Advanced Visualization in Jupyter Notebooks
Kalyan Prasad (~kalyan) |
Data visualization is a huge field. Now some of the key things to take away from this field without going, becoming an expert in data visualization are, it's a delicate skill, so you have to be careful not to exaggerate, even though you have so many tools at your disposal sometimes using less is more. In this talk we're going to look at some more advanced ways to visualize our data.
We firmly believe that Business Intelligence, Dashboarding and Data Visualization software should enable its users to discover greater insights within their data and empower them to step beyond the confines of traditional reporting tools with extremely interactive and engaging data visualizations.
The road map of talk structure goes like this. First we're going to give an introduction to information dense visualizations, a way of basically showing multiple layers of data and different data within a single plot. Then we're going to look at how to visualize correlation, the similarity or Association of different variables. Following that we're going to show technique called linear regression to build a simple linear model describing the real-world behavior of our data. Lastly, when we expand our exploration of multiple variables, showing even more types of data, we're going to use a technique called correlation matrix, the quickly showed the correlation between all the different combinations of variables.
Intermediate knowledge of Python
Familiarity with the Python scientific stack ( Numpy,Pandas, Matplotlib etc.)
Familiarity with Bigdata
Slides are WIP. We'll share them shortly
Kalyan is a Self-taught Data Scientist (The day I realized something can do beyond Excel) and holds a master degree in Finance. He has transitioned his career from Non tech to Tech stack. He's accomplished business professional with domain expert and having decade of work experience in multiple roles such as Research Analyst, Senior Research Analyst, Business Analyst, Data Analyst & Data Scientist .My current role includes executing data-driven solutions to increase efficiency, accuracy, and utility of internal data processing. Experienced at creating data regression models, using predictive data modelling, and analysing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems. I love discovering data trends, seeing unique correlations, and telling the stories behind the numbers from different domains data in various forms.
Kalyan loves involving in tech community. He's a Core Member/ Meetups Organizer of Hyderabad Python User Group . He's also one of the organizing committee member for PyConf Hyderabad 2019.
Linkedin - https://www.linkedin.com/in/kalyan-prasad-3a647b22/
Twitter - https://twitter.com/kalyanprasad