can use data science to prepare better policies to cater better to the needs of the people and
what they want using the data they can get by conducting surveys and others from other official sources.

5. ADVANTAGES
In this topic of Introduction To Data Science, we also show you the advantages of Data Science. Some of
them are as follows:
 It helps America to induce insights from the historical information with its powerful tools.
 It helps to optimize the business, hire the right persons and generate more revenue as using data
science helps you to make better future decisions for the business.
 Companies can develop and market their products better as they can better select their target
customers.
 Introduction to Data Science also helps consumers search for better goods, especially in e-commerce
sites based on the data-driven recommendation system.

6. DISADVANTAGES
 As we studied about the introduction to data science now we are going
ahead with the disadvantages of data science:
The disadvantages are generally when data science is used for customer
profiling and infringement of customer privacy, as their information, such as
transactions, purchases, and subscriptions, is visible their parent
companies.The information
obtained mistreatment knowledge science is used against a precise cluster,
individual, country or community.

7. OUTCOMES
On fortunate completion of this unit a student ought to be ready to:
 analyze the role of data in organizations, including curation and management issues;
 apply basic tools for performing exploratory data analysis and visualization;
 apply basic tools for managing and processing big data;
 apply basic predictive modeling and data analysis methods;
 determine data storage and processing requirements for a data science project;
 identify data resources and standards.

8. THANK YOU
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