12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data analytics is a technique used to gain insights from data through research and application of mathematical, statistical, and algorithmic techniques. Data analytics is commonly used in many different areas of business and academia to make decisions and gain new insights. It can help improve efficiency and productivity by identifying problems and suggesting potential solutions.
12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Python is an object-oriented, interpreted programming language designed for a wide range of applications. It can be used for web development, data analysis, scripting, automation, and more. Python's focus is on readability and brevity of code, allowing programmers to create programs quickly and efficiently. Python is open source software that is available for free and runs on all major platforms.
12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
R is a programming language and software environment used for statistical computing and graphics. It is widely used for machine learning, data analysis and graphical representation. It is an open source project developed by statisticians and programmers from all over the world. It is also a popular tool for researchers and scientists.
12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
STATA is a proprietary statistical software used for analyzing complex data sets and creating statistical reports. It is widely used in economics, sociology, political science, and epidemiology. STATA offers a wide range of features, including Data Management, Data Analysis, Graphics and Simulation. It is also used to create linear models, regression-based estimation, panel analysis, time series analysis, multiple comparisons, numerical analysis, and complex data structures.
12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
SPSS (Statistical Package for the Social Sciences) is a software used for statistical analysis and for creating reports, graphs and tables. It provides tools to analyze, understand and transfer complex data. It is a powerful tool to produce research results that can be used for decision making and strategic planning. It can also be used as a data management tool to organize and manage data.