课程详情
Are you a data science practitioner, looking to develop or enhance your skills in predictive analysis and data mining? This course provides several “big picture” insights, via instructor Keith McCormick, a veteran practitioner who has completed dozens of real-world projects. Keith begins by introducing you to key definitions and processes that you will need to complete the course successfully. He steps you through defining the problem you need your predictive analysis to address, then focuses on how to make sure you meet the data requirements and how good data preparation improves your data mining projects. Keith dives into the skill sets and resources that you need and the problems you will face. Then he goes over the steps to find the solution and put it to work with probabilities, propensities, missing data, meta modeling, and much more. Keith finishes up with detailed explanations of CRISP-DM and Tom Khabaza’s nine laws of data mining, plus Tom’s new 10th law.
您将获得的技能
获取证书,展示成果
分享学到的内容,成为理想行业的达人,获取证书,展示您在课程中所学的知识。
领英学习
结业证书
-
在领英档案中的“资格认证”版块下展示
-
下载或打印为 PDF,与他人分享
-
以图片形式在线分享,展现您的技能
了解讲师
学员评价
-
-
Ana Carolina Bock
Ana Carolina Bock
Reporting Analytics | Data Analyst | Data-Driven AI | Lifelong Learner
内容
课程内容
- 知识测验 8 个测验
- 随时随地学习 可在平板电脑和手机上访问
- 了解最新知识 继续教育单元