Data Science with Pyhton Certification - eLearning

E-commerce: Amazon, one of the leading US-based e-commerce companies, recommends products within the same category to customers based on their activity and reviews on other similar products. Amazon would like to improve this recommendation engine by predicting ratings for non-rated products and adding them to recommendations accordingly.

Retail: Predict accurate sales for 45 stores of Walmart, one of the US-based leading retail stores,

considering the impact of promotional markdown events. Check if macroeconomic factors like CPI, unemployment rate, etc., affect sales.

Telecoms: Comcast, one of the US-based global telecommunication companies, wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction, if any. The company is also looking for key recommendations that can be implemented to deliver the best customer experience.

Workforce analytics: IBM, one of the leading US-based IT companies, would like to identify the factors that influence the attrition of employees. Based on the specified parameters, the company would also like to build a logistics regression model that can help predict whether an employee will churn.

Could you perform a service request data analysis of New York City 311 calls? You will focus on data wrangling techniques to understand patterns in the data and visualize the major complaint types.

Domain: Telecommunication

The GroupLens Research Project is a research group in the Department of Computer Science and

Engineering at the University of Minnesota. The researchers of this group are involved in several research projects in the fields of information filtering, collaborative filtering, and recommender systems. Could you please look over user datasets using the Exploratory Data.

Analysis technique? Domain: Engineering.

As a part of this project, you will import data using Yahoo data reader from the following companies: Yahoo, Apple, Amazon, Microsoft, and Google. You will perform fundamental analytics, including plotting, closing price, plotting stock trade by volume, performing daily return analysis, and using pair plots to show the correlation between the stocks.

Domain: Stock Market.

On April 15, 1912, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This tragedy shocked the world and led to better safety regulations for ships. Here, we'd like to ask you to do an analysis using the exploratory data analysis technique, particularly applying machine learning tools to determine which passengers survived the tragedy.