DataHour: Exploratory Data Analysis with F#

DataHour Recording

About the DataHour:

Data science is the application of statistical analysis, machine learning, data visualization and programming to real-world data sources to bring understanding and insight to data-oriented problem domains.

F# is an excellent solution for programmatic data science as it combines efficient

execution, REPL-scripting, powerful libraries and scalable data integration. It can be integrated with other powerful and rich languages easily, like R and MATLAB and thus having endless possibilities in this domain. It is also a sustainable programming language with less energy consumption and thus resulting in less carbon emission even while dealing with big data.

In this DataHour Munmun, will explain how to perform exploratory data analysis and use Machine Learning and Smart Visualization with F# efficiently. Some tips and tricks for using F# will be also discussed in the DataHour which can facilitate your EDA.

Prerequisites:

Basic understanding of Python programming and curiosity of learning Data Science.

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Speaker:

Munmun Das, Principal – Automation and Innovation at Accenture

Munmun is a professional and research scholar with 16 + years of experience in Software Project Management, Product development, Product strategy, and delivery of large-scale, complex automation/transformation solutions, web and mobile applications. She has also mentored industry tech-force as an Industry Speaker, Corporate Mentor, and Guest Lecturer. 

She has implemented handshaking projects on RPA with Dot Net web applications and successfully built on-demand RPA. 

Connect with Munmun on Linkedin, Facebook and Instagram.