We have more access to data than ever. But how do you use this data productively, and not get bogged down with information & analyses that don’t actually translate into actionable insights? In this session, we will get a deeper and more practical understanding of data science and how it can be used in business – identifying business problems, framing them properly, and utilizing an analytical framework, along with data models, to solve these problems.

After we’ve understood the power of data in solving business problems, the next step is to prepare our organization/team to be able to execute the data analytics process successfully. In this session, we will discuss the lifecycle of data including where & how to get it, the various roles & skillsets needed in a data-driven organization, as well as the use cases of data science across different industries.

In this session, we will begin learning how to tell compelling stories with data. We will learn how to analyze data, draw insights from it, and visualize it such that it can be used effectively to inform business decisions. We will also learn how to use data analysis and visualization tools beyond Excel, such as Power BI.

Building on our learnings from insighting and data visualization – in this session, we will work with larger and more granular datasets. We will gain an understanding of the rigorous, experimental, behind-the-scenes, and oft-hidden process of cleaning and exploring data before it arrives in summarized form. Armed with a more detailed understanding of our data, we will then be in a better position to turn insights & visualizations into a coherent narrative that can move our audience toward actual business decisions & actions.