krisadityabcde/statistics-probability

Mastering statistics and probability in Python

Statistics and Probability

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!

Requirements

• Python 3
• Anaconda (Package Management and Deployment for Python and R)

How To

1. Installation
2. Pengumpulan Latihan

Modules

1. Module 1. Descriptive Statistics
   • Measures of Central Tendency (Mean, Median, Mode)
   • Measures of Variability (Range, Variance, Standard Deviation)
   • Percentiles and Quartiles
2. Module 2. Probability
3. Module 3. Random Variables
4. Module 4. Probability Distributions
5. Module 5. Sampling Distributions
6. Module 6. Confidence Intervals
7. Module 7. Hypothesis Testing
8. Module 8. Regression Analysis
9. Module 9. Experimental Design
10. Module 10. Nonparametric Statistics
11. Module 11. Time Series Analysis
12. Module 12. Bayesian Statistics
13. Module 13. Data Visualization
14. Module 14. Statistical Tests for Relationships

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Created by mocatfrio 🐱