Tools for Exploratory Data Analysis in Business (Coursera)

The learning outcomes for this course include:

1. Development of an analytic mindset for approaching business problems.

2. The ability to appraise the value of datasets for addressing business problems using summary statistics and data visualizations.

3. The ability to competently operate business analytic software applications for exploratory data analysis.
What You Will Learn

- Development of an analytic mindset for approaching business problems.

- The ability to appraise the value of datasets for addressing business problems using summary statistics and data visualizations.

- Competence in operating business analytic software applications for exploratory data analysis.

Syllabus

WEEK 1

Course Orientation and Module 1: Analytics Mindset

Your mind is the most important tool. Prepare your mind by learning about various mindsets and terms for approaching business analytic problems.

WEEK 2

ETL and EDA Using PowerBI

PowerBI is great for both data assembly and visualization. In this module we will use PowerBI to prepare the Teca data for analysis, and then visually explore that data with various charts.

WEEK 3

ETL and EDA Using RStudio

Using R in RStudio to load, transform, clean, and explore data

WEEK 4

ETL and EDA Using Alteryx

Alteryx is great for visually documenting the data analytic workflow. In this module we will use Alteryx to assemble the Teca data and explore it with plots and tables.