Data Science with R
Data Science with R
Learning Outcomes
After attending the course, the participants:
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Will be able to demonstrate understanding of basic Data Science concepts
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Will be able to demonstrate knowledge of R programming constructs
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Will be able to demonstrate knowledge of data handling, data visualization and analytics using different R libraries like dplyr, ggplot2, caret, etc.
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• Will be able to demonstrate knowledge of data pre-processing and basics of model training and evaluation.
Details Plan:
• Introduction to Data Science.
• Starting to program in R.
• Data types in R.
• Loops and conditionals.
• Functions.
• R libraries.
• Data handling.
• Data pre-processing.
• Data holdout.
• Introduction to modelling.
Pre-requisite:
• Basic programming knowledge.
Duration
• 20 Hours