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
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第 1 门课程（共 4 门）
中级
Basic knowledge of programming (any language)
完成时间大约为11 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
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
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 1 门课程（共 4 门）
中级
Basic knowledge of programming (any language)
完成时间大约为11 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
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
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.
完成时间为 2 小时
6 个视频 （总计 42 分钟）, 6 个阅读材料, 2 个测验
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.
完成时间为 2 小时
6 个视频 （总计 54 分钟）
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.
完成时间为 1 小时
4 个视频 （总计 38 分钟）
完成时间为 3 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.
完成时间为 3 小时
5 个视频 （总计 45 分钟）
审阅
来自BASIC DATA PROCESSING AND VISUALIZATION的热门评论
由 MK 提供Sep 16, 2020
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.
由 AG 提供Jan 16, 2021
If someone wants to make their carrier in Data science,It is one fundamental course towards it. The course is good with engaging assignments,quizzes and projects.
由 SR 提供Nov 19, 2020
Goes into great detail on ways to actually use the code in sophisticated and useful ways. I feel like this course has started me on building a great python toolkit.
由 YJ 提供Aug 2, 2020
It was a good Data Visualization course. I really liked it. It's a good beginner course to start with Data Visualization.
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.
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