Data Science with Python

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.

Frequently Asked Questions

What will I learn from this course?

You will gain comprehensive knowledge in Data Science with Python.

How long does it take to complete?

The typical completion time varies based on your pace and dedication.

Where can I access this course?

This course is available exclusively on kb.pub.

Can I learn at my own pace?

Yes, most courses allow self-paced learning.

Have more questions? Visit kb.pub for additional information.

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