Big data in data science

1. PRESENTED BY
Name :PREETHI.A
Class : II-MSc CS
Batch : 2017 -2019
Incharge Staff : Ms. M. Florence Dayana

2. Data is the science of extracting knowledge from
data
o Peta t zetta bytes of information
Manufacture use-case
 Customer churn
 Market basket
 Collaborative filtering
 Regression analysis

4. Business Acumen Skills
A data should have prowers to counter the pressure of
business
 Understanding of domain
 Business strategy
 Problem solving
 Communication
 Presentation
 Inquisitiveness

6. Technology Expertise
Citedbelow are few skills far as technical
 Technology expertise will come in handy
 One to play
Business
Actimen
Mathematics
expertise
Technology
expertise

7. Application of Data Science
 Good database knowledge such as RDBMS
 Good NOSQL database knowledge
• Mongo DB
• Cassandra
• Hbase
 Open source tools
 Data warehousing
 Data Mining

8. Visulization
Tableau Flare
Google
visualization APIs

9. Mathematics Expertise
Since of data the core job will require him
to comprehend
Key skills that data scientist have arsenal
 Mathematics
 Statistics
 Artificial intelligence(AI)
 Algorithms
 Machine learning
 Pattern recognition

11. To sum it up/data science process
I. Collecting raw data from multiple disparate
data sources
II. Processing thedata
III. Integrating the data
IV. Engaging in explorative data analysis
V. Preparing presentation
VI. Communication finding all stakeholders
VII. Making faster and better decision

12. Is the best friend
Responsibilities of data scientist
Data management
Analytical
Techniques
Business Analytial

13.  Overview of data scientific
Data scientific
New Best friend
Prepares&integrates large
Varied datasets
Models&analyse to
comprehendinterpret
relationships,spots trends
Communicationpre
findings/results
Applics business
dorman
knowledge to
provide context

14. Thank you