4.5

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230 個評分

Kate Sullivan 另外 +3 位授課教師

5,497 人已註冊

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Data Science with Databricks for Data Analysts 專項課程数据块

您將學到的內容有

Discover how Databricks and Apache Spark simplify big data processing and optimize data analysis.

Frame business problems for data science and machine learning to make the most out of big data analytic workflows.

Solve real-world business problems quickly using Databricks to power the most popular data science techniques.

Ingest, transform, and query data to extract valuable insights.

您將獲得的技能

Data Science
Data Analysis
Machine Learning
Spark SQL
SQL
Databricks

關於此專項課程

7,850 次近期查看

This specialization is intended for data analysts looking to expand their toolbox for working with data. Traditionally, data analysts have used tools like relational databases, CSV files, and SQL programming, among others, to perform their daily workflows. In this specialization, you will leverage existing skills to learn new ones that will allow you to utilize advanced technologies not traditionally linked to this role - technologies like Databricks and Apache Spark. By the end of this specialization, you'll be able to solve real-world business problems with Databricks and the most popular machine learning techniques.

應用的學習項目

In this specialization, you'll complete a series of hands-on lab assignments and projects. The lab assignments will allow you to test-drive Databricks and Apache Spark to streamline today's most popular data science workflows. You will also apply the latest data science strategies to complete and assess your very own data science project.

可分享的證書

完成後獲得證書

100% 在線課程

立即開始，按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

中級

Familiarity with SQL and Python will help you as you progress through this specialization.

完成課程大約需要 5 個月

建議進度：2 小時/週

英語（English）

字幕：英語（English）

可分享的證書

完成後獲得證書

100% 在線課程

立即開始，按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

中級

Familiarity with SQL and Python will help you as you progress through this specialization.

完成課程大約需要 5 個月

建議進度：2 小時/週

英語（English）

字幕：英語（English）

專項課程的運作方式

加入課程

Coursera 專項課程是幫助您掌握一門技能的一系列課程。若要開始學習，請直接註冊專項課程，或預覽專項課程並選擇您要首先開始學習的課程。當您訂閱專項課程的部分課程時，您將自動訂閱整個專項課程。您可以只完成一門課程，您可以隨時暫停學習或結束訂閱。訪問您的學生面板，跟踪您的課程註冊情況和進度。

實踐項目

每個專項課程都包括實踐項目。您需要成功完成這個（些）項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程，則需要在開始之前完成其他所有課程。

獲得證書

在結束每門課程並完成實踐項目之後，您會獲得一個證書，您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。

此專項課程包含 3 門課程

課程1

課程 1

Apache Spark (TM) SQL for Data Analysts

4.6

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259 個評分

•

70 條評論

Apache Spark is one of the most widely used technologies in big data analytics. In this course, you will learn how to leverage your existing SQL skills to start working with Spark immediately. You will also learn how to work with Delta Lake, a highly performant, open-source storage layer that brings reliability to data lakes. By the end of this course, you will be able to use Spark SQL and Delta Lake to ingest, transform, and query data to extract valuable insights that can be shared with your team.

課程2

課程 2

Data Science Fundamentals for Data Analysts

3.7

星

17 個評分

•

6 條評論

In this course we're going to guide you through the fundamental building blocks of data science, one of the fastest-growing fields in the world!

With the help of our industry-leading data scientists, we’ve designed this course to build ready-to-apply data science skills in just 15 hours of learning. First, we’ll give you a quick introduction to data science - what it is and how it is used to solve real-world problems. For the rest of the course, we'll teach you the skills you need to apply foundational data science concepts and techniques to solve these real-world problems. By the end of this course, you'll be able to leverage your existing data analysis skills to design, execute, assess, and communicate the results of your very own data science projects.

課程3

課程 3

Applied Data Science for Data Analysts

4.2

星

24 個評分

•

6 條評論

In this course, you will develop your data science skills while solving real-world problems. You'll work through the data science process to and use unsupervised learning to explore data, engineer and select meaningful features, and solve complex supervised learning problems using tree-based models. You will also learn to apply hyperparameter tuning and cross-validation strategies to improve model performance.

授課教師

提供方

数据块

Databricks is the data and AI company. Founded by the creators of Apache Spark™, Delta Lake and MLflow, organizations like Comcast, Condé Nast, Nationwide and H&M rely on Databricks’ open and unified platform to enable data engineers, scientists and analysts to collaborate and innovate faster.

常見問題

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。
我可以只注册一门课程吗？
可以！点击您感兴趣的课程卡开始注册即可。注册并完成课程后，您可以获得可共享的证书，或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分，系统会自动为您订阅完整的专项课程。访问您的学生面板，跟踪您的进度。
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。
我可以免费学习课程吗？
完成注册课程后，您可以学习专项课程中的所有课程，并且完成作业后可以获得证书。如果您只想阅读和查看课程内容，可以免费旁听该课程。如果您无法承担课程费用，可以申请助学金。
此课程是 100% 在线学习吗？是否需要现场参加课程？
此课程完全在线学习，无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。
完成专项课程需要多长时间？
This specialization includes approximately 35 hours of content. If you are able to complete two to three hours of content a week, it will take you about approximately three and a half months to complete.
What background knowledge is necessary?
While not required, familiarity with SQL will be helpful as you progress through this specialization.
Do I need to take the courses in a specific order?
Yes. Courses should be taken in this order:
Apache Spark SQL for Data Analysts
Data Science Fundamentals for Data Analysts
Applied Data Science for Data Analysts
完成专项课程后我会获得大学学分吗？
You will not earn university credit for completing this Specialization.
What will I be able to do upon completing the Specialization?
You'll be able to use Databricks, along with the latest data science techniques to solve real-world business problems.

還有其他問題嗎？請訪問學生幫助中心。