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365 Data Science - Introduction to R Programming [CoursesGhar]
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1. Introduction
1. Welcome to R programming.mp4
10. Exploratory data analysis
1. Population vs. sample.mp4
2. Mean, median, mode.mp4
3. Skewness.mp4
4. Variance, standard deviation, and coefficient of variability.mp4
5. Covariance and correlation.mp4
11. Hypothesis Testing
1. Distributions.mp4
2. Standard Error and Confidence Intervals.mp4
3. Hypothesis Testing.mp4
4. Type I and Type II Errors.mp4
5. Test for the Mean. Population Variance Known.mp4
6. The P Value.mp4
7. Test for the Mean. Population Variance Unknown.mp4
8. Comparing Two Means. Dependent Samples.mp4
9. Comparing Two Means. Independent Samples.mp4
12. Linear Regression Analysis
1. The Linear Regression Model.mp4
2. Correlation vs. Regression.mp4
3. Geometrical Representation.mp4
4. Doing the Regression in R.mp4
5. How to Interpret the Regression Table.mp4
6. Decomposition of Variability.mp4
7. R-Squared.mp4
2. Getting started
1. Intro.mp4
2. Downloading and installing R _ RStudio.mp4
3. Quick guide to the RStudio user interface.mp4
4. Changing the appearance in RStudio.mp4
5. Installing packages and using the library.mp4
3. The building blocks of R
1. Creating an object in R.mp4
2. Data types in R - Integers and doubles.mp4
3. Data types in R - Characters and logicals.mp4
4. Coercion rules in R.mp4
5. Functions in R.mp4
6. Functions and arguments.mp4
7. Building a function in R.mp4
8. Using the script vs. using the console.mp4
4. Vectors and vector operations
1. Intro.mp4
2. Introduction to vectors.mp4
3. Vector recycling.mp4
4. Naming a vector.mp4
5. Getting help with R.mp4
6. Slicing and indexing a vector.mp4
7. Changing the dimensions of an object in R.mp4
5. Matrices
1. Creating a matrix.mp4
10. Lists in R.mp4
2. Faster code - creating a matrix in a single line of code.mp4
3. Do matrices recycle.mp4
4. Indexing an element from a matrix.mp4
5. Slicing a matrix.mp4
6. Matrix arithmetic.mp4
7. Matrix operations.mp4
8. Categorical data.mp4
9. Creating a factor in R.mp4
6. Fundamentals Of Programming With R
1. Relational Operators in R.mp4
10. Scoping in R _ Building a Function in R 2.0 (Ctnd).mp4
2. Logical Operators in R.mp4
3. Logical Operators and Vectors.mp4
4. If, Else, Else-If Statements.mp4
5. If, Else, Else-If Keep-In-Minds.mp4
6. For Loops in R.mp4
7. While Loops in R.mp4
8. Repeat Loops in R.mp4
9. Building a Function in R 2.0.mp4
7. Data frames
1. Creating a data frame.mp4
2. The Tidyverse package.mp4
3. Data import in R.mp4
4. Importing a CSV in R.mp4
5. Data export in R.mp4
6. Getting a sense of your data frame.mp4
7. Indexing and slicing a data frame in R.mp4
8. Extending a data frame in R.mp4
9. Dealing with missing data.mp4
8. Manipulating data
1. Intro.mp4
2. Data transformation with R - the Dplyr package - Part I.mp4
3. Data transformation with R - the Dplyr package - Part II.mp4
4. Sampling data with the Dplyr package.mp4
5. Using the pipe operator.mp4
6. Tidying your data - gather() and separate().mp4
7. Tidying your data - unite() and spread().mp4
9. Visualizing data
1. Intro.mp4
2. Intro to data visualization.mp4
3. Intro to ggplot2.mp4
4. Variables - revisited.mp4
5. Building a histogram with ggplot2.mp4
6. Building a bar chart with ggplot2.mp4
7. Building a box and whiskers plot with ggplot2.mp4
8. Building a scatterplot with ggplot2.mp4
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