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365 Data Science - Introduction to R Programming [CoursesGhar]

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2.73 GB

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File	Size
!! IMPORTANT Note !!.txt	298.00 B
!!! Please Support !!! [CoursesGhar.Com].txt	197.00 B
00. Websites You May Like/A1movies.com.pk.url	116.00 B
00. Websites You May Like/CoursesGhar.com.url	114.00 B
1. Introduction/1. Welcome to R programming.mp4	18.36 MB
10. Exploratory data analysis/1. Population vs. sample.mp4	21.49 MB
10. Exploratory data analysis/2. Mean, median, mode.mp4	32.92 MB
10. Exploratory data analysis/3. Skewness.mp4	23.90 MB
10. Exploratory data analysis/4. Variance, standard deviation, and coefficient of variability.mp4	33.74 MB
10. Exploratory data analysis/5. Covariance and correlation.mp4	44.53 MB
11. Hypothesis Testing/1. Distributions.mp4	80.72 MB
11. Hypothesis Testing/2. Standard Error and Confidence Intervals.mp4	39.73 MB
11. Hypothesis Testing/3. Hypothesis Testing.mp4	22.72 MB
11. Hypothesis Testing/4. Type I and Type II Errors.mp4	25.18 MB
11. Hypothesis Testing/5. Test for the Mean. Population Variance Known.mp4	37.85 MB
11. Hypothesis Testing/6. The P Value.mp4	30.68 MB
11. Hypothesis Testing/7. Test for the Mean. Population Variance Unknown.mp4	33.08 MB
11. Hypothesis Testing/8. Comparing Two Means. Dependent Samples.mp4	38.34 MB
11. Hypothesis Testing/9. Comparing Two Means. Independent Samples.mp4	28.69 MB
12. Linear Regression Analysis/1. The Linear Regression Model.mp4	39.91 MB
12. Linear Regression Analysis/2. Correlation vs. Regression.mp4	10.11 MB
12. Linear Regression Analysis/3. Geometrical Representation.mp4	6.47 MB
12. Linear Regression Analysis/4. Doing the Regression in R.mp4	24.75 MB
12. Linear Regression Analysis/5. How to Interpret the Regression Table.mp4	36.40 MB
12. Linear Regression Analysis/6. Decomposition of Variability.mp4	22.73 MB
12. Linear Regression Analysis/7. R-Squared.mp4	31.17 MB
2. Getting started/1. Intro.mp4	74.97 MB
2. Getting started/2. Downloading and installing R _ RStudio.mp4	27.92 MB
2. Getting started/3. Quick guide to the RStudio user interface.mp4	42.76 MB
2. Getting started/4. Changing the appearance in RStudio.mp4	12.45 MB
2. Getting started/5. Installing packages and using the library.mp4	56.19 MB
3. The building blocks of R/1. Creating an object in R.mp4	29.88 MB
3. The building blocks of R/2. Data types in R - Integers and doubles.mp4	26.73 MB
3. The building blocks of R/3. Data types in R - Characters and logicals.mp4	20.65 MB
3. The building blocks of R/4. Coercion rules in R.mp4	18.14 MB
3. The building blocks of R/5. Functions in R.mp4	19.53 MB
3. The building blocks of R/6. Functions and arguments.mp4	13.88 MB
3. The building blocks of R/7. Building a function in R.mp4	50.13 MB
3. The building blocks of R/8. Using the script vs. using the console.mp4	18.75 MB
4. Vectors and vector operations/1. Intro.mp4	87.99 MB
4. Vectors and vector operations/2. Introduction to vectors.mp4	22.79 MB
4. Vectors and vector operations/3. Vector recycling.mp4	9.53 MB
4. Vectors and vector operations/4. Naming a vector.mp4	18.43 MB
4. Vectors and vector operations/5. Getting help with R.mp4	49.45 MB
4. Vectors and vector operations/6. Slicing and indexing a vector.mp4	40.10 MB
4. Vectors and vector operations/7. Changing the dimensions of an object in R.mp4	29.18 MB
