R-Studio
This course aims to cover the fundamental aspects of RStudio, whilst also providing some practical examples of how to use RStudio in a data science use case. This course provides varied difficulty of material to test whether the concepts covered in the lectures have been understood and can be applied.
Course Key Learnings:
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Fundamentals of R Studio
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Data Preparation within R Studio
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Create Visualisations within R Studio
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Build Working Functions
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Work With Loops Such As For, If, Ifelse & While
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Data Science
Course Content:
Module1: R Studio setup
- Introduction
- Understanding R and RStudio
Module 2: Familarsing
- Working Directories
- Packages – Understanding, Installing & Loading
- Basic Operations – Mathematics
- Variables – What, Where and How
- Commenting – Usefulness and Best Practice
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For Loop
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While Loop
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If/If else Statement
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Function
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Number Tower Challenge
- Vector
- Matrices
- Arrays
- Lists
- Data Frames
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Import and Write Excel
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Import and Write HTML
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Importing and Writing Files
Module6: Data Cleaning:
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Overview Data – Understand the Data’s Purpos
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Sensechecking Data – Does the Data make sense
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Dealing with NAs/Missing Value
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Descriptive Statistic
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Titanic Dataset Test
Module7: Data Visualisation
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Base R Visualisation
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Ggplot Visualisation
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Plotly Visualisations
Who this course is for:
- Beginner R Studio users with an interest in data analysis
- Data Scientists wanting to learn RStudio
International Student Fee : 400$ USD
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