Data Visualization-Presentatn

Catalog description

Prior to embarking on detailed predictive analytics, analysts first need to understand their data well; they accomplish this through exploratory data analysis (EDA). Data visualization plays a key role in EDA. Modern software packages contain powerful visualization tools that we can use to creatively explore the data, generate probing questions and garnet insights into answers to these questions, all before exploring them deeper using quantitative techniques. Data visualization goes much further than simply knowing the mechanics of generating different types of charts. Analysts need to develop the skills to ask important questions and to generate the right kinds of charts to find answers. As important and useful as using analytics techniques are to finding nuggets of intelligence hidden in data, they will fail to have any impact unless data analysts can present their findings convincingly to managerial decision makers. This hands-on course will equip participants with the necessary skills to ask important questions about data sets and enable you to use data visualization to answer the questions. The course will also cover dashboard design and concept on presentation of analyses as well as specific R tools to achieve all of this.