This is an exploratory data analysis of the Kenyan national parks data set.The business task was as follows: #Which parks have the highest number of visitors in a year. #Which parks have the highest lowest number of visitors in the year. #Which months bring in the highest and lowest number of visitors in the parks #Find out the total revenue per month for all the parks

Quantium’s retail analytics team and have been approached by your client, the Category Manager for Chips, who wants to better understand the types of customers who purchase Chips and their purchasing behaviour within the region. The insights from this analysis will feed into the supermarket’s strategic plan for the chip category in the next half year.

Exploratory data analysis with the objective of testing a hypothesis related to different types of problems for business analytics using supermarket sales data. Problems/Questions: 1. Descriptive - What is the top payment method based on the product lines? 2. Prediction - When is the best time to offer discounts? 3. Correlation - Is there a relationship between total sales on weekdays vs weekends?

This project was part of google data analytics professional certificate course where I was tasked to analyze a data set to understand how casual riders and annual members use Cyclistic bikes differently. The data set had 3818004 observations and 12 variables