TGx:[UDEMY] Data Science with R - Beginners

Hot Picks

New TV

First Cam

New Movies

1080p x265

Misc

Torrent details for "[UDEMY] Data Science with R - Beginners - [FTU] TGx Exclusive" Log in to bookmark

Quicknav > Description Read comments 0 Post guest comment

Torrent details

Name:

[UDEMY] Data Science with R - Beginners - [FTU] TGx Exclusive

Controls:

Report Torrent

Torrent verified by Prom3th3uS

Category:

Other > Training

Language:

English

Total Size:

1.78 GB

Info Hash:

ce7be18003cc1d384fe86656abc8d3dcff68fdae

Added By:

Prom3th3uS :_verified_uploader:

Added:

06-12-2018 20:09

Views:

1,164

Update stats Post guest comment 0

Health:

Seeds:

Leechers:

Completed:

File	Size
01 Introduction/001 Introduction to Data Science with R-en.srt	4.02 kB
01 Introduction/001 Introduction to Data Science with R.mp4	7.53 MB
01 Introduction/002 Understanding Datascience and its Modules-en.srt	5.18 kB
01 Introduction/002 Understanding Datascience and its Modules.mp4	13.85 MB
02 Tools/003 R Project for Statistical Computing-en.srt	13.32 kB
02 Tools/003 R Project for Statistical Computing.mp4	78.44 MB
02 Tools/004 Purpose of using R Tool-en.srt	3.20 kB
02 Tools/004 Purpose of using R Tool.mp4	5.31 MB
02 Tools/005 Module on Data Visualization-en.srt	2.69 kB
02 Tools/005 Module on Data Visualization.mp4	32.51 MB
03 Creating Pie Charts and Bar Chart/006 Creating Pie Charts-en.srt	6.84 kB
03 Creating Pie Charts and Bar Chart/006 Creating Pie Charts.mp4	37.21 MB
03 Creating Pie Charts and Bar Chart/007 Creating Bar Charts-en.srt	8.03 kB
03 Creating Pie Charts and Bar Chart/007 Creating Bar Charts.mp4	34.85 MB
04 Creating Histograms/008 Functions of Histogram-en.srt	5.15 kB
04 Creating Histograms/008 Functions of Histogram.mp4	25.18 MB
04 Creating Histograms/009 Method of Using Scatterplots-en.srt	5.78 kB
04 Creating Histograms/009 Method of Using Scatterplots.mp4	24.00 MB
04 Creating Histograms/010 Creating Data for Line Charts-en.srt	6.07 kB
04 Creating Histograms/010 Creating Data for Line Charts.mp4	25.14 MB
05 Basic Data Visualization/011 Case Study for Vector Values-en.srt	7.76 kB
05 Basic Data Visualization/011 Case Study for Vector Values.mp4	37.55 MB
05 Basic Data Visualization/012 Module on Advanced Data Visualization-en.srt	4.93 kB
05 Basic Data Visualization/012 Module on Advanced Data Visualization.mp4	17.94 MB
06 Ggplot Value/013 with Functions for Plotting Values-en.srt	7.58 kB
06 Ggplot Value/013 with Functions for Plotting Values.mp4	32.40 MB
06 Ggplot Value/014 How to Plot Car Value-en.srt	4.41 kB
06 Ggplot Value/014 How to Plot Car Value.mp4	19.04 MB
06 Ggplot Value/015 Understanding the Ggplot Value-en.srt	5.47 kB
06 Ggplot Value/015 Understanding the Ggplot Value.mp4	19.20 MB
06 Ggplot Value/016 Basic Example on Scatterplot-en.srt	7.72 kB
06 Ggplot Value/016 Basic Example on Scatterplot.mp4	56.87 MB
06 Ggplot Value/017 Scatterplot With Encircling-en.srt	7.06 kB
06 Ggplot Value/017 Scatterplot With Encircling.mp4	60.38 MB
06 Ggplot Value/018 Learning the Jitter Plot-en.srt	4.88 kB
06 Ggplot Value/018 Learning the Jitter Plot.mp4	31.53 MB
06 Ggplot Value/019 Counts Charts in Ggplot-en.srt	3.91 kB
06 Ggplot Value/019 Counts Charts in Ggplot.mp4	26.42 MB
06 Ggplot Value/020 Section on Bubble Chart-en.srt	6.80 kB
06 Ggplot Value/020 Section on Bubble Chart.mp4	35.63 MB
06 Ggplot Value/021 Diverging Bars with Ggplot-en.srt	11.94 kB
06 Ggplot Value/021 Diverging Bars with Ggplot.mp4	57.95 MB
06 Ggplot Value/022 Diverging Lollipchart with Ggplot-en.srt	5.64 kB
06 Ggplot Value/022 Diverging Lollipchart with Ggplot.mp4	31.18 MB
06 Ggplot Value/023 Implementation of Dot Plot-en.srt	5.38 kB
06 Ggplot Value/023 Implementation of Dot Plot.mp4	25.89 MB
06 Ggplot Value/024 Purpose of using Area Charts-en.srt	9.65 kB
06 Ggplot Value/024 Purpose of using Area Charts.mp4	43.73 MB
06 Ggplot Value/025 Ordered Bar Chart for Multiple Items-en.srt	9.01 kB
06 Ggplot Value/025 Ordered Bar Chart for Multiple Items.mp4	37.43 MB
06 Ggplot Value/026 Simple Demonstration on Pie Chart-en.srt	7.44 kB
06 Ggplot Value/026 Simple Demonstration on Pie Chart.mp4	34.90 MB
06 Ggplot Value/027 Example on Hierarchical Dendrogram-en.srt	3.99 kB
06 Ggplot Value/027 Example on Hierarchical Dendrogram.mp4	18.53 MB
06 Ggplot Value/028 Learning about the Population Pyramids-en.srt	9.52 kB
