Python for Data Science: Your Career Accelerator

What you’ll learn

• Learn the basics of Python, including data types, variables, loops, conditionals, and string manipulation.
• Gain hands-on experience with essential libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization.
• Learn to clean, transform, and preprocess datasets for analysis, preparing them for real-world data science tasks.
• Understand the concepts of object-oriented programming (OOP) and apply them to structure Python code efficiently.
• By the end of the course, students will have completed a data science capstone project, where they will collect, analyze, and present insights from a real-world