此课程是 100% 在线学习吗？是否需要现场参加课程？
Time to completion can vary widely based on your schedule. Most learners are able to complete the Specialization in 4-5 months.
Each course in the Specialization is offered on a regular schedule with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over.
What background knowledge is necessary?
Comfortable with computer programming in multiple programming languages
Basic knowledge of probability and statistics
Do I need to take the courses in a specific order?
It is recommended that the courses in the Specialization be taken in the order outlined. In the Capstone Project, you will have the opportunity to synthesize your learning in all the courses and apply your combined skills in a final project.
MCS courses in Coursera do not carry University of Illinois credit on their own. Each course has an enhanced for-credit component. You can earn academic credit if you combine an MCS Coursera course with the enhanced for-credit component offered on the University of Illinois platform. Some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
What will I be able to do upon completing the Specialization?
At completion of this Specialization in Data Mining, you will (1) know the basic concepts in pattern discovery and clustering in data mining, information retrieval, text analytics, and visualization, (2) understand the major algorithms for mining both structured and unstructured text data, and (3) be able to apply the learned algorithms to solve real-world data mining problems.