Learn Data Science from scratch and gain the skills to analyze and interpret complex data! This beginner-friendly course covers data collection, cleaning, analysis, visualization, and basic machine learning using tools like Python, Pandas, NumPy, Matplotlib, and scikit-learn
Through hands-on exercises and real-world projects, you will develop the ability to extract insights, make data-driven decisions, and solve problems effectively. Perfect for students, professionals, or anyone looking to start a career in Data Science or enhance analytical skills.
Basic computer and internet skills
Interest in data analysis and problem-solving
Optional: Basic knowledge of mathematics and statistics
Recommended tools: Python, Jupyter Notebook, or Google Colab
Staff Member #1 – Dr. Ananya Rao (Lead Instructor)
Bio: A data scientist with 7+ years of experience in Python, machine learning, and data visualization. Passionate about teaching beginners and making complex data concepts easy to understand.
Staff Member #2 – Rohan Kapoor (Teaching Assistant)
Bio: Skilled in Python, Pandas, and ML model building. Assists students with hands-on exercises, practical examples, and project implementation.
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No. The course starts from basics and is beginner-friendly.
Yes. The course includes practical exercises with real-world datasets.
Yes. It provides foundational skills to pursue roles like Data Scientist, Data Analyst, or ML Engineer.