Introduction
  • Introduction
Fundamentals of Data Science
  • Anaconda and Jupyter Notebooks
  • Install Anaconda and run a Jupyter Notebook
  • Linear Algebra and Statistics
Working with Data
  • Processing Data
  • Getting Data
  • Quiz on Data
Data Science Methods
  • Classification and Supervised Learning
  • Clustering and Unsupervised Learning
  • Neural Networks
  • Dimensionality Reduction
Visualizing Data
  • Visualization in Python
What's next after this course?
  • Build a Data Science Career