06 Ggplot Value/028 Learning about the Population Pyramids.mp4	53.08 MB
06 Ggplot Value/029 Understanding the Change Plot-en.srt	2.74 kB
06 Ggplot Value/029 Understanding the Change Plot.mp4	16.33 MB
06 Ggplot Value/030 Case Study on Seasonal Plot-en.srt	6.38 kB
06 Ggplot Value/030 Case Study on Seasonal Plot.mp4	28.46 MB
06 Ggplot Value/031 Basic Understanding on Statistics-en.srt	4.44 kB
06 Ggplot Value/031 Basic Understanding on Statistics.mp4	11.51 MB
07 Regression/032 Implementation of Mean Median and Mode-en.srt	9.69 kB
07 Regression/032 Implementation of Mean Median and Mode.mp4	43.57 MB
07 Regression/033 Understanding the Linear Regression-en.srt	10.43 kB
07 Regression/033 Understanding the Linear Regression.mp4	52.30 MB
07 Regression/034 Understanding Multiple Regression-en.srt	10.00 kB
07 Regression/034 Understanding Multiple Regression.mp4	41.24 MB
07 Regression/035 Functions of Logistic Regression-en.srt	8.43 kB
07 Regression/035 Functions of Logistic Regression.mp4	40.25 MB
07 Regression/036 Learning Normal Distribution Curve-en.srt	10.91 kB
07 Regression/036 Learning Normal Distribution Curve.mp4	48.30 MB
07 Regression/037 Understanding the Binomial Distribution-en.srt	6.84 kB
07 Regression/037 Understanding the Binomial Distribution.mp4	22.66 MB
07 Regression/038 Involvement of Poisson Regression-en.srt	6.82 kB
07 Regression/038 Involvement of Poisson Regression.mp4	26.70 MB
07 Regression/039 Analysis of Covariance-en.srt	9.88 kB
07 Regression/039 Analysis of Covariance.mp4	41.80 MB
07 Regression/040 Time Series Analysis-en.srt	11.66 kB
07 Regression/040 Time Series Analysis.mp4	52.42 MB
07 Regression/041 Nonlinear Least Square-en.srt	9.40 kB
07 Regression/041 Nonlinear Least Square.mp4	41.29 MB
07 Regression/042 Section on Decision Tree-en.srt	7.96 kB
07 Regression/042 Section on Decision Tree.mp4	35.31 MB
07 Regression/043 The Random Forest Approach-en.srt	6.53 kB
07 Regression/043 The Random Forest Approach.mp4	29.27 MB
07 Regression/044 Learning the Chi Square Test-en.srt	6.00 kB
07 Regression/044 Learning the Chi Square Test.mp4	26.49 MB
07 Regression/045 Case Study on Survival Analysis-en.srt	7.82 kB
07 Regression/045 Case Study on Survival Analysis.mp4	35.74 MB
08 Machine Learning and its Concepts/046 Understanding the Concept of Probability-en.srt	5.89 kB
08 Machine Learning and its Concepts/046 Understanding the Concept of Probability.mp4	22.60 MB
08 Machine Learning and its Concepts/047 Counting the Number of Combinations-en.srt	5.33 kB
08 Machine Learning and its Concepts/047 Counting the Number of Combinations.mp4	27.85 MB
08 Machine Learning and its Concepts/048 Generating Random Numbers-en.srt	9.11 kB
08 Machine Learning and its Concepts/048 Generating Random Numbers.mp4	27.59 MB
08 Machine Learning and its Concepts/049 Generating Random Sequences-en.srt	3.82 kB
08 Machine Learning and its Concepts/049 Generating Random Sequences.mp4	10.47 MB
08 Machine Learning and its Concepts/050 Converting Probabilities to Quantiles-en.srt	4.87 kB
08 Machine Learning and its Concepts/050 Converting Probabilities to Quantiles.mp4	13.76 MB
08 Machine Learning and its Concepts/051 Criteria for Plotting a Density Function-en.srt	6.74 kB
08 Machine Learning and its Concepts/051 Criteria for Plotting a Density Function.mp4	34.44 MB
08 Machine Learning and its Concepts/052 Concept of Data Manipulation-en.srt	4.99 kB
08 Machine Learning and its Concepts/052 Concept of Data Manipulation.mp4	18.62 MB
08 Machine Learning and its Concepts/053 Module on Machine Learning-en.srt	10.72 kB
08 Machine Learning and its Concepts/053 Module on Machine Learning.mp4	35.72 MB
08 Machine Learning and its Concepts/054 Machine Learning Concepts with R-en.srt	8.00 kB
08 Machine Learning and its Concepts/054 Machine Learning Concepts with R.mp4	36.69 MB
08 Machine Learning and its Concepts/055 Machine Learning Datasets-en.srt	8.23 kB
08 Machine Learning and its Concepts/055 Machine Learning Datasets.mp4	32.77 MB
08 Machine Learning and its Concepts/056 Machine learning project with R-en.srt	9.19 kB
08 Machine Learning and its Concepts/056 Machine learning project with R.mp4	39.60 MB
Discuss.FreeTutorials.Us.html	165.68 kB
FreeCoursesOnline.Me.html	108.30 kB
FreeTutorials.Eu.html	102.23 kB
How you can help Team-FTU.txt	259.00 B
Torrent Downloaded From GloDls.to.txt	84.00 B
[TGx]Downloaded from torrentgalaxy.org.txt	524.00 B

