About the Course
R is a programming language and free software environment for statistical computing and graphics supported by the R Core Team and the R Foundation for Statistical Computing. This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. The open-source software environment R is a powerful platform for data analysis and statistical graphics that has become the global standard in statistical computing.
Participating in this course you will be able to identify and abstract common data analysis tasks and to encapsulate them in user-facing functions. Every data science environment encounters unique data challenges, there is always a need to develop custom software specific to your organization’s mission. You will also be able to define new data types in R and to develop a universe of functionality specific to those data types to enable cleaner execution of data science tasks and stronger reusability within a team.
What will you Learn
- Be able to use the power of R’s programming language for advanced analytic tasks to improve the quality of your research.
- How to prepare data for analysis in R
- How to perform the median imputation method in R
- How to work with date-times in R
- You will have a robust set of skills to take with you into your Data Science career.
Course Fee: N80,000
Duration: 6 weeks
Delivery Mode – Live, Instructor Led Online
Contact us for Group or Team Registration
Course Outline
● Getting started with R Studio
● Getting and setting working directory
● Working with various files in R
● R-Database connection
● Working with the tidyverse R package
● Data transformation in R
● Data wrangling
● Building a simple dashboard with the patchwork package
● Time series anomaly detection in R
● Creating awesome visuals with the ggpplot2 library
● Time series forecasting with the auto.arima R package
● Calendar Heatmap showing values of stock
● LinkedIn data analysis with R
● Doing machine learning in R
