To-do:

System installations

Self-learning:

Python：

《Introduction to Python》DONE

Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with NumPy.

《Intermediate Python》DONE

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

《Introduction to Data Science in Python》

Dive into data science using Python and learn how to effectively analyze and visualize your data.

《Introduction to Importing Data in Python》

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

《Statistical Thinking in Python (Part 1)》

Build the foundation you need to think statistically and to speak the language of your data.

《Writing Efficient Python Code》

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

---

Git

AWS EC2 RDS

How to schedule ETL in EC2 instance

《Machine Learning for Everyone》An introduction to machine learning with no coding involved.

《Machine Learning for Business》Understand the fundamentals of Machine Learning and how it's applied in the business world.

Prestudy:

Plotly to plot stock candle stick, as well as VWAP.

What is VWAP? Why it is important? How to estimate?

Normal distribution, Chi-square distribution, central limit theorem.

normalization/standardization

Correlation Analysis & Canonical Correlation Analysis