课程信息

220,142 次近期查看

学生职业成果

65%

完成这些课程后已开始新的职业生涯

50%

通过此课程获得实实在在的工作福利
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)
可灵活调整截止日期
根据您的日程表重置截止日期。
初级
完成时间大约为18 小时
英语(English)
字幕:英语(English), 越南语

您将获得的技能

StatisticsData ScienceInternet Of Things (IOT)Apache Spark

学生职业成果

65%

完成这些课程后已开始新的职业生涯

50%

通过此课程获得实实在在的工作福利
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)
可灵活调整截止日期
根据您的日程表重置截止日期。
初级
完成时间大约为18 小时
英语(English)
字幕:英语(English), 越南语

提供方

IBM 徽标

IBM

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up86%(2,537 个评分)Info
1

1

完成时间为 5 小时

Introduction the course and grading environment

完成时间为 5 小时
2 个视频 (总计 3 分钟), 3 个阅读材料, 3 个测验
2 个视频
Overview of technology used within the course1分钟
3 个阅读材料
Intro to Apache Spark10分钟
Assignment and Exercise Environment Setup10分钟
IMPORTANT: How to submit your programming assignments10分钟
1 个练习
Challenges, terminology, methods and technology2分钟
2

2

完成时间为 5 小时

Tools that support BigData solutions

完成时间为 5 小时
7 个视频 (总计 48 分钟), 2 个阅读材料, 4 个测验
7 个视频
Parallel data processing strategies of Apache Spark7分钟
Programming language options on ApacheSpark10分钟
Functional programming basics6分钟
Introduction of Cloudant2分钟
Resilient Distributed Dataset and DataFrames - ApacheSparkSQL6分钟
OPTIONAL: Test Data Generator (data is provided for you already)8分钟
2 个阅读材料
Apache Parquet (optional)42分钟
Create the data on your own (optional)10分钟
3 个练习
Data storage solutions, and ApacheSpark12分钟
Programming language options and functional programming12分钟
ApacheSparkSQL and Cloudant12分钟
3

3

完成时间为 4 小时

Scaling Math for Statistics on Apache Spark

完成时间为 4 小时
7 个视频 (总计 35 分钟), 1 个阅读材料, 4 个测验
7 个视频
Averages5分钟
Standard deviation3分钟
Skewness3分钟
Kurtosis2分钟
Covariance, Covariance matrices, correlation13分钟
Multidimensional vector spaces5分钟
1 个阅读材料
Exercise 210分钟
3 个练习
Averages and standard deviation10分钟
Skewness and kurtosis10分钟
Covariance, correlation and multidimensional Vector Spaces16分钟
4

4

完成时间为 4 小时

Data Visualization of Big Data

完成时间为 4 小时
4 个视频 (总计 24 分钟), 2 个阅读材料, 2 个测验
4 个视频
Plotting with ApacheSpark and python's matplotlib12分钟
Dimensionality reduction4分钟
PCA5分钟
2 个阅读材料
Exercise on Plotting10分钟
Exercise on PCA10分钟
1 个练习
Visualization and dimension reduction10分钟

审阅

来自FUNDAMENTALS OF SCALABLE DATA SCIENCE的热门评论

查看所有评论

关于 Advanced Data Science with IBM 专项课程

As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability. If you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging....
Advanced Data Science with IBM

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:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • 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.
  • 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。

  • 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

  • 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

  • If you have started a course that depends on the IBM Bluemix, and your trial has expired, you can continue taking the course on the same environment by providing your credit card information. To avoid being charged, close any application instances you are not using and pay attention to the usage of your environment details.

    Alternative, you can export any projects you are working on. Then, you can register for a new trial using a different email account, not used on IBM Bluemix before. Finally, import the projects to the new account.

    When exporting your projects, for Node-RED use the process used when submitting assignments (export flow form the old project, then import to the new project via clipboard). For Node.js you can redeploy the code to Bluemix using your new account credentials.

    If you have customized your GIT repository, or registered devices, migrating to a new environment will require you to redo those steps to reflect in the new environment.

  • If you already have an IBM Bluemix account, but your trial period has expired, you can always create a new account with a different email address.

还有其他问题吗?请访问 学生帮助中心