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1. Financial-Data-Management Financial-Data-Management Public

   Data on companies listed on the stock exchanges NASDAQ, NYSE, and AMEX with information on company name, stock symbol, last market capitalization and price, sector or industry group, and IPO year.

   Jupyter Notebook 3 1

2. Marketing-Response-Model Marketing-Response-Model Public

   Almost every company collects digital information as part of their marketing campaigns and uses it to improve their marketing tactics. Data scientists are often tasked with using this information t…

   Jupyter Notebook

3. Python-For-Finance Python-For-Finance Public

   The financial industry is increasingly adopting Python for general-purpose programming and quantitative analysis, ranging from understanding trading dynamics to risk management systems.The fundamen…

   Jupyter Notebook 1 2

4. Statistical-Simulation Statistical-Simulation Public

   Simulation of random variables from discrete, continuous, multivariate distributions and stochastic processes

   Jupyter Notebook 1

5. Statistical-Thinking Statistical-Thinking Public

   After all of the hard work of acquiring data and getting them into a form you can work with, you ultimately want to make clear, succinct conclusions from them. This crucial last step of a data anal…

   Jupyter Notebook

6. Time-Series-Data-Visualization Time-Series-Data-Visualization Public

   Time series data is omnipresent in the field of Data Science. Whether it is analyzing business trends, forecasting company revenue or exploring customer behavior, every data scientist is likely to …

   Jupyter Notebook