课程信息

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中级
完成时间大约为13 小时
英语(English)
字幕:英语(English)

您将学到的内容有

  • U​se the collaborative Databricks workspace and write SQL code that executes against a cluster of machines

  • Use Spark UI to analyze performance and identify bottlenecks

  • Create an end-to-end pipeline that reads data, transforms it, and saves the result

  • B​uild a linear regression model and make predictions using SparkSQL

您将获得的技能

Data ScienceApache SparkSQL
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。
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13 小时
英语(English)
字幕:英语(English)

提供方

加州大学戴维斯分校 徽标

加州大学戴维斯分校

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 3 小时

Introduction to Spark

完成时间为 3 小时
6 个视频 (总计 32 分钟), 3 个阅读材料, 2 个测验
6 个视频
Why Distributed Computing?7分钟
Spark DataFrames6分钟
The Databricks Environment8分钟
SQL in Notebooks3分钟
Import Data2分钟
3 个阅读材料
A Note From UC Davis10分钟
Readings and Resources40分钟
Assignment #1 - Queries in Spark SQL30分钟
2 个练习
Assignment #1 Quiz - Queries in Spark SQL30分钟
Module 1 Quiz30分钟
2

2

完成时间为 2 小时

Spark Core Concepts

完成时间为 2 小时
6 个视频 (总计 25 分钟), 2 个阅读材料, 2 个测验
6 个视频
Spark Terminology3分钟
Caching5分钟
Shuffle Partitions7分钟
Spark UI3分钟
Broadcast Joins3分钟
2 个阅读材料
Readings30分钟
Assignment #2 - Spark Internals30分钟
2 个练习
Assignment #2 Quiz - Spark Internals30分钟
Module 2 Quiz30分钟
3

3

完成时间为 3 小时

Engineering Data Pipelines

完成时间为 3 小时
7 个视频 (总计 43 分钟), 2 个阅读材料, 2 个测验
7 个视频
Spark as a Connector6分钟
Accessing Data10分钟
File Formats8分钟
Schemas and Types4分钟
Writing Data6分钟
Managed and Unmanaged Tables4分钟
2 个阅读材料
Readings1小时
Assignment #3 - Engineering Data Pipelines30分钟
2 个练习
Assignment #3 Quiz - Engineering Data Pipelines30分钟
Module 3 Quiz30分钟
4

4

完成时间为 5 小时

Machine Learning Applications of Spark

完成时间为 5 小时
7 个视频 (总计 35 分钟), 2 个阅读材料, 3 个测验
7 个视频
Applications of Machine Learning4分钟
Machine Learning Fundamentals6分钟
Linear Regression6分钟
Training Linear Regression Model8分钟
Applying Machine Learning with UDFs4分钟
Course Summary3分钟
2 个阅读材料
Readings1小时
Assignment #4 - Logistic Regression Classifier10分钟
2 个练习
Assignment #4 Quiz - Logistic Regression Classifier30分钟
Module 4 Quiz30分钟

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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....
Learn SQL Basics for Data Science

常见问题

  • 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:

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    • 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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