DATA SCIENCE WITH R
$500.00
$300.00
In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis. With over 2 million users worldwide R is rapidly becoming the leading programming language in statistics and data science. Every year, the number of R users grows by 40% and an increasing number of organizations are using it in their day-to-day activities. Leverage the power of R by completing this free R online course today!
Course Features
- Lectures 46
- Quizzes 3
- Duration 55 hours
- Skill level All levels
- Students 1059
- Assessments Yes
-
Data Science Demo
-
Introduction of R
-
Data Types
-
R language with machine learning
- 01. Data Science Demo With R and Python
- 02. Introduction and Installation of R
- 03. Installation of R Studio and Data Types
- 04. Vectors
- 05. Matrix
- 06. Factors
- 07. DataFrame
- 08. Data Fram Part 2 and List Part 1
- 09. List Part 2
- 10. Read Data From Files Part 1
- 11. Read Data From Files Part 2
- 12. Read Data from oracle database Part 1
- 13. Read Data from oracle database Part 2
- 14. Writeing data to text files and if else conditions
- 15. Loops
- 16. Functions
- 17. Packages amd Apply Functions Part 1
- 18. Apply Functions Part 2
- 19. Base Graphs Part 1
- 20. Base Graphs Part 2
- 21. Base Graphs Part 3
- 22. Base Graphs Part 4
- 23. Base Graphs Part 5
- 24. ggplot2 Graphs Part 1
- 25. ggplot2 Graphs Part 2
- 26. Cleaning Data Part 1
- 27. Cleaning Data Part 2
- 28. Cleaning Data Part 3
- 29. Machine Learning Introduction
- 30. Machine Learning Linear Regression Part 2
- 30. Machine Learning Linear Regression
- 31. Machine Learning Logestic Regression
- 32. Machine Learning poisson and quasipoission regression
- 33. Machine Learning Unsupervised Learning Intro
- 34. Machine Learning Kmeans Clustering
- 35. Machine Learning hierarchical clustering
