Introduction

The demand for skilled data science practitioners in industry, academia, and the government is rapidly growing. This portfolio introduces concepts and skills that can help it tackle real-world data analysis challenges. It covers probability, statistical inference, linear regression, and machine learning concepts.

Case studies

Throughout the portfolio, we use motivating case studies. We try to realistically mimic a data scientist’s experience in each case study. We start by asking specific questions and answering these through data analysis for each of the concepts covered. We learn the ideas as a means to answer the questions. Case studies included in the portfolio are:

Case Study	Concept
GDP And Energy Supply	Data Cleaning and Data Visualization
Medical Insurance Costs	Data Visualization and Linear Regression
Quantium Retail Strategy And Analytics	Statistical Inference
Ok Cupid	Descriptive statistics and Machine Learning
Real Estate São Paulo Rent Prediction	Data Science Problem ML - Regression
Hotmart Sale Analytics	Data Visyalization, Statistical Analysis, Machine Learning
Telecom Clusters Analysis	Clusters Analysis

All codes and projects in this portfolio can be found on my Github page: GitHub