SRM INSTITUTE OF SCIENCE AND TECHNOLOGY
RAMAPURAM CAMPUS
COLLEGE OF SCIENCE AND HUMANITIES
DEPARTMENT OF COMPUTER SCIENCE AND APPLICATIONS
The Department of Computer Science & Applications has organized a Career Development Talk on
DATA SCIENCE & ANALYST PROFESSION
DATE: 29.03.2021 TIME: 10.00 am to 11.00 am
Guest Speaker: Ms. Sivasundari Sundaram – Data Analyst II, MARRS Services, Inc., Los Angeles, California, United States of America.
PARTICIPATION STATISTICS
TOTAL PARTICIPANTS 60
I MCA 57
OTHERS 03
WELCOME ADDRESS: Dr. P. Sudha-AP/MCA
Dr. P. Sudha AP/MCA and coordinator of the event presented the welcome address and introduced the guest to the audience
TECHNICAL SESSION – Ms. Sivasundari Sundaram
Data Analyst II, MARRS Services, Inc., Los Angeles, California, United States of America.
Ms. Sivasundari Sundaram started the session with an introduction of what is data science?
Data science- is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.
The application of data centric computational and inferential thinking to understand the world and solve the problems
She then explained about Fundamentals of data science
In continuation, she explained about the association of Big data in data science.
Big data is characterized by its velocity variety and volume (popularly known as 3Vs), while data science provides the methods or techniques to analyze data characterized by 3Vs.
Big data relates more to technology (Hadoop, Java, Hive, etc.), distributed computing, and analytics tools and software.
What is Big data? Big Data is a collection of data that is huge in volume, growing exponentially with time. It is a data with so large size and complexity that none of traditional data management tools can store it or process it efficiently.
It defines conventional ways of processing
It is a relative term and moving target
With suitable examples she explained how Machine learning frees humans depends on algorithms
She added that data analytics is driven by hypothesis and intentionality
Her discussion continued with a comparison of data scientists and data engineers-Data Engineers collect relevant Data. They move and transform this Data into “pipelines” for the Data Science team. They could use programming languages such as Java, Scala, C++ or Python depending on their task. Data Scientists analyze, test, aggregate, optimize the data and present it for the company.
She then explained about Data mining and how it is associated with data science
She concluded her session by explaining about
Discovering a pattern
Various algorithms
Application of data science in healthcare industry
How data science is useful in fixing dynamic pricing for flight tickets. She clearly explained how data analysis is useful in dynamic pricing for a flight in a given day and how comparison is done with other flight operators.
She also explained how Uber uses data science techniques to fix dynamic pricing for their cabs
She then explained about the career growths in data science
Educational skills needed for data science career
Then the session was opened to all the attendees to clarify their doubts. The entire session was much useful to the audience
Dr. P. Sudha AP/MCA and coordinator of the event proposed the vote of thanks
