Data Science with Python
Analyze data, build models, and make predictions
Comprehensive data science course covering Python, pandas, NumPy, scikit-learn, and machine learning algorithms.
Course Content
Python for Data Science
Python Basics
Review Python fundamentals for data science.
NumPy Arrays
Work with NumPy for numerical computing.
Data Manipulation
Pandas DataFrames
Manipulate data with pandas DataFrames.
Data Cleaning
Clean and preprocess messy datasets.
Statistical Analysis
Descriptive Statistics
Calculate and interpret statistical measures.
Machine Learning
Linear Regression
Build and evaluate linear regression models.
Classification Models
Implement classification algorithms.
Data Visualization
Matplotlib & Seaborn
Create compelling data visualizations.
Quiz
1. What is the primary purpose of pandas?
- Web development
- Data manipulation and analysis✓ Correct
- Machine learning
- Database management
Perguntas Frequentes
How long does it take to complete?
The typical completion time varies based on your pace and dedication.
Is this course suitable for beginners?
This course is designed for students of all levels.
Are there any prerequisites?
No special prerequisites are required to start learning.
Can I learn at my own pace?
Yes, most courses allow self-paced learning.
Tem mais perguntas? Visite fastmdm.com para obter informações adicionais.
Você também pode gostar
Auditoria
Mais →как приготовить куриное филе, чтобы оно не было сухим
как приготовить куриное филе, чтобы оно не было сухим
Сильно шумит компьютер.
Сильно шумит компьютер.
My computer is running very slowly
My computer is running very slowly
Próximos Eventos
Mais →
AI & Machine Learning Conference
Daniel Clark
Cutting-edge conference on artificial intelligence, machine learning, and their real-world applications.
Health & Wellness Expo
Daniel Clark
Comprehensive expo featuring the latest in health, fitness, and wellness products and services.
Cybersecurity Summit
Daniel Clark
Comprehensive summit covering the latest threats, defense strategies, and industry best practices.