Data mining is a process of extracting useful information from a large dataset, typically using statistical and machine learning methods. It requires specialized skills in data analysis and programming. Data miners use a variety of techniques, algorithms, and tools to extract insights, patterns, and correlations that can be used to improve business decisions, optimize processes, and drive innovation. The process involves data selection, cleaning, transformation, modeling, and evaluation. Data mining can be applied to various domains, such as marketing, finance, healthcare, and social media, among others.

Data Storytelling refers to the practice of combining data, analysis, and narrative structure to communicate findings in a clear and meaningful way. It is used to explain trends, highlight patterns, and support decision making for varied audiences in business and other professional settings. The skill involves selecting relevant data, organizing information logically, and presenting insights in a way that supports understanding and action.

Data Visualization is the ability to analyze information and create documents and summaries that present information in an organized format tailored to a specific audience and purpose. This skill enables users to visually represent complex data, enhancing comprehension and facilitating effective communication. It plays a crucial role in conveying insights, trends, and patterns, ensuring that information is communicated efficiently and comprehensively to the intended stakeholders.

Descriptive Analytics refers to the process of analyzing historical data to identify trends, patterns, and insights that inform decision-making. This skill encompasses the use of statistical techniques and data visualization tools to summarize past events and performance metrics. Knowledge of Descriptive Analytics is used to enhance understanding of business operations, customer behavior, and market dynamics, enabling organizations to make informed strategic choices based on empirical evidence.

Periscope Data (BI Software) refers to a business intelligence tool used to query, analyze, and visualize data for reporting and decision support. It is used in work settings to build dashboards, track key measures, and present findings in a format that supports business planning. It also supports the preparation of recurring reports and the review of operational performance across teams.