Data Visualization with R and Project Implementation
Data Visualization with R and Project Implementation, available at $19.99, has an average rating of 4.35, with 15 lectures, 1 quizzes, based on 27 reviews, and has 8832 subscribers.
You will learn about Deep understanding of data visualization in R Project on Data Visualization – Analyzing & Visualizing Covid-19 What is data visualization and selecting the right chart type Importance of data visualization & and its benefits Applications of data visualization R programs for scatterplot, histogram, bar & stacked bar chart, boxplot, heatmap, line chart, density plot, pie chart Data Visualisation with ggplot2 package What is ggplot2, plotting with ggplot2, building your plots iteratively Univariate distributions & bar plot, annotation with ggplot2, axis manipulation, density plot More data visualization tools in R, text mining and word cloud Radar chart, waffle chart, area chart, correlogram This course is ideal for individuals who are Data Visualization Analysts & Consultants or Data Analytics Specialists or Data Visualization Designers or Reporting Analysts & Business Intelligence (BI) Analysts or Data Analytics and Visualization Managers or Beginners and newbies interested in BI, Analytics, Visualization or Data Scientists, Data Engineers, Data Integration Experts or R Programmers & Developers or Full Stack Data Visualization Developers or Senior BI & Data Visualization Analysts or Anyone aspiring for a career in Data Visualization or Business Analysts & Consultants or Marketing & Finance Analysts It is particularly useful for Data Visualization Analysts & Consultants or Data Analytics Specialists or Data Visualization Designers or Reporting Analysts & Business Intelligence (BI) Analysts or Data Analytics and Visualization Managers or Beginners and newbies interested in BI, Analytics, Visualization or Data Scientists, Data Engineers, Data Integration Experts or R Programmers & Developers or Full Stack Data Visualization Developers or Senior BI & Data Visualization Analysts or Anyone aspiring for a career in Data Visualization or Business Analysts & Consultants or Marketing & Finance Analysts.
Enroll now: Data Visualization with R and Project Implementation
Summary
Title: Data Visualization with R and Project Implementation
Price: $19.99
Average Rating: 4.35
Number of Lectures: 15
Number of Quizzes: 1
Number of Published Lectures: 15
Number of Published Quizzes: 1
Number of Curriculum Items: 16
Number of Published Curriculum Objects: 16
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Deep understanding of data visualization in R
- Project on Data Visualization – Analyzing & Visualizing Covid-19
- What is data visualization and selecting the right chart type
- Importance of data visualization & and its benefits
- Applications of data visualization
- R programs for scatterplot, histogram, bar & stacked bar chart, boxplot, heatmap, line chart, density plot, pie chart
- Data Visualisation with ggplot2 package
- What is ggplot2, plotting with ggplot2, building your plots iteratively
- Univariate distributions & bar plot, annotation with ggplot2, axis manipulation, density plot
- More data visualization tools in R, text mining and word cloud
- Radar chart, waffle chart, area chart, correlogram
Who Should Attend
- Data Visualization Analysts & Consultants
- Data Analytics Specialists
- Data Visualization Designers
- Reporting Analysts & Business Intelligence (BI) Analysts
- Data Analytics and Visualization Managers
- Beginners and newbies interested in BI, Analytics, Visualization
- Data Scientists, Data Engineers, Data Integration Experts
- R Programmers & Developers
- Full Stack Data Visualization Developers
- Senior BI & Data Visualization Analysts
- Anyone aspiring for a career in Data Visualization
- Business Analysts & Consultants
- Marketing & Finance Analysts
Target Audiences
- Data Visualization Analysts & Consultants
- Data Analytics Specialists
- Data Visualization Designers
- Reporting Analysts & Business Intelligence (BI) Analysts
- Data Analytics and Visualization Managers
- Beginners and newbies interested in BI, Analytics, Visualization
- Data Scientists, Data Engineers, Data Integration Experts
- R Programmers & Developers
- Full Stack Data Visualization Developers
- Senior BI & Data Visualization Analysts
- Anyone aspiring for a career in Data Visualization
- Business Analysts & Consultants
- Marketing & Finance Analysts
A warm welcome to the Data Visualization with Rcourse by Uplatz.
