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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.

(4.8) 110 reviews

1,457 learners

Level Basic

Course period Unlimited

Python
Python
Plotly
Plotly
Pandas
Pandas
Numpy
Numpy
Seaborn
Seaborn
Python
Python
Plotly
Plotly
Pandas
Pandas
Numpy
Numpy
Seaborn
Seaborn

$69.30