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Accordingly, there are many Python libraries which are open-source including Data Manipulation, Data Visualisation, Machine Learning, NaturalLanguageProcessing , Statistics and Mathematics. Consequently, you need to be skilled in cleaning, manipulating, and structuring the data efficiently.
Leaving aside the more established skills here’s a visual look at the newer skills NaturalLanguageProcessing (NLP), Tokenization, Transformers, Representation Learning and Knowledge Graphs NLP (NaturalLanguageProcessing) The NLP engineer can be considered a precursor to the Promt Engineer.
Here are some steps to help you make the transition: Assess your current skills: Evaluate your computer science background and identify the skills that can be applied to data science. These may include programming languages (such as Python , R, or SQL), data structures, algorithms, and problem-solving abilities.
D Data Mining : The process of discovering patterns, insights, and knowledge from large datasets using various techniques such as classification, clustering, and association rule learning. DataWrangling: The cleaning, transforming, and structuring of raw data into a format suitable for analysis.
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