DataHour: Exploring Heart Disease Data using Python
DataHour: Exploring Heart Disease Data using Python
06 Jan 202313:01pm - 06 Jan 202314:01pm
DataHour: Exploring Heart Disease Data using Python
About the Event
Data analytics is the science of analyzing raw data to make conclusions about that information.
It helps a business optimize its performance, perform more efficiently, maximize profit, or make more strategically guided decisions. The techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption. Various approaches to data analytics include looking at what happened (descriptive analytics), why something happened (diagnostic analytics), what is going to happen (predictive analytics), or what should be done next (prescriptive analytics). Data analytics relies on a variety of software tools ranging from spreadsheets, data visualization, reporting tools, data mining programs, or open-source languages for the greatest data manipulation.
In this DataHour, Sagar will walk us through the process of performing Data Analysis on Heart Disease Dataset using the most efficient programming language “ Python”.
Prerequisites: Basic understanding python programming and interest of learning Data Science
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
Participate in discussion
Registration Details
Registered
Become a Speaker
Share your vision, inspire change, and leave a mark on the industry. We're calling for innovators and thought leaders to speak at our event
- Professional Exposure
- Networking Opportunities
- Thought Leadership
- Knowledge Exchange
- Leading-Edge Insights
- Community Contribution



