Fundamentals of R programming and basic statistical analysis.
R basics: variables, data types, data structures; and Rstudio, writing and executing R scripts.
Data frames, data import/export, cleaning, and preparation; data exploration and visualization using ggplot2.
Descriptive statistics, probability distributions and hypothesis testing, correlation, and simple regression analysis.
Advanced data analysis techniques with R.
Multiple regression, model building and variable selection.
Segmentation and clustering including K-means and hierarchical clustering.
Factor analysis, extraction methods,and factor loadings.
Videos
Articles
Digital Badges
Quizzes
Handouts
One-to-one mentorship
Your role involves processing data and extracting statistical patterns to aid the business challenges and decisions.
Improve your data literacy and analytical skills.
Enhance your ability to make data-driven decisions.
Increase your efficiency in data analysis and reporting.
Use data analysis skills to company-specific challenges.
Call us to talk to one of our learning advisors about your upskilling requirements or use the form below to send us a message.