"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large data sets. Data visualization plays an essential role in the representation of both small and large scale data.
One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions.
Module 1 - Basic Visualization Tools
Module 2 - Basic Visualization Tools Continued
Module 3 - Specialized Visualization Tools
Module 4 - How to create Maps
Module 5 - How to build interactive web pages
Saeed Aghabozorgi, PhD is a Data Scientist in IBM with a track record of developing enterprise level applications that substantially increases clients’ ability to turn data into actionable knowledge. He is a researcher in data mining field and expert in developing advanced analytic methods like machine learning and statistical modelling on large datasets.
Polong Lin is a Data Scientist at IBM in Canada. Under the Emerging Technologies division, Polong is responsible for educating the next generation of data scientists through BDU. Polong is a regular speaker in conferences and meetups, and holds a M.Sc. in Cognitive Psychology.
Thanks to course developement team, interns and all individuals who contributed to the development of this course: João Henrique Rezende, Helly Patel , Mandeep Kaur , Hiten Patel , Marta Aghili , Anita Vincent , Iqbal Singh , Rishabh jain , Aditya Walia , Kumar Gaurav