The R programming language is purpose-built for data analysis. R is the key that opens the door between the problems that you want to solve with data and the answers you need to meet your objectives. This course starts with a question and then walks you through the process of answering it through data. You will first learn important techniques for preparing (or wrangling) your data for analysis. You will then learn how to gain a better understanding of your data through exploratory data analysis, helping you to summarize your data and identify relevant relationships between variables that can lead to insights. Once your data is ready to analyze, you will learn how to develop your model and evaluate and tune its performance. By following this process, you can be sure that your data analysis performs to the standards that you have set, and you can have confidence in the results.
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
- 5 stars82.75%
- 4 stars11.03%
- 3 stars2.75%
- 2 stars1.37%
- 1 star2.06%
来自DATA ANALYSIS WITH R的热门评论
One of the best courses for learning R programming and data analysis.
I could not use WatsonStudio and used RStudio instead. It might have caused problems to the reviewers of peer assignment. Course content is good.
this course is not for the week, its not challenging but you have to litle dictated...
It is excellent course. I recommend for all that do not have a lot of knowledge and experience in data analysis with R Programming. Thank you for this opportunity.