课程信息
29,944

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

B​asic knowledge of programming (any language)

完成时间大约为17 小时

建议:7 hours/week...

英语(English)

字幕:英语(English)

您将学到的内容有

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    Develop data strategy and process for how data will be generated, collected, and consumed

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    Load and process formatted datasets such as CSV and JSON.

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    Deal with data in various formats (e.g. timestamps, strings) and filter and “clean” datasets by removing outliers etc.

  • Check

    Basic experience with data processing libraries such as numpy and data ingestion with urllib, requests

您将获得的技能

Python LibrariesData Pre-ProcessingData Visualization (DataViz)Web Scraping

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

B​asic knowledge of programming (any language)

完成时间大约为17 小时

建议:7 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 2 小时

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....
6 个视频 (总计 42 分钟), 6 个阅读材料, 2 个测验
6 个视频
Data Product Examples in Enterprise5分钟
Developing a Data Product Strategy7分钟
Python and Jupyter Basics6分钟
Python Recap5分钟
Livecoding: Getting Started With Jupyter10分钟
6 个阅读材料
Syllabus10分钟
Course Materials10分钟
Set Up Your System10分钟
Our Case Study: Recommender Systems10分钟
(Optional) Python: How to Run10分钟
(Optional) Python: Additional Resources and Recommended Readings10分钟
2 个练习
Review: Data Products4分钟
Review: Python and Jupyter5分钟
2
完成时间为 2 小时

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....
6 个视频 (总计 54 分钟), 3 个测验
6 个视频
Reading CSV & JSON Files9分钟
Processing Structured Data in Python8分钟
Live-Coding: JSON5分钟
Extracting Simple Statistics From Datasets11分钟
Simple Statistics: Live-Coding8分钟
3 个练习
Review: CSV and JSON Files8分钟
Review: Simple Statistics10分钟
Python: Reading Data and Simple Statistics45分钟
3
完成时间为 1 小时

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....
4 个视频 (总计 38 分钟), 3 个测验
4 个视频
Processing Text and Strings in Python7分钟
Processing Times and Dates in Python11分钟
Livecoding: Time and Date Data8分钟
3 个练习
Review: Data Filtering and Cleaning5分钟
Review: Processing Different Data Types5分钟
Data Processing in Python30分钟
4
完成时间为 2 小时

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....
5 个视频 (总计 45 分钟), 5 个测验
5 个视频
Introduction to Data Visualization11分钟
Introduction to Matplotlib5分钟
Live-coding: MatPlotLib9分钟
urllib and BeautifulSoup12分钟
4 个练习
Review: NumPy4分钟
Review: MatPlotLib6分钟
Review: urllib and BeautifulSoup6分钟
Python Libraries and Toolkits15分钟
5
完成时间为 2 小时

Final Project

Create your own Jupyter notebook with a dataset of your own choosing and practice data manipulation. Show off the skills you've learned and the libraries you know about in this project. We hope you enjoyed the course, and best of luck in your future learning!...
1 个视频 (总计 2 分钟), 2 个阅读材料, 1 个测验
1 个视频
2 个阅读材料
Project Description10分钟
Where to Find Datasets10分钟

讲师

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Julian McAuley

Assistant Professor
Computer Science
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Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center

关于 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....

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. This Specialization is for learners who are proficient with the basics of Python. You’ll start by creating your first data strategy. You’ll also develop statistical models, devise data-driven workflows, and learn to make meaningful predictions for a wide-range of business and research purposes. Finally, you’ll use design thinking methodology and data science techniques to extract insights from a wide range of data sources. This is your chance to master one of the technology industry’s most in-demand skills. Python Data Products for Predictive Analytics is taught by Professor Ilkay Altintas, Ph.D. and Julian McAuley. Dr. Alintas is a prominent figure in the data science community and the designer of the highly-popular Big Data Specialization on Coursera. She has helped educate hundreds of thousands of learners on how to unlock value from massive datasets....
Python Data Products for Predictive Analytics

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