Data Visualization in R
This five-week course takes you from the fundamentals of R and visualization to an advanced level. Get hands-on experience in one of the most important data visualization platform and you will be able to immediately apply what you learn in the real world.
After an introduction to R and it’s base graphics, you will equip yourself with the skills you need to look at a number of R plotting examples, from simple graphs such as scatterplots to correlation matrices and complex plots like 3-D, heatmaps, and bubble charts. You will learn about different types of visualization and find the suitable one based on your data.
What is R?
R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.
In this course, you will learn the most important things you need to know to convert the nonsense numbers to meaningful plots in R.
What will you achieve after this course?
R is rapidly becoming mandatory for data science and data analysis field. Each year, R gains in popularity and in 2020 it is among the top ten languages of 2020. This implies that the demand for individuals with R knowledge is growing, and consequently learning R is definitely a smart investment career.
If you want to enter the field of Data Science and have a well-paid salary, then you must definitely learn R and this course is perfect for you.
Watch the video for more information:
Data visualization in R, What you will learn
The unique Features of this course:
✔ 10 Hours of Live Instructor-Led Training
✔ Learn By Doing Projects
✔ Industry experienced Instructor
✔ Guest Speaker Sessions
✔ ComeMit Certificate
✔ Multi language Training and Support
Made with ❤️ in Germany
What you will learn:
Data Visualization in R
(No Prerequisites)
You will learn:
✔ All the basics to start with R
✔ Which type of visualization is suitable for your data
✔ Structuring and importing your data into R
✔ How to calculate and present summary statistics
✔ Summary statistics or data distribution
✔ Scatter plots
✔ Time series analysis
✔ Plotting big data
✔ Combining and customizing plots
✔ Statistical models and correlation
✔ Complex plots: 3-D plots, Heatmaps, Bubble charts
✔ Spatial data — mapping
✔ Animating plot
And then…
✔ You can fill-up your resume with professional use cases in R
✔ You can start to visualize your data in the best possible way
✔✔ You will become a Data Visualization Artist!
Ehsan Eyshi Rezaei
Data Analyst and Data Visualization Expert
Ehsan is a Tenure Track ecosystem modeler at Leibniz Centre for Agricultural Landscape Research (ZALF).
He received his Ph.D. in Agricultural Science from the University of Bonn and is recognized for his great contributions to development and application of dynamic crop models to analysis of agricultural systems response to climate variability and change over large scales.
His work has appeared in the top scientific journals such as Nature Climate Change, Nature Plants, Global Change Biology, and Environmental Research Letters.
He holds regular workshops on Data Analysis and Visualization using R at University level.
Weekly Full Course
(English)
✔10 hours of Live Instructor-Led Training
(Weekly 1 session, 2 hours)
✔10 Hours of Assignments and Reviews by Professionals
✔10 Hours of Continual Learning Support
Start from Saturday 01.05.2021,
14pm – 16pm (CET)
Price: 399 Euro
Weekly Full Course
(Persian)
✔10 hours Live Instructor-Led Training
(Weekly 1 session, 2 hours)
✔10 Hours of Assignments and Reviews by Professionals
✔10 Hours of Continual Learning Support
Start from Friday
30.04.2021
18pm – 20pm (CET)
Price: 349 Euro