Description

This training is an introduction to the concept of Data science and its application using R programming language

Created by: SimpliCode Point
Last updated: 12/2018
Language: English
Subtitle: Included
Torrent Contains: 118 Files, 8 Folders
Course Source: https://www.udemy.com/data-science-with-r-beginners/

What you'll learn

• Learn R programming, Reproducible Analysis and Data Manipulation
• Master data visualization, Learn working with Large Datasets, Supervised Learning and Unsupervised Learning
• Learn Object oriented Programming, start building an R package. Know more on Testing and Package and checking Version Control and Profiling and Optimizing

Requirements

• No prior knowledge of machine learning required
• Basic knowledge of R

Description

This training is an introduction to the concept of Data science domain and its application using R programming language. The web is full of apps that are driven by data. All the e-commerce apps and websites are based on data in the complete sense. There is database behind a web front end and middleware that talks to a number of other databases and data services. But the mere use of data is not what comprises of data science. A data application gets its value from data and in the process creates value for itself. This means that data science enables the creation of products that are based on data. The tutorials will include the following;

• Introduction to R programming
• Reproducible Analysis
• Data Manipulation
• Visualizing Data
• Working with Large Datasets
• Supervised Learning
• Unsupervised Learning
• In depth R programming
• Object oriented Programming
• Building an R package
• Testing and Package Checking
• Version Control
• Profiling and Optimizing

Who is the target audience?

• Anyone who wants to learn about data and analytics
• Data Engineers
• Analysts
• Architects
• Software Engineers
• IT operations
• Technical managers

For More Udemy Free Courses >>> http://www.freetutorials.eu
For more Lynda and other Courses >>> https://www.freecoursesonline.me/
Our Forum for discussion >>> https://discuss.freetutorials.eu/