Exploratory Data Analysis in Python

How can data be transformed into answers? Exploratory data analysis allows for you to examine datasets, answer queries, and visualize the results. This course will help you validate and clean data, visualize relationships between variables, answer questions, and use regression models for explaining and predicting. The course will cover data related to health and demographics, including the National Survey of Family Growth and the General Social Survey. These methods can be used in any field of science, engineering or business. Pandas is a Python library that lets you work with data. You can also find other core Python libraries, such as SciPy for regression or Matplotlib to visualize data. These skills and tools will enable you to make fascinating discoveries and work with real data.