Data Science Curriculum

  • Python advanced concepts
  • NumPy
  • Pandas reading and writing files
  • Matplotlib & Seaborn
  • Missing values and visualisations
  • Linear regression
  • Decision tree: Clustering / K-means / K nearest neighbours (KNN) / Support vector Machine (SVM) / Fuzzy c-means
  • Time series basics & Time series data preparation
  • Autoregressive Integrated Moving Average (ARIMA) – used to forecast (predict) and better understand Time Series data
  • Artificial neural network (ANN) – Creating and Hypeparametrizing a neural network