Data visualisation is an important skill to possess for anyone trying to extract and communicate insights from data. Great business narratives and presentations often stem from brilliant visualisations that convey the key ideas in a concise and aesthetic manner. In the field of machine learning, visualisation plays a key role throughout the entire process of analysis – to obtain relationships, observe trends and portray the final results as well. Therefore, it is imperative that you learn and master this tool which will aid you throughout this program.
This session will help you learn how to visualise data in python using the matplotlib library.
Data visualisation is a crucial step in the process of data analysis; in the upcoming video, let’s hear it out from Behzad how visualisation could play the most crucial role for your data toolkit.
This session will cover the following topics:
- Creating and plotting graphs.
- Different chart types.
- Modification of charts for better understanding and presentation.
Guidelines for in-session questions
The in-video and in-content questions for this session are not graded. The graded questions will be provided later in a separate session.
People you will hear from in this session
Subject Matter Expert
Data Scientist at Walmart Labs
Behzad is a doctor of philosophy (PhD) in electrical and computer engineering; communication and signal processing from the new jersey institute of technology. He has been working in the software engineering and data science field for more than 12 years. Behzad currently employs his machine learning skillset to create retail graphs for walmart labs.
Analytics Lead, Flipkart
Rahim, a BITS Pilani graduate, has around 9 years of experience in advanced analytics and machine learning. He is currently the Analytics Lead at Flipkart Pvt Ltd., an Indian electronic commerce company based in Bengaluru, India.
CEO, Gramener
Gramener is one of the most prominent data analytics and visualisation companies in India. Anand, currently the CEO, was previously the Chief Data Scientist at Gramener and has extensive experience in management consulting and equity research.