Hands-On R programming with Statistics for Data science, Learn applied statistics and data manipulation using real case studies
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Created by Hands-On System
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What you'll learn
- Learn R programming from scratch
- Use of R Studio
- Principles of programming
- Concept of vectors in R
- Create your own variable
- Data types in R
- Know the use of while() and for()
- Build and use matrices in R
- Use matrix() function, learn rbind() and cbind()
- Install packages in R
- Understand the Normal distribution
- Practice working with statistical data in R
- Add your own functions into apply statements
- R functions
- Create your own function
- Hypothesis testing for mean
- Multiple Linear Regression
- Logistic Regression
- Time Series Analysis
- Cluster analysis
- Factor Analysis
- Decision Tree
- Sentimental Analysis
- Market Basket Analysis
- Use of If- Else Statement
- Requirements
- No prior knowledge of programming is required. Just a basic knowledge of computer applications is enough for this course
