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Data Science with Python

Analyze data, build models, and make predictions

4.7
12850 viewsIntermediate80 hoursPublished: 2/1/2024
1535

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

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