DATA ANALYTICS AND DECISION MAKING

Trainers
Collins Sarpong |
Christopher Kegu |

This project describes the science of analyzing raw data in order to make conclusions about that information. Many of the techniques and processes of data analytics to make decison have been automated into mechanical processes and algorthms that work over raw data for human consumption.

Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. This information can then be used to optimize processes to increase the overall efficiency of a business or system.

Course Information

Project Objectives

The principal goal of this project is to import a Real-Llife dataset, clean and tidy the data, and perform advance exploratory data analysis; all while using R Language/SHINY to produce an HTML report that is fully Reproducible.
It will provide you with more experience using data wrangling tools on real life datasets.
It also equips you with in-dept knowledge on programming tools for finding insights in data

Project Topic

Using Data Wrangling and Machine Learning Tools on Real-Life Dataset to Develop a Model to Predict Hotel Bookings.

Project Pedagogy

This Project is an Instructor led hands on training with supervised labs / Projects /Online Sessions

IT Tools and Resources

The following tools would be used in the project

Datasets on Hotel Bookings
R Programming Language
R Studio
Shiny
HTML