Data Science Fundamentals in R Course

Course details

In this course, you will learn the fundamental techniques and methods data scientists use in their everyday work.
Individuals with some statistics, programming, and machine learning experience who wish to learn machine learning methods in R used in data science in R.

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The course covers the following concepts.

Fundamental Methods for Data Science in R (Course:  2 Hours, 17 Minutes)

• Introduction (11 Minutes)
• Important R Basics (28 Minutes)
• Data Management (32 Minutes)
• Data Analysis (45 Minutes)
• Time Series (8 Minutes)
• Practice: Data Science Fundamentals in R (15 Minutes)

Machine Learning Examples for Data Science in R (2 Hours, 29 Minutes)

• Introduction (5 Minutes)
• Clustering (34 Minutes)
• Classification and Regression (1 Hour, 11 Minutes)
• Boosting and Bagging (11 Minutes)
• Advanced Visualisations (15 Minutes)
• Practice: Machine Learning Examples in R (15 Minutes)

Updated on 20 November, 2017