No pre-requisites are required to attend this course
OPEN FOR ALL!
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DATA SCIENCE USING R
This is an introductory and beginners’ course to learning and understanding the fundamentals of coding in R and its applications to Data Science.
What you'll learn
This programme is aligned with the current requirements of the industry today. Today Data Analysts and Data Scientists are required to use languages and statistical packages in R. This workshop aims at quickly speeding up a beginner analyst to using R as a data science tool.
We help you learn the way you want.
The programme will define data science and explore the main things a data analyst/scientist must do – cleaning and visualizing data, the Data Science Workflow, Web Scraping and basic machine learning models. The participants will learn and use various R packages for these tasks. At the end of the programme, the participant should have a working knowledge of how to solve data science problems with R.
Learn In No Time
Course Duration
1
Hours
1
Days
Have a look
Course Plan
- Introduction to R and the Ecosystem
- Working with R Markdowns
- Basics of R Recap:
- Data Types
- Conditional and Flow Control Execution
- Functions
- Data Analytics Process
- Data Acquisition (File-based)
- Data Cleaning and Manipulation
- Tidy Data Concepts/Application
- Statistical Analysis with R
- Summary Statistics
- Correlations and similar techniques
- Linear Regression
- Hypothesis Testing
- Web scraping with R
- Exploratory Data Analysis in R
- Data Visualizations in R using
- ggplot
- rgl (3D plots)
- leaflet (Maps)
- Basics of supervised and unsupervised learning
- Supervised machine learning (classification) using caret/nnets.
- Unsupervised machine learning using k-means clustering.
- How to build a shiny app
- User Interface (UI)
- Server
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