• phone icon +44 7459 302492 email message icon info@uplatz.com
  • Register

5 (41 reviews)
( 232 Students )
2 Hours


Project on Data Visualization with R

Learn how to analysis and visualization of R Programming on practical projects or applications, in real world scenarios.
( add to cart )
Save 59% Offer ends on 31-Dec-2023
  Price Match Guarantee   Full Lifetime Access     Access on any Device   Technical Support    Secure Checkout   Course Completion Certificate
Instant access

Students also bought -

Completed the course? Request here for Certificate. ALL COURSES

R is an amazing platform for data analysis, capable of creating almost any type of graph. This book helps you create the most popular visualizations - from quick and dirty plots to publication-ready graphs. Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks.

In data science, it's not enough to be able to analyze data. You must also be able to create compelling visualizations to showcase your insights and help people understand your results.

Data Visualisation is a vital tool that can unearth possible crucial insights from data. If the results of an analysis are not visualized properly, they will not be communicated effectively to the desired audience.

In this introductory course on data visualization in R, you will learn about the different resources you can use to explore and showcase your data visually. Most importantly, you'll learn how to use ggplot2, a powerful and immensely popular data visualization library for R.

By the end of this course, you will be able to create visualizations such as line charts, bar plots, scatter plots, histograms, and box plots to understand your data, and help others understand your data as well. You will also learn how to add and work with multiple plots in your code to show different visualizations in a single dashboard.


In this tutorial on Data Visualization with R, you will learn the analysis and visualization of R Programming. In this video course the tutor has demonstrated the analysis and visualization of Covid-19 datasets with the help of R Programming. With this course you will learn how to apply the concepts of R Programming on practical projects or applications, in real world scenarios.



Course/Topic - Project on Data Visualization with R - all lectures

  • This is a project tutorial titled Visualizing COVID-19 where you will see the different scenarios being explained by the tutor on visualizing COVID-19 data and how it can be done through Data Visualization in R process. In this first part, you will understand the complete overview of the project, its description and the different tasks associated with it being done by the ggplot.

    • 34:59
  • In this second part of the project video, you will learn about the “Annotate” process and the number of COVID cases being reported in China with the help of Data Visualization. You will be seeing the task performed on the dataset being provided by the WHO along with understanding the tribble function and how it will help during the entire work process.

    • 37:38
  • In this last part of the session, you will understand the work around of the task being done with the help of plot. You will see a detailed explanation by the instructor seeking help of few examples to explain the complete process of plotting in respect to the COVID-19 project being implemented.

    • 34:50
Objectives Back to Top

Learn to create basic bar charts, histograms, pie charts, scatter plots, line plots, box plots, and maps using R and related packages.

Learn to customize charts and plots using themes and faceting.

Learn to create maps using the Leaflet package for R.

Learn to create interactive dashboards using the Shiny package for R.

To be familiar with standard techniques for visualizing data, including heat maps, contour plots, etc.

To be able to transform raw data into formats suitable for analysis

To be able to perform basic exploratory analysis

To be able to create data visualizations in R.


Syllabus Back to Top
Certification Back to Top

The Data Visualization with R Certification ensures you know planning, production and measurement techniques needed to stand out from the competition. 

Data visualization is the technique used to deliver insights in data using visual cues such as graphs, charts, maps, and many others. This is useful as it helps in intuitive and easy understanding of the large quantities of data and thereby make better decisions regarding it.

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

Data visualization is not only important to communicate results but also a powerful technique for exploratory data analysis. Each plot type like scatter plots, line graphs, bar charts and histograms has its own purpose and can be leveraged in a powerful way using the ggplot2 package.

Data visualization is the practice of translating information into a visual context, such as a map or graph, to make data easier for the human brain to understand and pull insights from. The main goal of data visualization is to make it easier to identify patterns, trends and outliers in large data sets.

Uplatz online training guarantees the participants to successfully go through the  Data Visualization with R Certification provided by Uplatz. Uplatz provides appropriate teaching and expertise training to equip the participants for implementing the learnt concepts in an organization.

Course Completion Certificate will be awarded by Uplatz upon successful completion of the Data Visualization with R online course.

Career & Jobs Back to Top

The Data Visualization with R draws an average salary of $125,000 per year depending on their knowledge and hands-on experience.

Data visualization is a good career, but there aren't many jobs for making reports out of data because it's not a field per se. It's an excellent skill to have and is mostly used in other data jobs. You'll need to know front-end development or data analysis to offer real value to the company.

To be a data visualization engineer, one needs a degree from University in a subject that develops analytical skills like Math, Statistical, and computer science as they must have strong analytical skills. Let us clearly understand the different career paths and skills required for them.

Note that salaries are generally higher at large companies rather than small ones. Your salary will also differ based on the market you work in.

Analytics Consultant.

Data Visualization Engineer.

Data Scientist (Analytics)






Interview Questions Back to Top

1. List out the data types used in Python?

Python has the following built-in data types:

Number (float, integer)






Numbers, strings, and tuples are immutable data types, meaning they cannot be modified during runtime. Lists, sets, and dictionaries are mutable, which means they can be modified during runtime.


2. Mention few differences between lists and tuples.

The lists and tuples are made up of elements, which are values of any Python data type. However, these data types have a number of differences:

Lists can be altered, while tuples cannot be altered.

Lists are formedusing square brackets (For instance., my_list = [a, b, c]), whereas tuples are closedwithin parentheses (e.g., my_tuple = (a, b, c)).

Lists are bit slower than tuples.


3. Explain Python dictionary?

A dictionary is referred as one of the built-in data types in Python. It is used to define not sorted mapping of unique keys to values. Dictionaries are arranged by keys, and the values can be any valid Python data type (even a user-defined class). Dictionaries are mutable, which means they can be altered. A dictionary is formed with curly braces and indexed using the square bracket notation.


4. Define lambda functions?

Lambda functions refers to anonymous functions in Python. They're very useful when you want to define a function that's very short and consists of only one expression.


5. Define list comprehensions?

List comprehensions provide a concise way to create lists.


6. Explain how the list is used in Python?

A list is created using square brackets. But while using a list comprehension, these square brackets contain an expression followed by a for clause and then if clauses, when needed. Assessing the given expression in the context of these for and if clauses generates a list.


7. Define negative index, and how is it used in Python?

A negative index is used in Python to index a list, string, or other container class in reverse order (from the last).


8. Mention some well-known Python data analysis libraries?

The Python Data Analysis Libraries are:







9. Mention few similarities between R and Python.

R Programming Language Python Programming Language

Model Building is very similar to Python Model Building is very similar to R

Model Interpretability is better  Models Interpretability is not better than R

R has efficient data visualizations libraries and tools Python does not have efficient data visualizations libraries and tools


10. Define R Programming Language.

R is a programming language used for developing statistical software and data analysis.


11. How to write R commands?

R commands begin with # at the starting line of each code.


12. List out the cons of R Programming.

The cons are:

Lack of Standard GUI

Not preferred for big data

Does not provide data in spreadsheet view


13. What is the use of With() function?

The With() function is used to apply an expression to a dataset.


14. What is the use of By () function?

The By () function is used to apply t function at each level of factors.


15. How to represent missing values in R programming?

The missing values are represented as NA which should be only in capital letters.

Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.

Q4. Are the videos downloadable?
A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.

Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.

Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php

Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php

Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.

Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100

Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours. Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual

Q11. What are bundle courses?
A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience. Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle

Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies. Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done

Q13. What are Learning Path programs?
A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done

Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.

Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly. Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment. Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year. Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription

Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.

Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.