5. Matrices/1. Creating a matrix.mp4	37.97 MB
5. Matrices/10. Lists in R.mp4	32.07 MB
5. Matrices/2. Faster code - creating a matrix in a single line of code.mp4	18.01 MB
5. Matrices/3. Do matrices recycle.mp4	10.58 MB
5. Matrices/4. Indexing an element from a matrix.mp4	30.22 MB
5. Matrices/5. Slicing a matrix.mp4	23.34 MB
5. Matrices/6. Matrix arithmetic.mp4	47.01 MB
5. Matrices/7. Matrix operations.mp4	33.09 MB
5. Matrices/8. Categorical data.mp4	23.22 MB
5. Matrices/9. Creating a factor in R.mp4	42.13 MB
6. Fundamentals Of Programming With R/1. Relational Operators in R.mp4	23.76 MB
6. Fundamentals Of Programming With R/10. Scoping in R _ Building a Function in R 2.0 (Ctnd).mp4	31.08 MB
6. Fundamentals Of Programming With R/2. Logical Operators in R.mp4	15.56 MB
6. Fundamentals Of Programming With R/3. Logical Operators and Vectors.mp4	11.93 MB
6. Fundamentals Of Programming With R/4. If, Else, Else-If Statements.mp4	30.52 MB
6. Fundamentals Of Programming With R/5. If, Else, Else-If Keep-In-Minds.mp4	20.43 MB
6. Fundamentals Of Programming With R/6. For Loops in R.mp4	35.65 MB
6. Fundamentals Of Programming With R/7. While Loops in R.mp4	23.98 MB
6. Fundamentals Of Programming With R/8. Repeat Loops in R.mp4	20.34 MB
6. Fundamentals Of Programming With R/9. Building a Function in R 2.0.mp4	22.82 MB
7. Data frames/1. Creating a data frame.mp4	37.90 MB
7. Data frames/2. The Tidyverse package.mp4	27.93 MB
7. Data frames/3. Data import in R.mp4	20.65 MB
7. Data frames/4. Importing a CSV in R.mp4	27.06 MB
7. Data frames/5. Data export in R.mp4	19.74 MB
7. Data frames/6. Getting a sense of your data frame.mp4	27.40 MB
7. Data frames/7. Indexing and slicing a data frame in R.mp4	32.46 MB
7. Data frames/8. Extending a data frame in R.mp4	33.68 MB
7. Data frames/9. Dealing with missing data.mp4	33.65 MB
8. Manipulating data/1. Intro.mp4	105.66 MB
8. Manipulating data/2. Data transformation with R - the Dplyr package - Part I.mp4	37.70 MB
8. Manipulating data/3. Data transformation with R - the Dplyr package - Part II.mp4	23.86 MB
8. Manipulating data/4. Sampling data with the Dplyr package.mp4	12.31 MB
8. Manipulating data/5. Using the pipe operator.mp4	24.06 MB
8. Manipulating data/6. Tidying your data - gather() and separate().mp4	63.37 MB
8. Manipulating data/7. Tidying your data - unite() and spread().mp4	19.08 MB
9. Visualizing data/1. Intro.mp4	72.88 MB
9. Visualizing data/2. Intro to data visualization.mp4	20.17 MB
9. Visualizing data/3. Intro to ggplot2.mp4	49.46 MB
9. Visualizing data/4. Variables - revisited.mp4	28.76 MB
9. Visualizing data/5. Building a histogram with ggplot2.mp4	49.76 MB
9. Visualizing data/6. Building a bar chart with ggplot2.mp4	39.12 MB
9. Visualizing data/7. Building a box and whiskers plot with ggplot2.mp4	41.43 MB
9. Visualizing data/8. Building a scatterplot with ggplot2.mp4	65.87 MB
Join Our Telegram Group For More Updates !!!.url	138.00 B
Uploaded by [Coursesghar.com].txt	1.10 kB
Visit coursesghar.com for more awesome tutorials.url	114.00 B

Description

365 Data Science - Introduction to R Programming

Course description

R is one of the best programming languages specifically designed for statistics and graphics. Programming in R is a fast and effective way to perform advanced data analyses and manipulations. In this course, you will learn how to use R and utilize the many data analysis techniques, methods, and functions it has to offer to the professional data scientist.