Data Visualization refers to quantitative analysis that allows us to explore data and communicate our findings. In data science, analyzing your data is only half the battle – communicating your data and results to share knowledge and facilitate decision making is also essential. Data visualization is a powerful tool that can allow people across all ranges of statistical know-how to understand complex patterns and findings.
Not only the R programming language was specifically designed for statistical computing, it was also developed with a focus on graphics. As well as the standard plotting functions available in base R, additional functionality is also available through add-on packages of code. The ggplot2 package was developed by Hadley Wickham as part of the tidyverse (a collection of packages designed with data science in mind) and is considered one of the best tools for plotting graphs. It combines high levels of customization with clean and visually pleasing graphics, often with minimal effort put in on the part of the programmer. Thus ggplot2 is basically a set of packages that aim to make data management, analysis and visualization more user-friendly. It contains a wide range of options to customize plots and can be used for all types of data.
Uplatzprovides this in-depth training on Data Visualization using R. This Data Visualization with R course helps you to effectively create figures based on your quantitative data. If you want to understand your data better and add impact to your publications, Data Visualization in R is the right course for you. Understand the art of visual communication and practical implementation of data visualization. This is done using the R statistical programming environment with your own data.
Course Objectives
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The purpose of data visualization and how to use it to communicate effectively
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A quick introduction to base R graphics
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Different plot types in R
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Data Visualization tools in R
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Which is the most appropriate plot type for your data
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Adding details to plots
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ggplot2 package
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Implementing the “Grammar of Graphics” in ggplot2, such as scales, coordinate systems, position adjustments, and faceting
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Creating complex visualizations and investigating the correlations between variables
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Designing and implementing a visualization from scratch
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How much is too much
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The science of perception and apply design principles
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To distinguish between explanatory graphics for publication and for data exploration
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Advanced plot customization and beyond
Data Visualization with R – course syllabus
1. Data Visualization in R
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What is data visualization?
-
Selecting right chart type
-
Importance of data visualization & its benefits
-
Applications of DATA Visualization
-
R Programs for Scatterplot, Histogram, Bar & Stacked bar chart, boxplot, heatmap, line chart, density plot, pie chart
2. Data Visualization with ggplot2 package
-
What is ggplot2
-
Plotting with ggplot2
-
Building your plots iteratively
-
Univariate distributions & bar plot
-
Annotation with ggplot2
-
Axis manipulation
-
Density plot
3. More Data Visualization tools in R
-
Text mining and word cloud
-
Radar chart
-
Waffle chart
-
Area Chart
-
Correlogram
Project on Data Visualization
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“Visualizing Covid-19” comprehensive project – create from scratch
Course Curriculum
Chapter 1: Getting started with Data Visualization in R
Lecture 1: Getting started with Data Visualization in R – part 1
Lecture 2: Getting started with Data Visualization in R – part 2
Lecture 3: Getting started with Data Visualization in R – part 3
Chapter 2: Data Visualization with ggplot2 package
Lecture 1: Data Visualization with ggplot2 package – part 1
Lecture 2: Data Visualization with ggplot2 package – part 2
Lecture 3: Data Visualization with ggplot2 package – part 3
Lecture 4: Data Visualization with ggplot2 package – part 4
Lecture 5: Data Visualization with ggplot2 package – part 5
Chapter 3: More Data Visualization Tools in R
Lecture 1: More Data Visualization Tools in R – part 1
Lecture 2: More Data Visualization Tools in R – part 2
Lecture 3: More Data Visualization Tools in R – part 3
Lecture 4: More Data Visualization Tools in R – part 4
Chapter 4: Project on Data Visualization with R
Lecture 1: Project: Visualizing Covid-19 – part 1
Lecture 2: Project: Visualizing Covid-19 – part 2
Lecture 3: Project: Visualizing Covid-19 – part 3
Chapter 5: End of Course Quiz
Instructors
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Uplatz Training
Fastest growing global Technology & Cloud Training Provider
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 6 votes
- 4 stars: 14 votes
- 5 stars: 6 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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