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Catalog / All levels / R Data Science – Data Manipulation Through Machine Learning with 10 Exams
Mammoth Club All levels 12 sections 32 lectures

R Data Science – Data Manipulation Through Machine Learning with 10 Exams

Designed by humans, elevated with AI and perfected to deliver the best learning experience. Data science with R blends traditional analysis with powerful machine learning tools.

MC
Created by Team Mammoth
·
32 lectures
01
Skill level
All levels
02
Sections
12
03
Lectures
32
04
Instructor
Team Mammoth
What's inside

This course includes.

✓
12
Sections
✓
29
Quizzes
✓
Certificate of completion
Included
✓
Mobile and desktop access
Included
✓
AI learning assistance
Included
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Course content

Curriculum & lectures.

12 sections · 32 lectures
+ Welcome 1 lecture Preview
What You'll Learn Locked
+ Introduction to R 3 lectures
Setting Up R and RStudio Locked
Basic R Syntax and Data Types Locked
Importing and Exporting Data Locked
+ Supervised Learning in R 3 lectures
Linear and Logistic Regression Locked
Decision Trees and Random Forests Locked
Support Vector Machines (SVM) Locked
+ Unsupervised Learning in R 3 lectures
Clustering with K-means Locked
Hierarchical Clustering Locked
Dimensionality Reduction with PCA Locked
+ Model Evaluation and Validation 3 lectures
Train-Test Split and Cross-Validation Locked
Confusion Matrix and ROC Curves Locked
Bias-Variance Tradeoff Locked
+ Advanced Machine Learning with R 3 lectures
Gradient Boosting Machines (GBM) Locked
XGBoost and LightGBM in R Locked
Ensemble Learning Techniques Locked
+ Working with Big Data in R 3 lectures
Using data.table for High-Performance Data Manipulation Locked
Integration with Spark via sparklyr Locked
Parallel and Distributed Computing in R Locked
+ Generalized Linear and Mixed Models 3 lectures
Advanced GLMs in R Locked
Linear Mixed Effects Models with lME4 Locked
Generalized Estimating Equations Locked
+ Advanced Machine Learning Techniques 3 lectures
Gradient Boosted Models with XGboost and Catboost Locked
Automated Machine Learning with H2o Locked
Stacking and Advanced Ensemble Methods Locked
+ Deep Learning in R 3 lectures
Using keras and tensorflow in R Locked
Transfer Learning in R Locked
Hybrid Deep Learning Models Locked
+ Time Series and Forecasting at Scale 3 lectures
ARIMA and Advanced Variants Locked
State-Space Models and Structural Time Series Locked
Forecasting with Prophet and Neural Networks Locked
+ Challenge Your 10 FREE Practice Exams 1 lecture
Where to Find Your Exams Locked
Description

About this course.

This course helps you bridge the gap between data wrangling and predictive modeling, giving you both flexibility and insight.


✅ Manipulate and prepare data for modeling

✅ Apply machine learning techniques in R

✅ Combine analysis with automation for efficiency

✅ Solidify skills through 10 structured exams


R offers a research-friendly, analysis-focused environment with serious power under the hood.


🎁 Discover how R makes machine learning approachable and practical.

Ready to start building?

Designed by humans, elevated with AI and perfected to deliver the best learning experience. Data science with R blends traditional analysis with powerful machine learning tools.

Buy lifetime access →