Exploratory Data Analysis and Visualization
What you can learn.
- Analyze and prepare raw data for processing
- Create visual representations of data for exploration, presentation, and dashboards
- Learn visualization with R and Tableau
About this course:
The key goal of Data Science is to obtain insights from data. The insights could be about what happened in the past by analyzing historical data or about predicting what may happen in the future using predictive analytics. Data Scientists go through an iterative process to come up with means that lead to insights. This process is called Exploratory Data Analysis (EDA). In addition to a curious mind, data exploration and data visualization are key requisites for EDA. This course will teach you these skills with a specific focus on visualization. You will learn the iterative process of EDA, data analysis techniques, data exploration, and visualization. The course uses tools such as the R and Python language for data analysis, and Tableau and D3.js for data visualization.
It is advisable that you complete the following (or equivalent) since they are prerequisites for Exploratory Data Analysis and Visualization.
Fall 2018 Schedule
These courses are fully online, and there are no in-person classroom meetings.
Hybrid courses utilize a combination of in-person classroom meetings and online meetings.