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Data Science with Python
Analyze data, build models, and make predictions
2/1/2024•1 min read•Updated 3 months ago•
★4.7
•12850 views•Intermediate•80 hours3,940 views80 readers today10 shares
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
Frequently Asked Questions
Is there a certificate upon completion?
Certificate availability depends on the course provider.
Can I learn at my own pace?
Yes, most courses allow self-paced learning.
How long does it take to complete?
The typical completion time varies based on your pace and dedication.
What will I learn from this course?
You will gain comprehensive knowledge in Data Science with Python.
Is this course suitable for beginners?
This course is designed for students of all levels.
Have more questions? Visit vronskiy.com for additional information.
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