Data Science, AI, and Machine Learning with R
Gain practical experience in R for Data Analysis, Machine Learning and Artificial Intelligence. Become a Data Scientist.
3.67 (6 reviews)
3,019
students
50.5 hours
content
Mar 2025
last update
$54.99
regular price
What you will learn
Grasp the core concepts of data science and its applications in various industries.
Set up and navigate the R programming environment effectively.
Master R programming fundamentals, including data types, structures, operators, and control flow.
Understand essential statistical and probability concepts for data analysis.
Collect data from diverse sources (flat files, databases, web, APIs).
Clean, manipulate, and preprocess data to ensure its quality and suitability for analysis.
Conduct exploratory data analysis to uncover patterns and insights using visualizations.
Analyze and interpret data effectively using R's powerful statistical and visualization tools.
Build and evaluate various machine learning models for: Prediction (regression), Classification, Clustering, Association rule mining.
Apply dimensionality reduction methods like PCA and LDA.
Utilize ensemble methods (bagging and boosting) to improve model performance.
Build and deploy machine learning models using R to solve real-world problems.
Think critically about data and apply data science techniques in a variety of contexts.
Complete an end-to-end capstone project to solidify learning and demonstrate practical skills in data science and machine learning using R.
6116531
udemy ID
8/8/2024
course created date
9/3/2024
course indexed date
Bot
course submited by