This document defines data science and outlines the key skills required of a data scientist. It discusses how data scientists extract knowledge from large and varied data sources using tools like RDBMS, NoSQL databases, data warehousing, and data mining. Strong mathematics, statistics, machine learning, and programming skills are needed to clean, analyze, and model data. Data scientists also require business acumen to understand domains, strategies, and apply findings. They work through a process of collecting raw data, processing, integrating, exploring, and communicating insights to help organizations make better decisions.

1. BIG DATA IN DATABIG DATA IN DATA
SCIENCESCIENCE
Submitted by
A.preethi

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

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

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

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

6. Visulization
Tableau Flare
Google
visualization APIs

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

8. 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

9. DataData ScientistScientist
Is the best friend
Responsibilities of data scientist
Data management
Analytical
Techniques
Business Analytial

10.  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

11. Thank you