Data Mining and R-Programming

Data Mining with R Programming

In this three-days intensive workshop, each participant will learn the fundamental concept of R and various workflow that we make them a data scientist using R such as data wrangling (cleaning), exploratory data analysis (EDA), and ability to apply R knowledge in solving everyday business data related problems.

- Dimensions of Business Analytics.
- Machine Learning Model Build.
- Introduction to Data Visualization.

Course Duration
15 Days
Course Duration N150,000
Start Date
Oct 25 2021
End Date
Oct 25 2021

Learn more about Delante Training Courses 


Course Overview

We introduce frameworks and ideas that provide insights into a real world of business challenges, understanding your business better and create strategies for growth. We introduce frameworks and ideas that provide insights into a real world of business challenges, understanding your business better and create strategies for growth.

What You'll Learn

 We introduce frameworks and ideas that provide insights into a real world of business challenges,
 We introduce frameworks and ideas that provide insights into a real world of business challenges,

 

 We introduce frameworks and ideas that provide insights into a real world of business challenges,
 We introduce frameworks and ideas that provide insights into a real world of business challenges,

Course Outline

Fundamental Concept of R
  1. History and Overview of R
  2. Data Science Phases
  3. R and RStudio
  4. R as a calculator
  5. Basic classes of objects in R
  6. Variable and Assignment
  7. Basic data structure in R
  8. Conditional statement, loop and function in R
Data Science Workflow
  1. R packages and library
  2. RStudio project.
Data mining with tidyverse package
  1. Import data with ready, haven, and foreign packages
  2. Seven verbs of deploying package
  3. Manipulating string with stringr
  4. Working with long and wide data.
Data visualization
  1. ggplot2 and plotly packages
Reporting Statistical Analysis with Rmarkdown (Research reproducibility)
  1. MS-Word version
  2. HTML version
  3. PDF version
  4. PowerPoint version
  5. Beamer version
Participants will get opportunities to work through several hands-on lab sessions throughout the training.
Grammar References
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