Day 2 - “O Data, All Ye Faithful”
The primary objectives of this challenge were :
- What data science involves and how it can be applied in Cybersecurity
- Introduction to Python
- Python libraries such as Pandas and Matplotlib to crunch data
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The use of data science is increasing in cybersecurity due to its ability to offer insights. Analysing data, such as log events, leads to an intelligent understanding of ongoing events within an organisation. It is used in SIEM, threat trend analysis and predictive analysis.
Jupyter Notebooks are open-source documents containing code, text, and terminal functionality. They are popular in the data science and education communities because they can be easily shared and executed across systems. Additionally, Jupyter Notebooks are a great way to demonstrate and explain proof of concepts in Cybersecurity.
Pandas is a python library used for data manipulation and analysis, It provides data structures like DataFrames, which are efficient for handling and analyzing structured data whereas, Matplotlib is a python library used for plotting high-quality static, animated, and interactive visualizations, It provides a wide variety of charts and plots, including line plots, scatter plots, bar plots, histograms, pie charts, and more.
Here is the walkthrough of Day 2.
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