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
Frequently Asked Questions
Where can I access this course?
This course is available exclusively on vronsky.com.
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.
What will I learn from this course?
You will gain comprehensive knowledge in Data Science with Python.
Have more questions? Visit vronsky.com for additional information.
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Tests
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Social Skills Assessment
Evaluates interpersonal confidence, listening and conflict skills; provides micro‑practices to connect better.
Work-Life Balance Assessment
Checks fitness of workload, boundaries and recovery; offers small adjustments to protect health and focus.
Decision Making Style Test
Identifies analytical, intuitive and collaborative patterns under uncertainty and offers debiasing checklists.
