Data Analysis and Application with Python
课程类别阿伯丁数据科学与人工智能学院
Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models. Topics covered include: - collecting and importing data - cleaning, preparing & formatting data - data frame manipulation - summarizing data, - building machine learning regression models - model refinement - creating data pipelines You will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. You will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them. In addition to video lectures you will learn and practice using hands-on labs and projects. You will work with several open source Python libraries, including Pandas and Numpy to load, manipulate, analyze, and visualize cool datasets. You will also work with scipy and scikit-learn, to build machine learning models and make predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.
教师: 刘海
Introduction To Sociology（社会学导论）
课程类别阿伯丁数据科学与人工智能学院(21-22下)
This is an introductory level course of sociology in contemporary American society. This course is designed to help students embark on a fascinating journey that allows them to see how society penetrates their thinking, affects their innermost being, and influences their lives. It helps students enter a new world of perception and understanding. It is an exploration of worlds and ideas far from our own and a quest to understand our own world and ideas. The course covers knowledge in five broad areas. It starts with the sociological perspectives and has an overview of culture, socialization, and research, followed by exploring how social groups influence our lives by examining the impact of social structure and social interaction. It then investigates social inequality at both global levels and within the United States. It also examines social institutions such as family and religion to understand life in society. And finally it discusses the social change, technology, and environment by focusing its attention on the impact of population and urbanization.