Introduction To Data Science Using R Programming
- Description
- Curriculum
- FAQ
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A powerful
comprehensive course on mastering data visualization and analytics
using R!
Data
was once only powerful when it came to making business decisions, but
today data plays a more important role and is currently the basis of
all the modern business functions. The growing need for organized
data has resulted in the higher demands for data scientists, miners
and also data analysts.
This
is the prime time to join one of the worldās fastest growing
industry as a data scientist and all you need to become one is this
course!
We
have designed this exceptionally comprehensive course at beginners as
well as intermediate students who want to master the art of data
science and learn exactly how to analyze and organize data to create
charts or graphs. The course
has been dedicated to helping you understand one of the most
important tools of data science ā R Statistical Environment.
In
addition to the R environment, you will also go over the popular data
science R programming language. While
there are many other languages that can be used for data science, R
has become synonymous with data analytics and has been used
industry-wide in data science. R refers to the R programming language
as well as R statistical computing environment that is used for
statistical computing and graphics. The R language is popularly used
among statisticians, data miners, data analysts, etc.
This
course focuses on helping breakdown R and R programming language into
simple and easy to understand concepts that cover everything you need
to know to get started with Data Science. The course will not only
help you learn the R languageās basic syntax, but also the
computing environment where you will learn exactly how to import
data, organize the data, create charts and graphs and also export
data.
The
course will in-depth cover topics such as Basic Data Visualization,
Advanced Data Visualization, Generating Maps using JSON Structures,
Implementation of Statistics, Data Munging/Wrangling, Data
Manipulation and so much more!
At
the end of this course, you will have mastered exactly how to work
with data and bend it to your wishes. This
is the perfect course for anyone who is looking to make the jump into
the world of Data Science.
Enroll
now and learn how you can become an expert at data science!
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13Advanced Data Visualization
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14Basic Illustration of ggplot2 package
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15Facetting
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16Boxplots and Jittered Plots
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17Histograms and Frequency Polygons
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18Bar Charts and Time Series
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19Basic Plot Types
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20Case Study for ggplot2 package Scatterplot Encircling
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21Surface Plots
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22Revealing uncertainity
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23Weighted data
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24Drawing Maps- Vector Boundries
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25Drawing Maps - Point Metadata
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26Diamonds data for research
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27Dealing with overlapping
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28Statistical summaries
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29Scatterplot from excel file
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30Heatmap and area chart from excel file
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31Various bar charts from excel file
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36Mean, median and mode
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37Linear Regression
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38Multiple Regression
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39Logistic Regression
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40Normal Distribution
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41Binomial Distribution
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42Poisson Regression
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43Analysis of Covariance
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44Time Series Analysis
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45Case study Time Series from dataset
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46Decision Tree
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47Implementation of decision tree in Dataset
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48Nonlinear Least Square
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49Case Study- Random Forest
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50Survival Analysis
Social Network