Data Science with R for Life Scientists: Beginners | Image

Data Science with R for Life Scientists: Beginners

Learn to use R to:
  • Manipulate, Manage, Clean and Analyze your data
  • Visualize and Present your statistical and data analysis
  • Interpret your data
Price: $ 50 $ 20

Our alumni work at

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I had a great learning experience and importantly, I was super excited today because I got the opportunity to put my learning to use and I was able to do just that!
Aanuoluwa E.A.
Aanuoluwa E.A.
Now in University of Oklahoma

About the Course

About the Course

Get hands-on-experience in R for data analysis, visualization and presentation. We will teach you how to interact with the new Posit (formerly RStudio) GUI and you will be able to reproduce and interprete the complex datasets that have being reported in Nature and Cell papers.

Course Syllabus

Welcome 🀝!

  • Welcome to HackBio
  • The New Platform: Learning
  • Testing the Platform
  • Getting Help
  • Introduction to R and R Studio
  • A Quick Test πŸ‘€
  • Quick Pre-Assessment

Introduction to R and R Studio πŸŽ™οΈ

  • R Programming Language 🀟
  • R Studio
  • Test One
  • You did it πŸ’ͺ.

The R programming Syntax 🍱

  • What is Syntax?
  • R Syntax: Variable Assignment
  • R Syntax: Comments (#)
  • R Syntax Questions
  • Your comments for us
  • Your Comments
  • Wow! You did it πŸ’ͺ.

Data Types for Life Scientists 🧡

  • Welcome to data types!
  • Data Types: Numeric
  • Numerics
  • Data Types: Characters
  • Data Types: Logicals
  • Characters and Logicals
  • Well DoneπŸ€™πŸΎ!
  • How do you feel about the course so far?

Data Structures in Life Science ⛩️

  • Why Data Structures?
  • Vectors
  • Implementation of Vectors
  • Vectors Test
  • Introduction to Matrices
  • Implementation of Matrices
  • Matrices Quiz
  • DataFrames in R
  • Implementing Dataframes
  • DataFrames Test
  • The List Data Structure: Introduction
  • Implementation of Lists
  • Social Time
  • Why Do You Need Data Structures as a Life Scientist
  • Yaay! You completed the Data part of this course

Visualizing scientific data with R πŸ“ˆ

  • Welcome to Visualizations πŸ‘οΈ!
  • What are Barplots?
  • Creating Bar Plots
  • Barplot Test
  • What are Scatter Plots?
  • Creating Scatter Plots
  • Scatterplots Test
  • Why should you put legends on your plot?
  • Adding Legends/Keys to your plot
  • Legends Test
  • Yaaay! Now let's move on to harder things.
  • Your take on this Section

Exploratory Data Analysis πŸ”­

  • Exploration: Let's Begin
  • Introduction to .RMD Files πŸ“—
  • Introduction to RMD πŸ“—
  • Introduction to our Dataset
  • Access the dataset
  • Dataset Introduction
  • Descriptive Statistics πŸ“ˆ
  • Descriptive Statistics Test
  • Dive in with Visualization
  • Visualize the Dataset
  • Deep Dive in With Visual Analytics
  • Deep Dive with Visual Analytics II
  • Deep Dive Assessment πŸ›Ÿ
  • Further Interpretation of the plots
  • Deep Dive III
  • Did we miss the statistical analysis part 🀭?
  • About the section

Inferential Statistics on Scientific Data πŸ“Š

  • The final lap
  • Central Limit Theorem
  • Central Limit Theorem Quiz
  • Hypothesis Testing
  • Calculating Significance
  • Hypothesis & Significance Test
  • Statistical Testing: Hands On
  • Hands-On Significance Testing
  • About this course!
  • Have you learnt anything at all?
  • Post Assessment
  • You deserve a medal πŸ₯‡!

Projects πŸ₯‡

  • Welcome to the project section😎.
  • DumbDeseq: RNA Expression Software
  • Malaria Detector
  • Public Health: National Nutritional Health
  • Extreme Plotting in R πŸ”₯
  • Using CRISPR to find drug targets
  • Protein Biochemistry (Site Specific Mutagenesis)

What next after this course?

  • Talk to an expert mentor about your career plans
  • What Next: Getting into graduate school (Masters or PhD) πŸ”¬πŸ‘©β€πŸ”¬πŸ§‘πŸΌβ€πŸ”¬
  • What Next: Getting a job in a company πŸ§‘β€πŸ’»πŸ‘©πŸ»β€πŸ’»
  • What Next: Improving your skills at work πŸ“ˆ 🍳
Technologies you will use
Data Science

Data Science

R Programming

R Programming

Data Science with R for Life Scientists: Beginners

100% Practice Oriented
Immediately applicable skills
High quality portfolio projects
Price: $ 50 $ 20

Here is the Plan

Estimated Time

10 hours/week

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Real world projects

From industry and academia

Self-paced, flexible learning

Control your learning time and pace

Support for computing

You don't have to buy a new computer to learn

Not sure of where to start?

Take our pathfinder test to get you aligned on passion and future

Your opportunity to land:

βœ… Modern PhD Research Opportunity
βœ… Bioinformatics Scientist/Analyst
βœ… Research Internships