This is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python Specialization. This capstone project course will give you the chance to practice the work that data scientists do in real life when working with datasets.
IBM 技能网络课程信息
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100% 在线
立即开始，按照自己的计划学习。
中级
This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.
完成时间大约为17 小时
英语（English）
对员工进行热门技能培训能否为您的公司带来益处？
体验 Coursera 企业版您将学到的内容有
Demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholders
Apply your skills to perform data collection, data wrangling, exploratory data analysis, data visualization model development, and model evaluation
Write Python code to create machine learning models including support vector machines, decision tree classifiers, and k-nearest neighbors
Evaluate the results of machine learning models for predictive analysis, compare their strengths and weaknesses and identify the optimal model
您将获得的技能
- Methodology
- Github
- Jupyter Notebook
- Data Science Methodology
- K-Means Clustering
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。
中级
This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.
完成时间大约为17 小时
英语（English）
对员工进行热门技能培训能否为您的公司带来益处？
体验 Coursera 企业版
提供方
开始攻读学士学位
此 课程 隶属于 IBM 技能网络 提供的 100% 在线 Bachelor of Science in Computer Science。
如果您被录取参加全部课程，您的课程将计入您的学位学习进程。
授课大纲 - 您将从这门课程中学到什么
完成时间为 7 小时
Introduction
完成时间为 7 小时
3 个视频 （总计 10 分钟）, 1 个阅读材料, 8 个测验
完成时间为 3 小时
Exploratory Data Analysis (EDA)
完成时间为 3 小时
1 个视频 （总计 2 分钟）
完成时间为 3 小时
Interactive Visual Analytics and Dashboard
完成时间为 3 小时
1 个视频 （总计 2 分钟）
完成时间为 2 小时
Predictive Analysis (Classification)
完成时间为 2 小时
1 个视频 （总计 1 分钟）
审阅
- 5 stars80.20%
- 4 stars14.21%
- 3 stars3.14%
- 2 stars1.10%
- 1 star1.33%
来自APPLIED DATA SCIENCE CAPSTONE的热门评论
由 AM 提供Aug 8, 2020
This course gives a good overall exposure, in terms of providing the freedom to choose your own set of tasks and explore things on your own, just like any real life projects. I enjoyed it!
由 TH 提供Jul 9, 2019
This is a great course and lots of fun. But it is a big commitment and you need to take it seriously. To get the most out of this course you will need to spend at least 30 hours doing it.
由 GG 提供Oct 9, 2020
The capstone project was difficult. I struggled to incorporate the concepts I learned throughout this training in the final project, however I don't have any statistics background .
由 HA 提供Dec 12, 2019
A real data science projet. This one took me the most time between all other courses in this formation. I is useful and make you work with real problems and searching for real data.
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