12/05/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
MariaDB is a relational, open-source database based on an advanced variation of MySQL. It was developed as a high-performance alternative to MySQL and offers a number of security and performance improvements that reduce the risk of data loss or corruption. MariaDB is widely used by many large companies and websites. It is also a popular tool for web developers, as it is easy to use and manage.
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
SQL (Structured Query Language) is a programming language used for relational databases. It is used to create, modify, retrieve, and delete data in a relational database. MySQL is an open source relational database system based on SQL that is commonly used for web applications and websites. MySQL is one of the most widely used databases and can be installed on a variety of operating systems and hardware 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.