12/27/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data Science is the collection, analysis and interpretation of data. It involves the application of mathematical methods, statistical models, and machine learning techniques to identify trends and pattern recognition in data and make predictions. It is an interdisciplinary discipline that requires both conceptual and technical skills.
12/09/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Monitoring is a technique for monitoring and measuring resources, services and systems running within a network. The goal is to detect changes in the system, problems or anomalies that require specific actions, and to monitor the performance of the system. It can also be used to collect trends and statistical data about the status of the system.
12/09/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
A data analyst is a person who evaluates large data sets to gain insightful information and understand how organizations and businesses can make better decisions. They use a variety of analytical methods, including statistical modeling, machine learning, and data mining, to gain these insights.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Statistical analysis is a process used to examine data in various ways to gain certain insights. It can help to understand how certain factors relate to each other, what patterns and trends are present in the data, and how to predict the behavior of the data. The techniques of statistical analysis can help in decision making, forecasting, and prediction.
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Statistical analysis is a process of analyzing data from a specific area to gain certain insights. It is often used to make decisions or gain a better understanding of a situation. It can help identify trends and patterns that may be important to a particular decision. It can also help solve a problem or make a decision by evaluating past results.