Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.
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课程信息
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第 4 门课程（共 4 门）
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中级
完成时间大约为35 小时
英语（English）
字幕：英语（English）
您将获得的技能
Presentation SkillsData AnalysisSQLcreating metricsExploratory Data Analysis
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 4 门课程（共 4 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为35 小时
英语（English）
字幕：英语（English）
提供方
加州大学戴维斯分校
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
教学大纲 - 您将从这门课程中学到什么
完成时间为 9 小时
Getting Started and Milestone 1: Project Proposal and Data Selection/Preparation
In this first milestone, you will select your client and import your dataset. You will begin to explore your data to understand it and make assumptions about your data. You will draft a project proposal to act as a guide as you explore your data and prove or disprove your hypotheses.
完成时间为 9 小时
12 个视频 （总计 48 分钟）, 4 个阅读材料, 1 个测验
12 个视频
Milestone 1 Introduction1分钟
The Proposal Process3分钟
Import of Elon Musk Data5分钟
Initial Feature Exploration / Hypotheses8分钟
Entity Relationship Diagram (ERD) for Analysis2分钟
Data Models, Part 1: Thinking About Your Data5分钟
Data Models, Part 2: The Evolution of Data Models3分钟
Data Models, Part 3: Relational vs. Transactional Models5分钟
SQL in Notebooks3分钟
Import Data2分钟
Introduction of Data of Unknown Quality1分钟
4 个阅读材料
A Note from UC Davis10分钟
Choose Your Client/Dataset30分钟
Connecting to Mode Analytics20分钟
Welcome to Peer Review Assignments!10分钟
完成时间为 8 小时
Milestone 2: Descriptive Stats & Understanding Your Data
In this milestone, you will start to execute your project proposal. You will start looking at your data and perform initial statistic models to explore your data and determine what you have available to you.
完成时间为 8 小时
7 个视频 （总计 39 分钟）, 1 个阅读材料, 1 个测验
7 个视频
Importance of Understanding Your Data2分钟
Foundational Stats in SQL/Sheets9分钟
Pandas Teach on Stats5分钟
Visualization with raw graphics.io6分钟
Impact of Findings on Hypotheses5分钟
Statistics Refresher (Optional)8分钟
1 个阅读材料
Additional Resources20分钟
完成时间为 8 小时
Milestone 3: Beyond Descriptive Stats (Dive Deeper/Go Broader)
In this milestone, you will go beyond the descriptive statistics you completed in the last milestone. This milestone is really about diving deeper to analyze your data, beyond descriptive stats. Maybe you need to analyze qualitative data or textual data to get a full picture.
完成时间为 8 小时
5 个视频 （总计 28 分钟）
5 个视频
TF-IDF for Word Frequency / Theme Analysis7分钟
Text Analysis of Elon Musk Tweets5分钟
Create a New Metric5分钟
Analyze Results7分钟
完成时间为 10 小时
Milestone 4: Presenting Your Findings (Storytelling)
In this milestone, you will present your findings. You will identify your audience and create a presentation tailored to them. You will be able to tell the story of analyses and make recommendations.
完成时间为 10 小时
12 个视频 （总计 61 分钟）, 7 个阅读材料, 1 个测验
12 个视频
Sample Output / Presentation7分钟
Module Introduction1分钟
Working with Text Strings7分钟
Working with Date and Time Strings5分钟
Date and Time Strings Examples5分钟
Case Statements7分钟
Views6分钟
Data Governance and Profiling5分钟
Using SQL for Data Science, Part 15分钟
Using SQL for Data Science, Part 26分钟
Course Summary57
7 个阅读材料
Resources on the Who, What, Why, and How20分钟
Resources on Audience30分钟
Dashboard and Storytelling with Data10分钟
Finding the Story10分钟
Prioritizing, Optimizing and Designing the Data Story10分钟
Tell the Story of Your Data10分钟
Additional SQL Resources to Explore15分钟
关于 Learn SQL Basics for Data Science 专项课程
This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.
常见问题
我什么时候能够访问课程视频和作业？
讲座和作业的访问权限取决于您的注册类型。如果您以旁听模式参加课程，则可以免费查看大多数课程资料。要访问评分作业并获得证书，您需要在旁听期间或之后购买证书体验。如果看不到旁听选项：
- 课程可能不提供旁听选项。您可以尝试免费试用，也可以申请助学金。
- 课程可能会改为提供'完整课程，没有证书'。通过此选项，您可以查看所有课程材料、提交所要求的作业，以及获得最终成绩。这也意味着您将无法购买证书体验。
我订阅此专项课程后会得到什么？
您注册课程后，将有权访问专项课程中的所有课程，并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
Is financial aid available?
是的，Coursera 可以为无法承担费用的学生提供助学金。通过点击左侧“注册”按钮下的“助学金”链接可以申请助学金。您可以根据屏幕提示完成申请，申请获批后会收到通知。您需要针对专项课程中的每一门课程完成上述步骤，包括毕业项目。了解更多。
还有其他问题吗？请访问 学生帮助中心。
