Learn the iterative process of exploratory data analysis (EDA), data analysis techniques, data exploration, and visualization. Course tools include R for data analysis and Tableau for data visualization.
Create visual representations of data for exploration, presentation, and dashboards
About this course:
Data science involves uncovering key intelligence by analyzing historical data to learn what happened in the past, and predictive analytics to forecast what may happen in the future. This iterative process is called exploratory data analysis (EDA). Effective data visualization is also an integral component of the process, and quickly becoming a top business intelligence and analytics technology. In this course, you’ll learn skills including EDA, data analysis techniques and data exploration, with a specific focus on visualization utilizing Tableau.
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