Data Visualizations using R with Data Processing

Data Visualizations using R with Data Processing, available at $19.99, has an average rating of 4.5, with 35 lectures, based on 1 reviews, and has 512 subscribers.

You will learn about Data Visualizations using R This course is ideal for individuals who are Beginner Data Scientist or Analyst interested in R programming It is particularly useful for Beginner Data Scientist or Analyst interested in R programming.

Enroll now: Data Visualizations using R with Data Processing

Summary

Title: Data Visualizations using R with Data Processing

Price: $19.99

Average Rating: 4.5

Number of Lectures: 35

Number of Published Lectures: 35

Number of Curriculum Items: 35

Number of Published Curriculum Objects: 35

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Data Visualizations using R

Who Should Attend

Beginner Data Scientist or Analyst interested in R programming

Target Audiences

Beginner Data Scientist or Analyst interested in R programming

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

1. Getting Started

2. Getting Started

3. Getting Started

4. Hello World Application

5. Data Mining Process

6. Download Dataset

7. Read Dataset

8. Bar Plot

9. Export Bar Chart as Image

10. Horizontal Bar Chart

11. Histogram

12. Histogram with Density Line

13. Line Chart

14. Multiple Line Chart

15. Pie Chart

16. 3D Pie Chart

17. Scatterplot

18. Boxplot

19. Scatterplot Matrix

20. GGPlot 2

21. Aesthetic Mapping and Geometric

22. GEometrics

23. Labels and Titles

24. Themes

25. GGPlot2: Bar CHart

26. GGPlot2: HIstogram

27. GGPlot2: Density Plot

28. GGPlot2: Scatterplot

29. GGPLot2: Line Chart

30. GGPLot2: BoxpLot

31. Save GGPLot Image

32. Data Processing: Select Variables

33. Data Processing: Sort Data

34. Data Processing: Filter Data

35. 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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Getting Started

Lecture 2: Getting Started 2

Lecture 3: Getting Started 3

Lecture 4: Hello World Application

Lecture 5: Data Mining Process

Lecture 6: Download Dataset

Lecture 7: Read dataset

Lecture 8: Bar Plot

Lecture 9: Export Bar Plot Image

Lecture 10: Horizontal Bar Chart

Lecture 11: Histogram

Lecture 12: Histogram with Density Line

Lecture 13: LIne Chart

Lecture 14: Multiple Line Chart

Lecture 15: Pie Chart

Lecture 16: 3D Pie Chart

Lecture 17: Scatterplot

Lecture 18: Boxplot

Lecture 19: Scatterplot Matrix

Lecture 20: GGPlot2

Lecture 21: Aesthetic mapping and Geometric

Lecture 22: Geometric

Lecture 23: Labels and Titles

Lecture 24: Themes

Lecture 25: Bar Chart

Lecture 26: Histogram

Lecture 27: Density Plot

Lecture 28: Scatterplot

Lecture 29: Line Chart

Lecture 30: Boxplot

Lecture 31: Save GGPLot

Lecture 32: Select Attributes

Lecture 33: Sort Data

Lecture 34: Filter Data

Lecture 35: Remove Missing Values and Duplicates

Instructors

Goh Ming Hui
Offer affordable data science courses.

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4 stars: 1 votes

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Frequently Asked Questions

How long do I have access to the course materials?

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!