Data Science Tutorials

A comparison between two data orchestration tools and how they may be utilized to improve data workflow management.

A beginner-friendly, comprehensive tutorial on performing Monte Carlo Simulation in Microsoft Excel, along with examples, best practices, and advanced techniques.

Unlock the power of Large Language Models (LLMs) in your applications with our latest blog on "Serving LLM Application as an API Endpoint Using FastAPI in Python." LLMs like GPT, Claude, and LLaMA are revolutionizing chatbots, content creation, and many more use-cases. Discover how APIs act as crucial bridges, enabling seamless integration of sophisticated language understanding and generation features into your projects.

Learn how to combining multiple plots in R into one graph with either the par() or layout() functions. This page includes coding examples.

Learn how to use arithmetic and logical operators in R. These binary operators work on vectors, matrices, and scalars.

Learn three methods to transpose a matrix in R in this quick tutorial

Improve your graphs in R with titles, text annotations, labelling of points, minor tick marks, reference lines, custom axes, and a chart legend.

Learn how to create a scatterplot in R. The basic function is plot(x, y), where x and y are numeric vectors denoting the (x,y) points to plot.

Learn the advanced aspects of resource management in Python by mastering how to write custom context managers.

Explore different approaches to enhance RAG systems: Chunking, Reranking, and Query Transformations.

Learn how to use the RELATED DAX function in Power BI to simplify data modeling and build insightful reports.

How to sort a data frame in R.