Introductory R & Data Visualization for Bioinformatics
A Course In Gold Bioinformatics Plan
ENGLISH WITH SUBTITLES IN SPANISH, ENGLISH, FRENCH, ARABIC
27 students
53.99$
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100% Positive reviews (8)
27 students
56 Lessons (05h 48m 08s)
Online and at your own place
Available on your phone
Audio: English
English, Spanish, French, Arabic
Level: INTRODUCTORY
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Introductory R & Data Visualization For Bioinformatics Allows You To Enhance Your Biological Programming Skills In R
Everyday Bioinformatics analysis involves bridging together different steps of computational processing into a single pipeline, and then applying that pipeline to many other files repeatedly. Biological data visualization is also an important aspect of bioinformatics which involves the graphical representation of unstructured or structured data to display information hidden in the plots/graphs.
In this course you’ll learn various concepts related to how to write your first script in R, various built-in functions and packages provided by R. Along with, how to write built-in functions in R, work with loops and how to control the flow of your program and script. You’ll also be able to write programs to generate publication-ready and high quality graphical plots of biological datasets to visualize, analyze and compare the datasets in a more insightful way.
Joining and learning from the Introductory R & Data Visualization for Bioinformatics can enhance your biological programming career by learning through various useful & informative pre-recorded lectures on R & various ggplot2 functions to create interactive plots on biological datasets.
Each Plan Includes
Step-by-step pre-recorded lectures
Subtitles (English, Spanish, French, Arabic)
Learn any time, any where!
Transcription
Notes
Coding scripts
BioPresentations
Exercises
Automated Evaluations (MCQs)
100% Authentic Certificate
53.99$
100% Positive reviews (8)
27 students
56 Lessons (05h 48m 08s)
Online and at your own place
Available from the phone
Audio: English
Spanish, English, Arabic, French
Level: INTRODUCTORY
Course Content
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C2
C3
C4
C5
C6
C7
C8
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C10
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C18
Introduction to R & installation of R Studio
Variables & Functions
Vectors & Data Types
Packages
Biological Data Analysis
Control Flow
Introduction to ggplot2 package & its Key Components
Biological Data Visualization
Boxplot
Histogram
Frequence Plot
Bar Chart
Limitations and Scaling
Visualization Manipulations
Phylogenetic Tree Visualization
Visualizations in High Resolution
Volcano Plot
Heatmap
Target Audience
The target audience forIntroductory R & Data Visualization for Bioinformatics course are biologists, beginner or intermediate Bioinformaticians or data analysts with no or little experience in Bioinformatics scripting and programming.
However, a superficial understanding of logic development for coding is expected from you before you join the course.
Bioinformatics is quite easy to get started in, even if you lack a proper understanding of the underlying concepts of Bioinformatics databases, servers, tools and the algorithms working behind them.
Contents
Categories
Lecture Count
Introduction to R & installation of R Studio
3 Lectures
Variables & Functions
5 Lectures
Vectors & Data Types
13 Lectures
Packages
4 Lectures
Biological Data Analysis
13 Lectures
Control Flow
3 Lectures
Introduction to ggplot2 package & its Key Components
2 Lectures
Biological Data Visualization
3 Lectures
Boxplot
1 Lecture
Histogram
1 Lecture
Frequence Plot
1 Lecture
Bar Chart
1 Lecture
Limitations and Scaling
1 Lecture
Visualization Manipulations
1 Lecture
Phylogenetic Tree Visualization
1 Lecture
Visualizations in High Resolution
1 Lecture
Volcano Plot
1 Lecture
Heatmap
1 Lecture
Total Lectures
56 Lectures
Total Duration
05h 48m 08s
This is what BioCode Courses are Like
Learn at Your Own Pace
Enjoy learning from home without a set schedule. You set your own timetable.
Always Accessible
Each instructor teaches only what she/he does best, conveying true passion and excellence in every lesson.
Front Row Seats
Videos of the highest quality ensure that you don't miss a single detail. With unlimited access, you can watch them over and over.
Additional Resources
Downloadable transcription files, BioPresentations, and code scripts for each lecture to ensure that you don’t miss a single detail at any step. With automated evaluations & exercise questions, you can track your progress.
Learn From the Best
Learn valuable methods and techniques explained by top experts in the creative sector.
Certificate
Demonstrate your course attendance with a certificate signed by the teacher.
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The topics covered in Introductory R & Data Visualization for Bioinformatics are also incorporated in the following courses:
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Content Duration:
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Functional Bioinformatics Internship
The 60-Days Project Based Functional Bioinformatics Internship is specifically catered and designed for Beginners and intermediates in Bioinformatics. This internship covers a complete basics to advance level practical and real-life course and research work. Learn how to develop in-demand bioinformatics skills in Linux scripting, Bioinformatics databases analysis, Bioinformatics scripting/software development, & Biological data analyst.
Biological Data Visualization with ggplot2 in R
Get hands-on experience on the basic to advanced level analysis & visualization of biological datasets using the ggplot2 packages in R language. Also learn how to write scripts, preprocess, explore, visualize and analyze biological datasets for more meaningful biological research.
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