面向数据科学的Python

Python for Data Science

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

408 次查看
加州大学圣地亚哥分校
edX
  • 完成时间大约为 10
  • 高级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Basic process of data science

Python and Jupyter notebooks

An applied understanding of how to manipulate and analyze uncurated datasets

Basic statistical analysis and machine learning methods

How to effectively visualize results

课程概况

In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek?

This course, part of the Data Science MicroMasters program, will introduce you to a collection of powerful, open-source, tools needed to analyze data and to conduct data science. Specifically, you’ll learn how to use:

python
jupyter notebooks
pandas
numpy
matplotlib
git
and many other tools.

You will learn these tools all within the context of solving compelling data science problems.

After completing this course, you’ll be able to find answers within large datasets by using python tools to import data, explore it, analyze it, learn from it, visualize it, and ultimately generate easily sharable reports.

By learning these skills, you’ll also become a member of a world-wide community which seeks to build data science tools, explore public datasets, and discuss evidence-based findings. Last but not least, this course will provide you with the foundation you need to succeed in later courses in the Data Science MicroMasters program.

预备知识

Previous experience with any programming language (Java, C, Pascal, Fortran, C++, Python, PHP, etc.) is expected.This includes a high school, or undergraduate equivalent, to an introduction to computer science course.Learners should be comfortable with loops, if/else, and variables.

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