課程信息

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中級

B​asic knowledge of programming (any language)

完成時間大約為10 小時
英語(English)
字幕:英語(English)

您將學到的內容有

  • 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

您將獲得的技能

Python LibrariesData Pre-ProcessingData Visualization (DataViz)Web Scraping
可分享的證書
完成後獲得證書
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10 小時
英語(English)
字幕:英語(English)

提供方

加州大学圣地亚哥分校 徽標

加州大学圣地亚哥分校

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 2 小時

Week 1: Introduction to Data Products

完成時間為 2 小時
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 Resources and Recommended Readings10分鐘
2 個練習
Review: Data Products4分鐘
Review: Python and Jupyter5分鐘
2

2

完成時間為 2 小時

Week 2: Reading Data in Python

完成時間為 2 小時
6 個視頻 (總計 54 分鐘)
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 Files8分鐘
Review: Simple Statistics10分鐘
Python: Reading Data and Simple Statistics45分鐘
3

3

完成時間為 1 小時

Week 3: Data Processing in Python

完成時間為 1 小時
4 個視頻 (總計 38 分鐘)
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 Cleaning5分鐘
Review: Processing Different Data Types5分鐘
Data Processing in Python30分鐘
4

4

完成時間為 2 小時

Week 4: Python Libraries and Toolkits

完成時間為 2 小時
5 個視頻 (總計 45 分鐘)
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: NumPy4分鐘
Review: MatPlotLib6分鐘
Review: urllib and BeautifulSoup6分鐘
Python Libraries and Toolkits15分鐘

審閱

來自BASIC DATA PROCESSING AND VISUALIZATION的熱門評論

查看所有評論

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 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

常見問題

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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