What will you in the The Data Scientist’s Toolbox Course
Set up essential tools: R, RStudio, Git, and GitHub
Understand the fundamentals of data science and data analysis
Comprehend the data science process and study design concepts
Create and manage GitHub repositories for version control
Program Overview
Module 1: Data Science Fundamentals
Duration: ~4 hours
Introduction to data science and its significance
Understanding different types of data
Exploring the data science process
Identifying resources for assistance and learning
Module 2: R and RStudio
Duration: ~4 hours
Installing R and RStudio
Navigating the RStudio interface
Managing R packages
Working with projects in R
Module 3: Version Control and GitHub
Duration: ~3 hours
Understanding version control systems
Installing and configuring Git
Creating and managing GitHub repositories
Collaborating using Git and GitHub
Module 4: R Markdown, Scientific Thinking, and Big Data
Duration: ~5 hours
Introduction to reproducible research principles
Creating dynamic documents with R Markdown
Integrating code and narrative
Publishing and sharing reproducible reports
Get certificate
Job Outlook
Aspiring Data Scientists: Gain foundational skills essential for data science roles.
Data Analysts: Enhance tool proficiency for data analysis tasks.
Researchers: Adopt reproducible research practices.
Students: Build a strong base for advanced data science studies.
Specification: The Data Scientist’s Toolbox
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