Is there any specific type of research study or any special calculations which can be performed only with python/r? and which library should we learn in python?
SPSS is fine for your basic qualitative studies and analysis.
However, there are massive advantages to using R and Python due to the much broader and more precise types of analyses which can be peformed.
For example, in R there is the Psych package which allows the user to peform complex regressions that measure the degree to which an intervention changed participants' behaviour over time, and to what extent. R also has the benefit of being able to produce beautiful tables and graphs to illustrate the output of these analyses.
I'm not as familiar with the Python environment, but Pandas and PyTorch are also powerful analytical libraries which can also express outputs as graphs.
I would recommend learning the following libraries:
NumPy: A library for numerical computing with Python. It provides fast and efficient array operations and mathematical functions.
Pandas: A library for data manipulation and analysis. It provides data structures for handling structured data, such as data frames and series.
Matplotlib: A library for data visualization. It provides a variety of plots and chart types for visualizing data.
Scikit-learn: A library for machine learning. It provides a variety of algorithms and tools for classification, regression, clustering, and dimensionality reduction
Python programming designed for machine learning and data science application. exclusively designed for AI applications instead of SPSS.
consequently SPSS deal only statistical analysis
R programming is replacement of python for data analytics.
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