Datascience

A Data Science course provides a comprehensive foundation in techniques used to analyze, interpret, and derive actionable insights from complex datasets. The curriculum covers key areas such as statistical analysis, data visualization, machine learning, big data technologies, and data wrangling. Students learn programming languages like Python, R, and SQL, as well as tools such as Pandas, Matplotlib, TensorFlow, and Tableau. The course emphasizes real-world applications, including predictive modeling, data mining, and AI integration, through hands-on projects and case studies. Designed for both beginners and professionals, this course prepares learners for roles like data scientist, data analyst, or machine learning engineer.