Jan Bischoff
  • Research Institutes
    • Overview
    • Course: Introduction to Data Science with Python
    • Course: Natural Language Processing
    • Course: Advanced Data Visualization
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  • Pupils & Parents
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Research Institutes

Are you working for a research institute and looking to provide your researchers with the best possible support?

I support your team with the following specialized courses:

Introduction to Data Science with Python
  • Python syntax and fundamentals, including the use of Jupyter Notebooks as a development environment
  • Data analysis, data wrangling, and data visualization using numpy, pandas, and matplotlib
  • Introduction to applying basic statistical models in Python with scikit-learn
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Mastering Natural Language Processing (NLP)
  • Processing and cleaning raw text data for analysis
  • Transforming text into numerical representations using techniques such as TF-IDF and Word Embeddings
  • Building and evaluating models for tasks like Sentiment Analysis, Topic Modeling, and Named Entity Recognition
  • Implementing best practices for interpretability, reproducibility, and the responsible use of NLP in research
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Data Visualization with Python
  • Creating graphics for the exploration and presentation of multivariate datasets
  • Utilizing Python libraries such as Seaborn and Matplotlib to create customized figures
  • Visualizing statistical models, confidence intervals, and distribution-based uncertainty
  • Applying best practices for clarity, accuracy, and aesthetics in academic data visualization
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