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This repository covers most part of data science with R including Getting and Cleaning Data, Exploratory Data Analysis, Reproducible Research, Practical Machine Learning and so on.

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Name		Name	Last commit message	Last commit date
Latest commit History 130 Commits
2_Assignments		2_Assignments
3_Assignments		3_Assignments
4_Assignments		4_Assignments
5_Assignments		5_Assignments
6_Assignments		6_Assignments
8_Practical Machine Learning		8_Practical Machine Learning
Packages		Packages
SubFiles		SubFiles
2_1_R Introduction.md		2_1_R Introduction.md
2_2_Data Structures.md		2_2_Data Structures.md
2_3_Subsetting.md		2_3_Subsetting.md
2_4_Functions_Codes.md		2_4_Functions_Codes.md
2_5_Apply Family of Functions.md		2_5_Apply Family of Functions.md
3_1_Raw data and Tidy data.md		3_1_Raw data and Tidy data.md
3_2_Reading Files.md		3_2_Reading Files.md
3_3_Editing text variables.md		3_3_Editing text variables.md
3_4_Working with Dates.md		3_4_Working with Dates.md
4_1_Principles of analytic graphics.md		4_1_Principles of analytic graphics.md
4_2_Exploratory Graphics.md		4_2_Exploratory Graphics.md
4_3_Three Plotting Systems.md		4_3_Three Plotting Systems.md
4_4_Base Plotting System.md		4_4_Base Plotting System.md
4_5_Lattice Plotting System.md		4_5_Lattice Plotting System.md
4_6_ggplot2 Plotting System.md		4_6_ggplot2 Plotting System.md
4_7_Graphics Devies.md		4_7_Graphics Devies.md
5_1_Concepts and Ideas.md		5_1_Concepts and Ideas.md
5_2_Structure of a Data Analysis.md		5_2_Structure of a Data Analysis.md
5_3_organizing a data analysis.md		5_3_organizing a data analysis.md
5_4_markdown, Rmarkdown, knitr.md		5_4_markdown, Rmarkdown, knitr.md
5_5_Communicating Results.md		5_5_Communicating Results.md
6_1_Probability_Expectation.md		6_1_Probability_Expectation.md
6_2_CommonDistributions.md		6_2_CommonDistributions.md
6_3_Asymptopia.md		6_3_Asymptopia.md
6_4_tCIs.md		6_4_tCIs.md
6_5_Hypothesis Testing.md		6_5_Hypothesis Testing.md
8_1_Motivation and Pre-requisites.md		8_1_Motivation and Pre-requisites.md
8_2_Prediction Study Design.md		8_2_Prediction Study Design.md
Date and Time.md		Date and Time.md
Debugging.md		Debugging.md
R Profiler.md		R Profiler.md
README.md		README.md
Reading and Writing Data.md		Reading and Writing Data.md
Simulation.md		Simulation.md
_config.yml		_config.yml

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Course 1: Tools
Course 2: R Programming
Course 3: Getting and Cleaning Data
Course 4:

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This repository covers most part of data science with R including Getting and Cleaning Data, Exploratory Data Analysis, Reproducible Research, Practical Machine Learning and so on.

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