Design-Based Inference : Design based inference is a statistical methodology that aims to understand the effects of a certain treatment or intervention on a given population. This approach is often used in social science research, where the goal is to understand how a particular policy or program affects a group of individuals or a community. […]

Density Based Clustering : Density-based clustering is a method of clustering data points based on their density, or the number of points within a given area or region. This method is particularly useful for identifying clusters of data points that may not have a clear or well-defined shape, such as clusters that are elongated or […]

Dendrogram : A dendrogram is a diagram that shows the hierarchical relationship between different groups or clusters of data. It is typically used in the fields of biology and data mining, and it is a useful way to visualize and analyze the structure of complex data sets. In a dendrogram, the data is organized into […]

Deep Learning : Deep learning is a subfield of machine learning that uses algorithms to model and replicate the workings of the human brain. This approach to artificial intelligence allows for the creation of complex neural networks that can process vast amounts of data and make highly accurate predictions or decisions. One example of deep […]

Decision Tree : A decision tree is a graphical representation of a decision-making process that helps individuals and organizations make better decisions by considering various options and the potential outcomes of each. The tree is typically divided into different branches, with each branch representing a possible decision or action. The branches are then further divided […]

Data Wrangling : Data wrangling, also known as data munging, is the process of cleaning and transforming raw data into a format that is more suitable for analysis and visualization. This involves a combination of tasks such as identifying and correcting errors in the data, filling in missing values, and converting data into a consistent […]

Data Warehouse : A data warehouse is a central repository of integrated data from one or more disparate sources. It provides a consistent, single source of truth for data analysis and reporting. One example of a data warehouse is in the retail industry. A retail company may have multiple systems for managing sales, inventory, customer […]

Data Visualization : Data visualization is the process of representing data in a visual format, such as a graph or chart. It allows people to understand and analyze data more easily, and make better-informed decisions based on that information. One common example of data visualization is a line graph. A line graph is used to […]

Data Structure : Data structures are the building blocks of computer programs and algorithms. They allow for the organization and manipulation of data in a way that is efficient and effective. There are many different types of data structures, each with their own unique characteristics and benefits. One common type of data structure is the […]

Dataset : A dataset is a collection of data that is organized and structured so that it can be easily accessed, managed, and analyzed. Datasets are typically used in the fields of science, engineering, and statistics to study phenomena, test hypotheses, and develop models and theories. One example of a dataset is a collection of […]