Sourav Mondal

October 29, 2020 | Thursday | 5 PM

ABSTRACT

Data Analytics Workshop

The internet has revolutionized the world leading to an age of connectivity. It has pushed the boundaries of machine intelligence by enabling sophisticated computing algorithms to be developed and imparting them the ability to efficiently harness large data aggregations. The ability to understand the data and analyzing it effectively through computer algorithms is increasingly becoming an essential skill irrespective of one’s profession. Data analytics has significantly altered social dynamics and world order. It is imperative that students and young professionals understand its importance and impact on the positive influences as well as the drawbacks. Further, with advances in data science, artificial intelligence, and machine learning, algorithmic programming has become a necessity for all engineers to tackle different social issues.  This workshop aims at introducing the participants into the field of advanced data analytics with python and building their expertise in the development of a variety of data management strategies and applications.

Workshop Session-3: Data Processing and Exploration

In the fourth and concluding session, we will have an interactive session to clear any doubts from the proceeding sessions. Further, some basic machine learning concepts for advanced data analysis and associated libraries such as sci-kit learn will be discussed. We will also solve some data analysis projects covering time series and other trends.

In the third session prior to this, the essential steps of data analysis were discussed with a detailed introduction to data wrangling. Further, some explorative data analysis techniques (basic statistical approaches, descriptive statistics etc…) were also discussed. This session concluded with some hands-on analysis for some simple and practical applications in real-life.

BIOGRAPHY

Sourav Mondal completed his PhD from the electrical and electronic engineering department at the University of Melbourne. His research focuses on the strategic deployment of artificial Intelligence-enhanced cloudlets for low-latency human-to-machine applications; this work involved several interdisciplinary areas like machine learning, cloud and edge computing, mathematical optimisation and game theory, communication systems and networks. Prior to this, he has worked as LTE L3 Femtocell Modem Software development Engineer in Qualcomm India Pvt. Ltd., Hyderabad for two years.

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