課程信息

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立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

B​asic knowledge of programming (any language)

完成時間大約為21 小時

建議:9 hours/week...

英語(English)

字幕:英語(English)

您將學到的內容有

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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.

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

您將獲得的技能

Python LibrariesData Pre-ProcessingData Visualization (DataViz)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

B​asic knowledge of programming (any language)

完成時間大約為21 小時

建議:9 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 2 小時

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 個視頻 (總計 42 分鐘), 6 個閱讀材料, 2 個測驗
6 個視頻
Data Product Examples in Enterprise5分鐘
Developing a Data Product Strategy7分鐘
Python and Jupyter Basics6分鐘
Python Recap5分鐘
Livecoding: Getting Started With Jupyter10分鐘
6 個閱讀材料
Syllabus10分鐘
Course Materials10分鐘
Set Up Your System10分鐘
Our Case Study: Recommender Systems10分鐘
(Optional) Python: How to Run10分鐘
(Optional) Python: Additional Resources10分鐘
2 個練習
Review: Data Products4分鐘
Review: Python and Jupyter4分鐘
2
完成時間為 1 小時

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 個視頻 (總計 54 分鐘), 3 個測驗
6 個視頻
Reading CSV & JSON Files9分鐘
Processing Structured Data in Python8分鐘
Live-Coding: JSON5分鐘
Extracting Simple Statistics From Datasets11分鐘
Simple Statistics: Live-Coding8分鐘
3 個練習
Review: CSV and JSON Files6分鐘
Review: Simple Statistics4分鐘
Python: Reading Data10分鐘
3
完成時間為 1 小時

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 個視頻 (總計 38 分鐘), 3 個測驗
4 個視頻
Processing Text and Strings in Python7分鐘
Processing Times and Dates in Python11分鐘
Livecoding: Time and Date Data8分鐘
3 個練習
Review: Data Filtering and Cleaning2分鐘
Review: Processing Different Data Types5分鐘
Data Processing in Python10分鐘
4
完成時間為 1 小時

Week 4: Python Libraries and Toolkits

Get a sense of common libraries in Python and how they can be useful. Practice with MatPlotLib and other libraries. ...
5 個視頻 (總計 45 分鐘), 4 個測驗
5 個視頻
Introduction to Data Visualization11分鐘
Introduction to Matplotlib5分鐘
Live-coding: MatPlotLib9分鐘
urllib and BeautifulSoup12分鐘
4 個練習
Review: NumPy2分鐘
Review: MatPlotLib6分鐘
Review: urllib and BeautifulSoup4分鐘
Python Libraries & Toolkits10分鐘

講師

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Julian McAuley

Assistant Professor
Computer Science
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Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center

關於 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....

關於 Python Data Products for Predictive Analytics 專項課程

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 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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