Data Science Courses

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

• The Introduction to knowledge Science category
  can survey the foundational topics in knowledge
  science, namely
• Data Manipulation
• Data Analysis with Statistics and Machine
  Learning
• Data Communication with Information Visualization
• Data at Scale -- Working with Big Data
• The class can target breadth and gift the topics
  in short rather than specializing in one topic
  exhaustive. This will offer you the chance to
  sample and apply the essential techniques of
  knowledge science.

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 scienceThe 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

• Please Contact us Here by attached following
  link.
• ExcelR Solutons https//g.page/ExcelRSolutionsBa
  naglore?share
• Contact Us _at_ Behind Tata Motors, 49, 1st Cross,
  27th Main, Old Madiwala, Jay Bheema Nagar, 1st
  Stage, BTM Layout, Bengaluru, Karnataka 560068.
• Website https//www.excelr.com/