Data Visualizations using R with Data Processing

Data Visualizations with R

What you'll learn
Data Visualizations using R
Requirements
Fundamentals R programming
Description
Why learn Data Analysis and Data Science?
According to SAS, the five reasons are
1. Gain problem solving skills
The ability to think analytically and approach problems in the right way is a skill that is very useful in the professional world and everyday life.
2. High demand
Data Analysts and Data Scientists are valuable. With a looming skill shortage as more and more businesses and sectors work on data, the value is going to increase.
3. Analytics is everywhere
Data is everywhere. All company has data and need to get insights from the data. Many organizations want to capitalize on data to improve their processes. It's a hugely exciting time to start a career in analytics.
4. It's only becoming more important
With the abundance of data available for all of us today, the opportunity to find and get insights from data for companies to make decisions has never been greater. The value of data analysts will go up, creating even better job opportunities.
5. A range of related skills
The great thing about being an analyst is that the field encompasses many fields such as computer science, business, and maths. Data analysts and Data Scientists also need to know how to communicate complex information to those without expertise.
The Internet of Things is Data Science + Engineering. By learning data science, you can also go into the Internet of Things and Smart Cities.
This is the bite-size course to learn R Programming for Data visualizations. In CRISP-DM data mining process, Data Visualization is at the Data Understanding stage. This course also covers Data processing, which is at the Data Preparation Stage.
You will need to know some R programming, and you can learn R programming from my "Create Your Calculator: Learn R Programming Basics Fast" course. You will learn R Programming for applied statistics and you will be able
You can take the course as follows, and you can take an exam at EMHAcademy to get SVBook Certified Data Miner using the R certificate :
- Create Your Calculator: Learn R Programming Basics Fast (R Basics)
- Applied Statistics using R with Data Processing (Data Understanding and Data Preparation)
- Advanced Data Visualizations using R with Data Processing (Data Understanding and Data Preparation, in the future)
- Machine Learning with R (Modeling and Evaluation)
Content
Getting Started
Getting Started
Getting Started
Hello World Application
Data Mining Process
Download Dataset
Read Dataset
Bar Plot
Export Bar Chart as Image
Horizontal Bar Chart
Histogram
Histogram with Density Line
Line Chart
Multiple Line Chart
Pie Chart
3D Pie Chart
Scatterplot
Boxplot
Scatterplot Matrix
GGPlot 2
Aesthetic Mapping and Geometric
GEometrics
Labels and Titles
Themes
GGPlot2: Bar CHart
GGPlot2: HIstogram
GGPlot2: Density Plot
GGPlot2: Scatterplot
GGPLot2: Line Chart
GGPLot2: BoxpLot
Save GGPLot Image
Data Processing: Select Variables
Data Processing: Sort Data
Data Processing: Filter Data
Data Processing: Remove Duplicates and Missing Values
References:
This course is actually based on the Learn R for Applied Statistics book I have published at Apress.
Who this course is for:
Beginner Data Scientist or Analyst interested in R programming

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