Datascience course

A Data Science course provides foundational and advanced knowledge on extracting insights from large datasets to solve real-world problems. The curriculum covers key topics such as statistics, probability, data wrangling, exploratory data analysis (EDA), and machine learning algorithms. Students learn to work with programming languages like Python and R, along with tools like Pandas, NumPy, Matplotlib, and TensorFlow for data manipulation, analysis, and visualization. The course also explores areas like big data, data mining, deep learning, and artificial intelligence. Through hands-on projects and case studies, learners gain practical skills in building models and making data-driven decisions. Ideal for beginners and professionals, this course prepares students for roles like data scientist, data analyst, or machine learning engineer.