Career Paths & Certification
All Levels
4 hrs
2 Concepts
M1
Career Paths
Concept 1
Roles for R Analysts
R analysts work in finance, pharma, academia, NGOs, and tech. Key roles: Data Analyst, Statistician, Data Scientist, Bioinformatician.
R
# Key skills by role:
# Data Analyst: R, SQL, ggplot2, Excel
# Data Scientist: R + Python, ML, Shiny
# Statistician: R, SAS, clinical trials
# Bioinformatician:Bioconductor, RNA-seq
Solved Examples
Example 1
Apply the concept of Roles for R Analysts to a sample dataset. Show at least two approaches.
# See the code example above and adapt it to your data. # Always check your output with str() and head().
Self-Assessment (2 questions)
Q1. What is the primary purpose of roles for r analysts?
Q2. Which R package is most relevant for this topic?
M2
Portfolio Building
Concept 1
Building a Strong Portfolio
Employers want to see real work: GitHub repositories, Kaggle participation, a personal blog or Quarto website.
R
# Portfolio checklist:
# 1. 5+ public GitHub repos with README
# 2. Kaggle profile with at least 1 bronze medal
# 3. quarto::create_website() for your blog
# 4. LinkedIn: add R, dplyr, ggplot2, Shiny skills
# 5. Write 1 blog post per month explaining a new technique
quarto::create_website(dir='my-portfolio', type='blog')
Solved Examples
Example 1
Apply the concept of Building a Strong Portfolio to a sample dataset. Show at least two approaches.
# See the code example above and adapt it to your data. # Always check your output with str() and head().
Self-Assessment (2 questions)
Q1. What is the primary purpose of building a strong portfolio?
Q2. Which R package is most relevant for this topic?