Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.
Financial Data Statistical Analysis
Interactive Visualization with Plotly
Python Object-Oriented Programming
Pandas Time Series Analysis
Accelerating Interpretation Through Data Parallel Processing
Python Package Management with Anaconda
Why You Should Learn Python at This Point 🤔
Where to start with Python data analysis? 🤔
Why study Python for financial analysis ? ❓
Why do we need object-oriented programming ? ❓
Why is parallel processing necessary ? ❓
Why set up a Python analytics environment in Azure ? ❓
If you don't have basic knowledge of Python ❓ 🤔
...
Did you know that Wes McKinney , the creator of the Pandas library essential for data analysis in Python, was a quant working in the financial sector? Stock data is an ideal analysis target for applying complex and diverse analysis techniques and statistical models.
Pairs Trading, which will be implemented in this lecture, defines stock pairs that show similar patterns and uses statistical methodology and machine learning to determine algorithmic investments.
For this reason, learning object-oriented programming in data analysis is an important skill for effective code management and productivity improvement beyond simple function implementation. Once you become familiar with object-oriented grammar, you can quickly understand the code below in a few seconds. The ability to interpret object-oriented grammar is a magic like speed reading in reading .
Using Python
In data analysis
For those who want to get started
Anyone who wants to upgrade their Python skills in an object-oriented way
Anyone who wants to implement algorithmic trading in Python
Who is this course right for?
For those who want to statistically analyze financial data using Python
A data analyst who wants to write tidy (clean) Python scripts by applying object-oriented programming.
Someone who can understand basic programming concepts (e.g., for loop statements) as easily as reading English.
Need to know before starting?
Basic programming literacy (e.g., loop statements)
626
Learners
64
Reviews
74
Answers
4.8
Rating
7
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All
52 lectures ∙ (6hr 3min)
Course Materials:
All
24 reviews
5.0
24 reviews
Reviews 6
∙
Average Rating 5.0
5
Hello. I took the class well. I felt that you prepared a lot and the content was good, so I was satisfied. Part 2 was a lecture that I look forward to. To explain my background, I know how to use Java and Kotlin as programming languages, but this is my first time learning Python. I also know object-oriented programming, but I have almost no knowledge of data analysis or statistics, so I took this course. To be honest, it was a very unfamiliar concept to me, so it felt difficult, and I think I need to go over it a few more times to get used to it. However, I felt the depth throughout the lecture, and if I could eliminate it through repeated learning, I thought it was an incredibly useful lecture. In my case, there were quite a few concepts I didn't know during the lecture (e.g. Python concepts, Jupyter notebook, zscore, etc.), so I searched them separately and studied them. I studied by following the code one by one, but one thing that was disappointing was that there were parts of the code I had learned up to the previous lecture that were slightly different at the beginning of the next lecture, so I was confused when I was following along and learning. However, the explanation was well done and the materials were well organized, so even though I don't know Python, I was able to understand it by reading it line by line. Also, when I had a problem and asked the instructor, he helped me solve it through Google Meet, so I was very grateful. The content itself was a bit difficult for me, but I think it would be much faster and better for those who have some knowledge of Python or data analysis to understand it. I think the content is really good. I think you will make better lectures and I plan to take the second part.
Luca! Thank you so much for your valuable review. When I met Luca at Google Meet, I could already feel that he was a great talent, and he already uses Java and Kotlin! I will reflect the content you mentioned and the slightly different codes in the middle of the lecture during the renewal. This is a valuable review that gave me a lot of room for improvement. I am still a new instructor, so I have a lot of ideas, but I am still struggling to turn my ideas into lectures at my own pace :) I will do my best to create new lectures and update existing ones. Let's run hard in Part 2 as well. Daniel Dream
Reviews 4
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Average Rating 5.0
5
A well-prepared, high-quality lecture. I liked the fresh content that I couldn't find anywhere else. It was easy to follow along because the explanations were step-by-step.
Impact! Thank you. I think that instructors are motivated to continue creating the next lecture by the encouragement of their students. I think you left a review for my previous lecture as well. Thank you so much. Since you were able to follow along without difficulty, I think you are already skilled. When preparing a lecture, I often find a dilemma where the difficulty level increases when I try to make it as realistic as possible. However, I think that people like Impact need a lecture with a level of difficulty. I admit that the lecture is difficult, but I put a lot of effort into making it, so please ask questions at any time during the lecture if you have any difficulties. Fighting! Daniel Dream
Reviews 1
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Average Rating 5.0
5
It's easy to understand because you explained it calmly.
Thank you. If you have any difficulties during the class, please leave a question on the Q&A board at any time. I hope you will complete the course.
Reviews 1
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Average Rating 5.0
5
It's a difficult subject, but it's helpful that you explain it calmly from a beginner's perspective. I plan to listen to it over and over again.
Thank you so much for your kind review.
Reviews 49
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Average Rating 4.9
5
I like it a lot
Thank you. I will try harder to provide better lectures.
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