This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization.
本课程是 Python Data Products for Predictive Analytics 专项课程 专项课程的一部分
提供方
课程信息
Basic knowledge of programming (any language)
您将学到的内容有
Develop data strategy and process for how data will be generated, collected, and consumed
Load and process formatted datasets such as CSV and JSON.
Deal with data in various formats (e.g. timestamps, strings) and filter and “clean” datasets by removing outliers etc.
Basic experience with data processing libraries such as numpy and data ingestion with urllib, requests
您将获得的技能
- Python Libraries
- Data Pre-Processing
- Data Visualization (DataViz)
- Web Scraping
Basic knowledge of programming (any language)
提供方

加州大学圣地亚哥分校
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
授课大纲 - 您将从这门课程中学到什么
Week 1: Introduction to Data Products
This week, we will go over the syllabus and set you up with the course materials and software. We will introduce you to data products and refresh your memory on Python and Jupyter notebooks.
Week 2: Reading Data in Python
This week, we will learn how to load in datasets from CSV and JSON files. We will also practice manipulating data from these datasets with basic Python commands.
Week 3: Data Processing in Python
This week, our goal is to understand how to clean up a dataset before analyzing it. We will go over how to work with different types of data, such as strings and dates.
Week 4: Python Libraries and Toolkits
In this last week, we will get a sense of common libraries in Python and how they can be useful. We will cover data visualization with numpy and MatPlotLib, and also introduce you to the basics of webscraping with urllib and BeautifulSoup.
审阅
- 5 stars62.01%
- 4 stars22.34%
- 3 stars7.26%
- 2 stars3.91%
- 1 star4.46%
来自BASIC DATA PROCESSING AND VISUALIZATION的热门评论
Excellent to start your career in machine learning!!!
A really good course to learn data preprocessing before implementing the machine learning module.
This course is more rewarding than I thought. The instructors give step by step explanation of the process also the syllabus of the course is just perfect, Highly recommended.
Great content. When you apply yourself to this course , there's no "dirty" data you can't handle.
关于 Python Data Products for Predictive Analytics 专项课程
Python data products are powering the AI revolution. Top companies like Google, Facebook, and Netflix use predictive analytics to improve the products and services we use every day. Take your Python skills to the next level and learn to make accurate predictions with data-driven systems and deploy machine learning models with this four-course Specialization from UC San Diego.

常见问题
我什么时候能够访问课程视频和作业?
我订阅此专项课程后会得到什么?
有助学金吗?
还有其他问题吗?请访问 学生帮助中心。