This capstone is the last course in the Data Analytics in Accountancy Specialization. In this capstone course, you are going to take the knowledge and skills you have acquired from the previous courses and apply them to a real-world problem.
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Accounting Data Analytics 专项课程伊利诺伊大学香槟分校课程信息
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第 4 门课程（共 4 门）
中级
完成时间大约为19 小时
英语（English）
字幕：法语（French）, （欧洲人讲的）葡萄牙语, 爪哇语, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
您将获得的技能
- Data Analysis
- Python Programming
- Machine Learning
- Data Visualization (DataViz)
可灵活调整截止日期
根据您的日程表重置截止日期。
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 4 门课程（共 4 门）
中级
完成时间大约为19 小时
英语（English）
字幕：法语（French）, （欧洲人讲的）葡萄牙语, 爪哇语, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
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伊利诺伊大学香槟分校
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
授课大纲 - 您将从这门课程中学到什么
完成时间为 6 小时
Week 1
In this module, you will become familiar with the course, your instructor and your classmates, and our learning environment. This orientation will also help you obtain the technical skills required to navigate and be successful in this course. You will also learn how Lending Club works, get familiar with the loan dataset and explore the characteristics of features in the dataset.
完成时间为 6 小时
4 个视频 （总计 18 分钟）, 5 个阅读材料, 1 个测验
完成时间为 5 小时
Week 2
In this module, you will prepare data for a classification model; then train the model and predict whether a loan will be fully paid with the model. Finally, you will evaluate your model.
完成时间为 5 小时
1 个视频 （总计 15 分钟）, 1 个阅读材料, 1 个测验
完成时间为 7 小时
Week 3
In this module, you will construct a loan portfolio with the help of the analysis done in Module 1 and the classification model created in Module 2. You will also explore other ways to improve the portfolio return.
完成时间为 7 小时
2 个视频 （总计 17 分钟）, 3 个阅读材料, 1 个测验
关于 Accounting Data Analytics 专项课程
This specialization develops learners’ analytics mindset and knowledge of data analytics tools and techniques. Specifically, this specialization develops learners' analytics skills by first introducing an analytic mindset, data preparation, visualization, and analysis using Excel. Next, this specialization develops learners' skills of using Python for data preparation, data visualization, data analysis, and data interpretation and the ability to apply these skills to issues relevant to accounting. This specialization also develops learners’ skills in machine learning algorithms (using Python), including classification, regression, clustering, text analysis, time series analysis, and model optimization, as well as their ability to apply these machine learning skills to real-world problems.
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