Data Science with R

Data Science with R

What you’ll learn

  • Data Science using R programming
  • Become a Data Scientist
  • Data Science Learning Path
  • How to learn Data Science
  • Data Collection and Management
  • Model Deployment and Maintenance
  • Setting Expectations
  • Loading Data into R
  • Exploring Data in Data Science and Machine Learning
  • Exploring Data using R
  • Benefits of Data Cleaning
  • Cross Validation in R
  • Data Transformation
  • Modeling Methods
  • Solving Classification Problems
  • Working without Known Targets
  • Evaluating Models
  • Confusion Matrix
  • Introduction to Linear Regression
  • Linear Regression in R
  • Simple and Multiple Regression
  • Linear and Logistic Regression
  • Support Vector Machines (SVM) in R
  • Unsupervised Methods
  • Clustering in Data Science
  • K-means Algorithm in R
  • Hierarchical Clustering
  • Market Basket Analysis
  • MBA and Association Rule Mining
  • Implementing MBA
  • Association Rule Learning
  • Decision Tree Algorithm
  • Exploring Advanced Methods
  • Using Kernel Methods
  • Documentation and Deployment

How to Enroll Data Science with R course?

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  • How many members can access this course with a coupon?

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