This Repo contains Case Studies for Python for Data Science.
A Retail store is required to analyze the day-to-day transactions and keep a track of its customers spread across various locations along with their purchases/returns across various categories.
In order to effectively produce quality decisions in the modern credit card industry, knowledge must be gained through effective data analysis and modeling. Through the use of dynamic data driven decision-making tools and procedures, information can be gathered to successfully evaluate all aspects of credit card operations. PSPD Bank has banking operations in more than 50 countries across the globe. Mr. Jim Watson, CEO, wants to evaluate areas of bankruptcy, fraud, and collections, respond to customer requests for help with proactive offers and service.
Data exploratory analysis and to do hypothesis testing for insurance claim data
Use of python libraries matplotlib, seaborn and pandas for creating different charts
Business Context: this project where client asked you to provide data driven insights about business and understand customer, seller behaviors, product behavior and channel behavior etc... While working on this project, you are expected to clean the data (if required) before analyze it.
To do the hypothesis testing with the use of different type of statistics test such as F-Test, T-test, Anova, correlation etc