Get an overview of this learning journey, crafted to give you practical exposure and a strong foundation in the subject.
The AI-Powered Python Data Science Foundations track is designed to help beginners build a strong foundation in data science using Python. Through hands-on practice, you’ll learn how to write Python programs, work with data structures, and leverage powerful libraries like NumPy and Pandas for numerical computing and data handling. You’ll explore data cleaning, preparation, and exploratory data analysis (EDA) to uncover insights from raw datasets.
The track also emphasizes data visualization and storytelling, where you’ll create impactful charts and interactive plots using Matplotlib, Seaborn, and Plotly. Each stage includes milestone projects and assessments to reinforce learning, and the journey culminates in a capstone project, where you’ll apply Python, NumPy, Pandas, and visualization tools to analyze a real dataset.
With AI-powered Jupyter Lab demos supporting your learning, this track provides 78–92 hours of structured training through courses, projects, and practical applications—ensuring you gain job-ready skills in Python-based data science.
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