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.
提供方
課程信息
21,368 次近期查看
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。
第 4 門課程（共 4 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為35 小時
英語（English）
字幕：英語（English）
您將學到的內容有
Develop a project proposal and select your data
Perform descriptive statistics as part of your exploratory analysis
Develop metrics and perform advanced techniques in SQL
Present your findings and make recommendations
您將獲得的技能
Presentation SkillsData AnalysisSQLcreating metricsExploratory Data Analysis
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。
第 4 門課程（共 4 門）
可靈活調整截止日期
根據您的日程表重置截止日期。
中級
完成時間大約為35 小時
英語（English）
字幕：英語（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.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 9 小時
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.
完成時間為 9 小時
12 個視頻 （總計 48 分鐘）, 4 個閱讀材料, 1 個測驗
12 個視頻
Milestone 1 Introduction1分鐘
The Proposal Process3分鐘
Import of Elon Musk Data5分鐘
Initial Feature Exploration / Hypotheses8分鐘
Entity Relationship Diagram (ERD) for Analysis2分鐘
Data Models, Part 1: Thinking About Your Data5分鐘
Data Models, Part 2: The Evolution of Data Models3分鐘
Data Models, Part 3: Relational vs. Transactional Models5分鐘
SQL in Notebooks3分鐘
Import Data2分鐘
Introduction of Data of Unknown Quality1分鐘
4 個閱讀材料
A Note from UC Davis10分鐘
Choose Your Client/Dataset30分鐘
Connecting to Mode Analytics20分鐘
Welcome to Peer Review Assignments!10分鐘
完成時間為 8 小時
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.
完成時間為 8 小時
7 個視頻 （總計 39 分鐘）, 1 個閱讀材料, 1 個測驗
7 個視頻
Importance of Understanding Your Data2分鐘
Foundational Stats in SQL/Sheets9分鐘
Pandas Teach on Stats5分鐘
Visualization with raw graphics.io6分鐘
Impact of Findings on Hypotheses5分鐘
Statistics Refresher (Optional)8分鐘
1 個閱讀材料
Additional Resources20分鐘
完成時間為 8 小時
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.
完成時間為 8 小時
5 個視頻 （總計 28 分鐘）
5 個視頻
TF-IDF for Word Frequency / Theme Analysis7分鐘
Text Analysis of Elon Musk Tweets5分鐘
Create a New Metric5分鐘
Analyze Results7分鐘
完成時間為 10 小時
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.
完成時間為 10 小時
12 個視頻 （總計 61 分鐘）, 7 個閱讀材料, 1 個測驗
12 個視頻
Sample Output / Presentation7分鐘
Module Introduction1分鐘
Working with Text Strings7分鐘
Working with Date and Time Strings5分鐘
Date and Time Strings Examples5分鐘
Case Statements7分鐘
Views6分鐘
Data Governance and Profiling5分鐘
Using SQL for Data Science, Part 15分鐘
Using SQL for Data Science, Part 26分鐘
Course Summary57
7 個閱讀材料
Resources on the Who, What, Why, and How20分鐘
Resources on Audience30分鐘
Dashboard and Storytelling with Data10分鐘
Finding the Story10分鐘
Prioritizing, Optimizing and Designing the Data Story10分鐘
Tell the Story of Your Data10分鐘
Additional SQL Resources to Explore15分鐘
關於 Learn SQL Basics for Data Science 專項課程
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.
常見問題
我什么时候能够访问课程视频和作业？
注册以便获得证书后，您将有权访问所有视频、测验和编程作业（如果适用）。只有在您的班次开课之后，才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程，可能无法访问某些作业。
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。
退款政策是如何规定的？
如果订阅，您可以获得 7 天免费试听，在此期间，您可以取消课程，无需支付任何罚金。在此之后，我们不会退款，但您可以随时取消订阅。请阅读我们完整的退款政策。
有助学金吗？
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。
還有其他問題嗎？請訪問 學生幫助中心。