Designing an Exploratory Data Analysis Research Plan
A well-crafted exploratory data analysis research plan can make a big difference in a data scientist's work being implemented in their organization. In this course, you will learn the foundational components and how to deliver a successful analysis.
What you'll learn
Creating a successful data science project that provides value to an organization can be a complex process. Developing an exploratory data analysis research plan elevates your data science project to an invaluable piece of information for the business. In this course, Designing an Exploratory Data Analysis Research Plan, you will learn what the components of a research plan are and strategies to implement the insights found into the organization. First, you will explore the basic components of a research plan and the difference between an academic and business-oriented exploratory data analysis research plan. Next, you will learn how to ask the right questions and begin getting a grasp on your data. Finally, you will develop a set of insights, including a series of machine learning models, and deliver the final exploratory data analysis research plan using R Markdown. When you are finished with this course, you will have the skills and knowledge needed to develop an exploratory data analysis research plan that may be implemented in your next data science project. Software required: R programming and R Studio.
Table of contents
About the author
My name is Jacey Heuer and I am a Data Scientist with many years of experience in the financial services, energy and retail industries. I hold a Masters of Business Administration and Masters of Business Analytics from Iowa State University. I also hold an undergrad degree in Business Administration and Finance. In data science, my areas of focus include machine learning, time series analysis, statistical inference and data translation. Data translation helps the decision makers in a business to... more