Category: Tutorials

This is the continuation of the previous post on Part-1 Scatterplot Sometimes we want to know if two variables mean something when put together, whether a small change in one variable affects the other variable. In such cases, plotting a scatterplot, or scatter-diagram, with our data points can help us to check whether there is…

Data visualization is a critical technique in interpreting and communicating complex data, transforming raw numbers into intuitive visual formats like graphs, charts, and maps. This approach leverages the human brain’s capability to process visual information more efficiently than text, making it invaluable in our data-rich world. It simplifies complex information, allowing for the easy identification…

A typical data science pipeline is a series of steps and processes that data scientists follow to extract valuable insights and knowledge from data. While the specific steps may vary depending on the project and the organization, here is a general overview of a typical data science pipeline Question or Problem Definition: Data Collection: Data…

Data science, at its core, is the art of deriving actionable insights from data. It combines domain and business knowledge to frame meaningful questions, mathematics and statistics to analyze and interpret data, and computer science and programming to develop algorithms and tools for data processing. This interdisciplinary field empowers organizations to make informed decisions, optimize…

Data science is a dynamic and multidisciplinary field that revolves around extracting valuable insights and knowledge from vast and complex datasets. It merges expertise from various domains, including statistics, computer science, and domain-specific knowledge, to uncover patterns, trends, and actionable information. Data scientists leverage cutting-edge tools and techniques to transform raw data into meaningful solutions,…