关于此课程： SQL is a powerful language which is used for communicating with databases. Before you step into the field of data science, it is vitally important that you set yourself apart by mastering the foundations of SQL. The purpose of this course is to introduce relational database concepts and help you learn and apply knowledge of the SQL language. Learners will also practice building and running SQL queries hands-on using a cloud-based environment as well as learn how to access databases from Jupyter notebooks using Python.
此课程适用人群： This course is designed for anyone interested in learning SQL, especially those who want to apply SQL for data science. Taking this course does not require any prior knowledge of SQL or databases.
制作方： IBM
教学方： Rav Ahuja, Data Science Program Manager
IBM Cognitive Class
教学方： Hima Vasudevan, Data Scientist
IBM Digital Business Group
| 基本信息 | 课程 4（共 4 门，Introduction to Applied Data Science Specialization ） |
| 级别 | Beginner |
| 承诺学习时间 | 3 weeks of study, 2-4 hours/week. |
| 语言 | English |
| 硬件要求 | Only browser access is required. Access to cloud based environment will be provided for hands-on labs. |
| 如何通过 | 通过所有计分作业以完成课程。 |
常见问题解答
运作方式
Coursework
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制作方
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
价格
| 购买课程 | |
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| 访问课程材料 | 可用 |
| 访问评分的材料 | 可用 |
| 收到最终成绩 | 可用 |
| 获得可共享的课程证书 | 可用 |
