Tutorials provide structured learning from first steps to complete analyses. Work through these examples to build your skills with BigDataStatMeth.
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.
Tutorial Sequence
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 →
Core operations
Master the essentials of working with large matrices stored in HDF5 format. Learn to create, manipulate, and retrieve data efficiently.
Continue learning →
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 →
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.