Data Analytics for Decision Making is designed to empower students and professionals with essential analytical skills to support strategic and data-driven decision-making across various industries. In today’s data-rich environment, the ability to interpret and leverage data is crucial for making informed decisions that drive success. This course offers a comprehensive introduction to data analytics, providing participants with hands-on experience in analyzing data, visualizing trends, and drawing actionable insights. Through a blend of lectures, real-world case studies, and practical exercises, students will gain the foundational knowledge needed to turn raw data into strategic assets.

The course is structured to guide participants through each stage of the data analytics process. In the first few weeks, students learn how to clean and prepare data, ensuring that data is accurate and reliable for analysis. The next module delves into statistical techniques for analyzing and interpreting data, allowing students to uncover patterns and make sense of complex datasets. As the course progresses, students explore data visualization methods to effectively communicate insights, followed by an introduction to predictive modeling, equipping them with the skills to forecast trends and make proactive business decisions.

This course is ideal for professionals, students, and managers looking to enhance their data literacy and analytical capabilities, regardless of their current industry. Participants will leave the course with practical skills applicable to a variety of business and organizational contexts, along with the confidence to apply data-driven approaches in their roles.