Data Science Certification Training - R Programming
4.1 /5- Offered bySimplilearn
- Private Institute
- Estd. 2010
Data Science Certification Training - R Programming at Simplilearn Overview
Duration | 48 hours |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Data Science Certification Training - R Programming at Simplilearn Highlights
- OMCA, Google AdWords & Analytics, Facebook & YouTube Exams Preparation
- 180 days of access to high-quality, self-paced learning content
- A great course for learning Data Science
- Certification Course
Data Science Certification Training - R Programming at Simplilearn Course details
- Simplilearn's Data Science certification with R Programming training made the learner an expert in data analytics using the R programming language
- This course provided the leaner with exposure to data analysis, machine learning, data visualization, web scraping, and natural language processing
Data Science Certification Training - R Programming at Simplilearn Curriculum
Lesson 00 - Course Introduction
Course Introduction
Lesson 01 - Introduction to Business Analytics
Overview
Business Decisions and Analytics
Types of Business Analytics
Applications of Business Analytics
Data Science Overview
Conclusion
Knowledge Check
Lesson 02 - Introduction to R Programming26:35
Overview
Importance of R
Data Types and Variables in R
Operators in R
Conditional Statements in R
Loops in R
R script
Functions in R
Conclusion
Knowledge Check
Lesson 03 - Data Structures50:57
Overview
Identifying Data Structures
Demo Identifying Data Structures
Assigning Values to Data Structures
Data Manipulation
Demo Assigning values and applying functions
Conclusion
Knowledge Check
Lesson 04 - Data Visualization
Overview
Introduction to Data Visualization
Data Visualization using Graphics in R
ggplot2
File Formats of Graphic Outputs
Conclusion
Knowledge Check
Lesson 05 - Statistics for Data Science-I
Overview
Introduction to Hypothesis
Types of Hypothesis
Data Sampling
Confidence and Significance Levels
Conclusion
Knowledge Check
Lesson 06 - Statistics for Data Science-II
Overview
Hypothesis Test
Parametric Test
Non-Parametric Test
Hypothesis Tests about Population Means
Hypothesis Tests about Population Variance
Hypothesis Tests about Population Proportions
Conclusion
Knowledge Check
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