Install R/RStudio and execute basic commands.

Understand R data types and variable handling.

Create variables and perform basic operations.

Store and manipulate data using vectors and matrices.

Perform matrix operations on biological datasets.

Organize biological data using lists and data frames.

Construct structured biological datasets.

Use conditional statements and loops in R.

Generate and analyze random DNA sequences.

Create functions and manage input/output files.

Import and export biological data files.

Apply basic statistics to biological datasets.

Perform a t-test and interpret the results.

MCQ-based CA1 evaluation and participant feedback.

Create biological plots using ggplot2.

Practice plotting and interpreting biological data.

Develop advanced scientific visualizations.

Create comparative plots for biological datasets.

Prepare publication-quality scientific graphics.

Practice comparative visualization techniques.

Analyze DNA and protein sequences using Seqinr.

Import and analyze FASTA sequence files.

Explore Bioconductor and introductory NGS concepts.

Practice basic FASTQ dataset analysis.

Transform biological data into analysis-ready formats.

Practice biological data reshaping exercises.

Prepare scientific visualizations and reports.

Create and refine scientific visualizations.

CA2 evaluation through mini review article submission.