(R) Data Science Foundations
Data Science and AI
Master the fundamentals of data science using R in this foundational training. Explore statistical analysis, data visualization, and predictive modeling techniques essential for extracting insights from data. Gain hands-on experience with R programming to solve real-world data challenges.
Target Audience
Aspiring data scientists, analysts, and professionals aiming to strengthen their proficiency in R for data analysis and modeling.
Prerequisites
Basic understanding of programming concepts and familiarity with statistical principles. No prior experience with R is required, but a willingness to learn programming languages is beneficial.
Outline Course
Getting started with R and RStudio
Handling data: importing, cleaning, and transforming data
Visualizing data using ggplot2 for effective communication
Statistical analysis and hypothesis testing in R
Introduction to machine learning with R
Deploying models and presenting findings
Outcome
Participants will develop proficiency in using R for data manipulation, visualization, and statistical analysis. They will be equipped to apply advanced data science techniques to solve complex problems and derive actionable insights from diverse datasets.
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