Tutorials

NoteLearn by Doing

Tutorials provide structured learning from first steps to complete analyses. Work through these examples to build your skills with BigDataStatMeth.

1 Progressive Learning Path

These tutorials are designed to be followed in sequence, each building on concepts from the previous one. By the end, you’ll be able to perform complete statistical analyses on large-scale datasets.


2 Tutorial Sequence

TipGetting Started

Foundation skills

Learn the basics of BigDataStatMeth: installation, setup, and your first operations with the package.

Start here if you’re new to BigDataStatMeth.

Begin tutorial →

WarningWorking with HDF5 Matrices

Core operations

Master the essentials of working with large matrices stored in HDF5 format. Learn to create, manipulate, and retrieve data efficiently.

Continue learning →

ImportantYour First Analysis

Complete workflow

Put everything together in a complete analysis. Apply what you’ve learned to solve a real statistical problem from start to finish.

Complete your training →


NoteWhat’s Next?

After completing these tutorials, explore Practical Workflows to see how these concepts apply to real research problems, or consult the API Reference for detailed function documentation.