Data analysis and visualization conducted to aid in business intelligence

To obtain actionable intelligence from data that would aid in decision making, policy management, and change and drive future action, the following procedures were carried out:

Time Series Analysis

Data Analysis

Data Visualization

Data Mining

Data Collection

Data Cleaning

Data Transformation

Data Integration

Statistical Methods

Hypothesis Testing

Machine Learning

Natural Language Processing

Visual Analytics

Business Intelligence

Business Process Mapping

Process Documentation

The following tools and languages were utilized in the manipulation, storage, and analysis of the data as well as the visualization of the end products

Advanced Excel

SQL

Python

R

SPSS

AWS