Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data?
Practical Data Science with MATLAB 专项课程
来自PRACTICAL DATA SCIENCE WITH MATLAB的热门评论
Highly recommended for people with patience, and deep interest in Data Processing and Feature Engineering. It is not easy. However, MATLAB instructional tools make this process so much simplified!
The course content and delivery are top-notch. I like the practicals, quizzes and exams which help to deepen understanding. For me, they'll always be a treasure load of reference materials.
Overall I will rate it 9/10 which is really good. Only downside for me is that it was really fast, not enough interactive assignments and sometimes difficult to follow
The course is good and very well structured. It helps you understand the steps involved in feature engineering and provides proper ways to implement them in MATLAB.
A great course. I'm very satisfied. The course allow me use Matlab in ways that will be very helpful to my work. I'm waiting for course 2
Fun (and easy) with the nice addition of playing with the Matlab functions yourself thanks to the temporary toolbox licenses.
This course give a basic understanding of Data analysis in Matlab. Course is very fundamental and beneficial for beginners.
Excellent, well-organized course with great instructors and lectures. I enjoyed the peer-reviewed project.
此课程是 100% 在线学习吗？是否需要现场参加课程？
What background knowledge is necessary?
Basic math, statistics and some experience working with spreadsheets will be helpful. No prior experience with MATLAB or programming is necessary.
Will I have access to MATLAB?
What will I be able to do upon completing the Specialization?
You will be able to:
- Import data from a variety of sources into MATLAB
- Create compelling visualizations
- Analyze and calculate statistics on groups of data
- Perform common data cleaning techniques
- Identify and create new features for machine learning models
- Apply common machine learning methods and evaluate their performance
Do I need to take the courses in a specific order?
It is recommended that you take the courses in order. The skills gained in course one is considered pre-requiste knowledge for course two.