課程信息

9,277 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 2 門課程(共 6 門)
可靈活調整截止日期
根據您的日程表重置截止日期。
高級
完成時間大約為8 小時
英語(English)
字幕:英語(English)

您將獲得的技能

Data ScienceInformation EngineeringArtificial Intelligence (AI)Machine LearningPython Programming
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 2 門課程(共 6 門)
可靈活調整截止日期
根據您的日程表重置截止日期。
高級
完成時間大約為8 小時
英語(English)
字幕:英語(English)

提供方

IBM 徽標

IBM

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 4 小時

Data Analysis

完成時間為 4 小時
6 個視頻 (總計 26 分鐘), 11 個閱讀材料, 6 個測驗
6 個視頻
Introduction to Data Visualizations3分鐘
Data Visualizations7分鐘
Introduction to Missing Values4分鐘
Missing Values4分鐘
Case Study Introduction2分鐘
11 個閱讀材料
Why is Exploratory Data Analysis Necessary?3分鐘
Data Visualization: Through the Eyes of Our Working Example3分鐘
Getting Started / Unit Materials2分鐘
Data Visualization in Python3分鐘
Missing Data: Introduction2分鐘
Strategies for Missing Data3分鐘
Categories of Missing Data2分鐘
Simple Imputation2分鐘
Bayesian Imputation10分鐘
Case Study: Getting started2分鐘
Summary/Review5分鐘
4 個練習
Check for Understanding: EDA2分鐘
Check for Understanding: Data Visualization4分鐘
Check for Understanding: Missing Data4分鐘
Data Analysis Module Quiz5分鐘
2

2

完成時間為 3 小時

Data Investigation

完成時間為 3 小時
3 個視頻 (總計 16 分鐘), 14 個閱讀材料, 3 個測驗
3 個視頻
Hypothesis Testing10分鐘
Case Study Introduction2分鐘
14 個閱讀材料
TUTORIAL: IBM Watson Studio dashboard10分鐘
Hypothesis Testing: Through the eyes of our Working Example10分鐘
Overview2分鐘
Statistical Inference2分鐘
Business Scenarios and Probability3分鐘
Variants on t-tests2分鐘
One-way Analysis of Variance (ANOVA)4分鐘
p-value Limitations10分鐘
Multiple Testing4分鐘
Explain Methods for Dealing with Multiple Testing3分鐘
Getting Started3分鐘
Import the Data4分鐘
Data Processing (Includes Assessment)2小時
Summary/Review4分鐘
3 個練習
Check for Understanding: Hypothesis Testing4分鐘
Check for Understanding: Hypothesis Testing Limitations2分鐘
Data Investigation Module Quiz5分鐘

審閱

來自AI WORKFLOW: DATA ANALYSIS AND HYPOTHESIS TESTING的熱門評論

查看所有評論

關於 IBM AI Enterprise Workflow 專項課程

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

常見問題

  • 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

  • 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.

  • 此课程不提供大学学分,但部分大学可能会选择接受课程证书作为学分。查看您的合作院校,了解详情。Coursera 上的在线学位Mastertrack™ 证书提供获得大学学分的机会。

還有其他問題嗎?請訪問 學生幫助中心