Data Science with R: Machine Learning
- Intermediate
- 18 and older
- $2,990
- Virtual Classroom
- 35 hours over 5 sessions
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Any student wishing to withdraw from a program must notify CourseHorse in writing. The date of withdrawal for refund purposes is the last date of physical attendance. The failure of a student to notify us in writing of withdrawal may delay refund of tuition due pursuant to Section 5001 and 5002 of the Education Law.
Any student requesting cancellation within seven days after signing the Enrollment Agreement but before instruction begins will be refunded all money paid less 5% cancellation fee. Thereafter, in the event of cancellation or termination by the school, refunds will be prorated based on the student's last date of attendance.
The students who took the Data Science with R: Machine Learning course found it to be intense but extremely valuable. They praised the instructor, Shu Yan, for his ability to explain complicated statistical concepts and translate them into R coding techniques. The course materials, in-class practices, and homework assignments were all helpful for learning and future reference. Many students felt that the course was a good starting point for those interested in data science and machine learning, as it improved their understanding and coding skills in R. The classes were well-structured and covered a wide range of practical techniques that could be applied to real-world work. Additionally, the opportunity to network with classmates who had industry experience was seen as a valuable aspect of the course. Overall, students were satisfied with what they learned and would recommend the course to others. "I would recommend this course to anyone who is interested in data science/machine learning but doesn't know much about this field." "I took Machine Learning with R and Hadoop data engineering classes in 2015. They are all well-structured classes with extensive information coverage and concrete learning process design. All the techniques told in the class are very practical and can be applied to work very fast." "Took the weekend course for Machine Learning with R. Course was very helpful in helping me understand the basics of Machine Learning and different models. My instructor was Luke. He was very helpful and would spend enough time covering each topic. He even took an additional class because he didn't want to rush through the material."
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