DATA SCIENCE Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills. In order to uncover useful intelligence for their organizations, data scientists must master the full spectrum of the data science life cycle and possess a level of flexibility and understanding to maximize returns at each phase of the process. The ability to take data — to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it — that’s going to be a hugely important skill in the next decades.

1. Data Science
Introduction to Data Science

2. Topic to be Covered:-
Data Science
Skill Requirement for Data Science
Data Scientist
Role of Data Scientist
Tools for Data Science
Application of Data Science

3. Data Science
• Data Science is the study of various machine learning algorithm to
find the hidden pattern in the available data.
• Data Science is the branch of Artificial Intelligence or we can say it is
the future of Artificial Intelligence.

4. Skill Requirement for Data Science
Technical Prerequisite:-
 Machine Learning
 Mathematical Learning
 Statistics
 Computer programming
 Database
Non-Technical Prerequisite:-
 Curiosity
 Critical Thinking
 Communication Skills

5. Data Scientist
Data Scientist is a person who transforms the data into meaningful
insights, from which a good decision can be taken.
Role of Data Scientist
• Data Scientist identify the questions to understand business
problem.
• Process the data and convert it into suitable format for
analysis .
• Visualizing data

6. Tools for Data Science
Data Analysis tools: Python, Statistics, SAS, Jupyter, Excel
Data Warehousing: ETL, SQL, Hadoop, AWS redshift
Data Visualization tools: R, Jupyter, Tableau, Congos
Machine Learning tools: Spark, Mahout, Azure Ml studio

7. Applications of Data Science:
Image Recognition and speech recognition
Gaming world
Internet search
Transport
Healthcare
Recommendation Systems
Risk detection

8. Thank you 