Students will learn the iterative process of EDA, data analysis techniques, data exploration, and visualization. The course uses tools such as programming for data analysis, and Tableau for data visualization.
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 the 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 utilizes Tableau for data visualization.