Finding Signals and Noise through Python Stock Data Collection and Analysis
This is not an investment lecture. It covers data collection, analysis, and visualization using stock market data. You will work with various data formats and learn various text preprocessing techniques. It covers visualization techniques for time-series data, methods for representing scales, and several techniques for interpreting stock price data. This course is about learning how to gain insights through data analysis. It is designed so that the concepts learned through stock price data can be applied to collecting, analyzing, and visualizing other time-series data such as demand, inventory, sales, and traffic volume.
1,457 learners
Level Basic
Course period Unlimited
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hello.
📊Thank you for taking the course Finding Signal and Noise by Collecting and Analyzing Securities Data📈.
We've added quizzes to each chapter so you can check what you've learned.
Quizzes are collected anonymously for grading and can be taken multiple times.
Also, the quiz results may be used to improve the content. They are collected anonymously, so it's okay if you take the quiz multiple times and get it wrong.
As shown in the attached screenshot below, it is organized so that you can solve it at the end of each chapter.
I hope this helps you understand and review the learning content.
Have a nice day! 😊
thank you
You can click within the lecture and solve it as a Google form .
Below is an example problem .
