News / Blog: #statistical

What is data analysis?

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.

What is "R"?

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.

What is STATA?

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.

What is SPSS?

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.

Become a Data Scientist - Study Data Science or not?

Many students and high school graduates ask themselves what, in view of the future, would be a good and thus above all sustainable career choice.

If there is a fundamental interest and talent in the topics of IT, software, programming and statistics and mathematics, a number of possible courses of study could be listed.

Whoever finds the profession of a programmer or data engineer too one-sided should look into the job description of a data scientist.

In contrast to pure programmers, the profession of a Data Scientist combines planning, programming and statistical analysis and can therefore definitely be considered more diversified.

Currently, Data Scientists are highly demanded professionals in the labor market. However, whether labor demand in Data Science will continue to exceed supply remains to be seen.

Because in addition to the traditional route of studying, e.g., computer science or business information systems or bachelor's and master's degree programs directly in the field of Data Science, there are an increasing number of fast-track courses and private training programs designed to impart the skills in demand on the market in a compact or condensed format.

The increasing number of available Data Scientists, the further globalization and flexibilization and the increasing acceptance regarding the possible elimination of the need for a degree, could lower the salary level again, seen in the long term. At the same time, simpler tasks in the day-to-day work of a Data Scientist will be able to be partially or completely taken over by algorithms due to automation and advances in the field of artificial intelligence / AI.