Python for Data Science

Learn to harness the power of Python for data analysis, visualization, and machine learning. Develop practical skills with pandas, NumPy, Matplotlib, and scikit-learn to extract insights from data and build predictive models.

0 Students

0 Lectures

Faisal Obeid

Instructor

What Will You Learn?

NumPy fundamentals

Pandas for data manipulation

Data visualization techniques

Statistical analysis basics

Machine learning introduction

Data cleaning methods

Feature engineering

Model evaluation

Real-world datasets

Project workflow

About This Course

This comprehensive course will equip you with the Python programming skills and data science tools needed to analyze complex datasets and extract meaningful insights. You'll learn how to manipulate data, create visualizations, and build machine learning models using Python's powerful libraries.

Starting with Python fundamentals, you'll progress to data manipulation with pandas, numerical computing with NumPy, data visualization with Matplotlib and Seaborn, and machine learning with scikit-learn. You'll work with real-world datasets to solve practical problems and develop a portfolio of data science projects.

By the end of the course, you'll have the skills to perform exploratory data analysis, create compelling visualizations, and implement machine learning algorithms. Whether you're looking to start a career in data science or enhance your current role with data analysis skills, this course provides the foundation you need to succeed.