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Data Science Tuition

Every syllabus covered — all sessions fully online, matched within 24 hours, first session free.

Python for Data Science Machine Learning Basics Data Analysis & Visualisation SQL for Data Analysis R Programming University Data Science Modules
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Topics & syllabi covered

Python Foundations
  • Python basics — variables, loops, functions
  • NumPy for numerical computing
  • Pandas for data manipulation
  • Matplotlib and Seaborn for visualisation
  • Jupyter Notebook workflow
Machine Learning
  • Supervised learning — regression and classification
  • k-NN, decision trees, random forests
  • Model evaluation — accuracy, precision, recall
  • Train/test split and cross-validation
  • Scikit-learn library in Python
Data Engineering
  • SQL for data querying and joins
  • Database design fundamentals
  • Data cleaning and preprocessing
  • Exploratory data analysis (EDA)
  • R for statistical computing and visualisation

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