Statistics and Probability in Information Technology focuses on using data analysis, probability models, and hypothesis testing to make informed decisions and solve problems related to technology and digital systems.
This knowledge is crucial for tasks such as data analysis, machine learning, network security, and system optimization. Understanding statistics and probability in the context of information technology empowers IT professionals to make data-driven decisions and develop efficient solutions in a rapidly evolving technological landscape.
Let's learn statistics and probability!
- Python 3
- Anaconda (Package Management and Deployment for Python and R)
- Module 1. Descriptive Statistics
- Data Presentation
- Measures of Central Tendency (Mean, Median, Mode)
- Measures of Variability (Range, Variance, Standard Deviation)
- Module 2. Random Variable and Probability Distribution
Created by mocatfrio 🐱