This course consists of three parts:
1. This course will focus on using Python for data analysis:
i. Introducing essential Python libraries: Numpy, Pandas, Scikit-learn, and Matplotlib.
ii. Introducing manipulating, processing, cleaning, and crunching data in Pandas. We will also discuss using Pandas for time series data analysis, such as financial data.
2. We will introduce using Scikit-learn and TensorFlow for supervised learning and unsupervised learning.
i. supervised learning: linear regression, logistic regression, decision trees,
unsupervised learning: K-means.

3. We will introduce the concept of data in the real world that arrives incrementally
and real-time data handling (for financial data)
i. vectorized backtesting
ii. working with real-time data