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.

课程信息
This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.
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
This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.
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
授课大纲 - 您将从这门课程中学到什么
Introduction
Exploratory Data Analysis (EDA)
Interactive Visual Analytics and Dashboard
Predictive Analysis (Classification)
审阅
- 5 stars80.24%
- 4 stars14.17%
- 3 stars3.12%
- 2 stars1.10%
- 1 star1.35%
来自APPLIED DATA SCIENCE CAPSTONE的热门评论
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 .
An excellent course! Requires you to bring together a large part of the material learned in previous courses.
Furthermore, adds new skills like creating a presentation using PowerPoint.
This course is instructive and challenging at the same time. Now I do wish I know a bit more about python and pandas before I jump in this course. But in the end I managed to get through.
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.
常见问题
我什么时候能够访问课程视频和作业?
我订阅此证书后会得到什么?
还有其他问题吗?请访问 学生帮助中心。