This comprehensive 10-hour Data Science course by Edureka is designed for beginners who want to quickly learn the fundamentals of Data Science and gain practical skills. The course begins with Python programming basics and essential libraries such as Pandas, NumPy, Matplotlib, and Seaborn, allowing learners to manipulate, analyze, and visualize data efficiently.

Students explore core statistical concepts and probability to understand datasets and make data-driven decisions. The course emphasizes hands-on exercises, where learners work with real-world datasets, clean and transform data, and create insightful visualizations.

The program introduces basic machine learning techniques including supervised learning (regression and classification) and unsupervised learning (clustering and dimensionality reduction). Real-world examples show how these methods solve business and research problems.

By the end of the course, participants will have practical experience in Python-based data analysis, visualization, and basic machine learning, preparing them to work on real-world projects. This course is ideal for students, beginners, and professionals seeking a structured, hands-on introduction to Data Science and a strong foundation for a future career in analytics or AI.