In this course, students will explore the essential techniques and tools used in data analytics, with a focus on practical applications in business, science, and technology. The course covers data collection, cleaning, visualization, and statistical analysis, emphasizing Python as the primary tool for analysis. Students will work with real datasets and learn how to transform raw data into actionable insights, enabling data-driven decision-making. By the end of the course, students will have a solid foundation in data analytics and be able to apply their skills to real-world scenarios.