课程信息

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100% 在线
立即开始,按照自己的计划学习。
第 2 门课程(共 6 门)
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高级
完成时间大约为9 小时
英语(English)
字幕:英语(English)

您将获得的技能

Data ScienceInformation EngineeringArtificial Intelligence (AI)Machine LearningPython Programming
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 2 门课程(共 6 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
高级
完成时间大约为9 小时
英语(English)
字幕:英语(English)

提供方

IBM 徽标

IBM

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 4 小时

Data Analysis

完成时间为 4 小时
6 个视频 (总计 26 分钟), 11 个阅读材料, 6 个测验
6 个视频
Introduction to Data Visualizations3分钟
Data Visualizations7分钟
Introduction to Missing Values4分钟
Missing Values4分钟
Case Study Introduction2分钟
11 个阅读材料
Why is Exploratory Data Analysis Necessary?3分钟
Data Visualization: Through the Eyes of Our Working Example3分钟
Getting Started / Unit Materials2分钟
Data Visualization in Python3分钟
Missing Data: Introduction2分钟
Strategies for Missing Data3分钟
Categories of Missing Data2分钟
Simple Imputation2分钟
Bayesian Imputation10分钟
Case Study: Getting started2分钟
Summary/Review5分钟
4 个练习
Check for Understanding: EDA2分钟
Check for Understanding: Data Visualization4分钟
Check for Understanding: Missing Data4分钟
Data Analysis Module Quiz5分钟
2

2

完成时间为 4 小时

Data Investigation

完成时间为 4 小时
3 个视频 (总计 16 分钟), 14 个阅读材料, 3 个测验
3 个视频
Hypothesis Testing10分钟
Case Study Introduction2分钟
14 个阅读材料
TUTORIAL: IBM Watson Studio dashboard10分钟
Hypothesis Testing: Through the eyes of our Working Example10分钟
Overview2分钟
Statistical Inference2分钟
Business Scenarios and Probability3分钟
Variants on t-tests2分钟
One-way Analysis of Variance (ANOVA)4分钟
p-value Limitations10分钟
Multiple Testing4分钟
Explain Methods for Dealing with Multiple Testing3分钟
Getting Started3分钟
Import the Data4分钟
Data Processing (Includes Assessment)2小时
Summary/Review4分钟
3 个练习
Check for Understanding: Hypothesis Testing4分钟
Check for Understanding: Hypothesis Testing Limitations2分钟
Data Investigation Module Quiz5分钟

审阅

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关于 IBM AI Enterprise Workflow 专项课程

This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company. Throughout this specialization, the focus will be on the practice of data science in large, modern enterprises. You will be guided through the use of enterprise-class tools on the IBM Cloud, tools that you will use to create, deploy and test machine learning models. Your favorite open source tools, such a Jupyter notebooks and Python libraries will be used extensively for data preparation and building models. Models will be deployed on the IBM Cloud using IBM Watson tooling that works seamlessly with open source tools. After successfully completing this specialization, you will be ready to take the official IBM certification examination for the IBM AI Enterprise Workflow....
IBM AI Enterprise Workflow

常见问题

  • 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:

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  • 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

  • This course assumes that you are already familiar with basic data science concepts including probability and statistics, linear algebra, machine learning, and the use of Python and Jupyter. Additionally, you should have already completed the first course in this specialization: AI Workflow: Business Priorities and Data Ingestion.

  • No. The certification exam is administered by Pearson VUE and must be taken at one of their testing facilities. You may visit their site at https://home.pearsonvue.com/ for more information.

  • Please visit the Pearson VUE web site at https://home.pearsonvue.com/ for the latest information on taking the AI Enterprise Workflow certification test.

  • It is highly recommended that you have at least a basic working knowledge of design thinking and Watson Studio prior to taking this course. Please visit the IBM Skills Gateway at http://ibm.com/training/badges and "Find a Badge" related to "design thinking" or "Watson Studio". From there you will be directed to courses covering these topics.

  • No. Most of the exercises may be completed with open source tools running on your personal computer. However, the exercises are designed with an enterprise focus and are intended to be run in an enterprise environment that allows for easier sharing and collaboration. The exercises in the last two modules of the course are heavily focused on deployment and testing of machine learning models and use the IBM Watson tooling found on the IBM Cloud.

  • Yes. All IBM Cloud Data and AI services are based upon open source technologies.

  • The exercises in the course may be completed by anyone using the IBM Cloud "Lite" plan, which is free for use.

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