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Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
Build models, draw conclusions, and deliver interactive data products.
This specialization continues and expands the material learned in the Data Science: R Fundamentals course. It covers topics such as:
In the final project, you will apply the knowledge learned by building a data product using real-world data. At the end of the courses, learners will receive a portfolio that demonstrates their mastery of the material.
The five courses in this training are the same courses that make up the second half of the Data Science specialization. This specialization is intended for learners who have already mastered the basics and want to move directly to the advanced courses.
Each course in the “Data Science: Statistics and Machine Learning” training includes a practical assignment, which is graded by peers. To obtain the training certificate, you must successfully complete the practical assignment in each course, including the final thesis project.
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