Exploratory Data Analysis and Visualization
Students will learn the iterative process of EDA, data analysis techniques, data exploration, and visualization. The course uses tools such as R Programming for data analysis, and Tableau for data 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, a key component of the data science process is to visualize it effectively. That is why data visualization is becoming one of the top business intelligence and analytics technology. This course teaches you these skills with a specific focus on visualization. You learn the iterative process of EDA, data analysis techniques, data exploration, and visualization. The course uses tools such as the R for data analysis and Tableau for data visualization.
It is advisable that you complete the following (or equivalent) since they are prerequisites for Exploratory Data Analysis and Visualization.
Winter 2020 Schedule
These courses are fully online, and there are no in-person classroom meetings.
These courses meet in person and make use of an online presence to varying degrees.