Objectives of the Course:

Decision-Making: To empower students with the ability to harness data for making informed decisions in various business contexts, enabling organizations to improve efficiency and competitiveness. Predictive and Prescriptive Analytics: To equip participants with the skills to build predictive models and recommend actionable strategies, allowing companies to anticipate trends, optimize processes, and drive growth. Business Communication: To enhance students' ability to effectively communicate data-driven insights to non-technical stakeholders through data visualization and storytelling techniques, ensuring that analytics findings lead to actionable outcomes within organizations. Who should do the course Data Analysts: Individuals looking to start a career in data analysis and gain expertise in using data for decision-making. IT and Data Professionals: IT professionals, database administrators, and data engineers interested in transitioning to data analytics roles. Entrepreneurs: Business owners seeking to leverage data insights to improve their operations, marketing, and overall business strategies. Career Changers: Individuals from diverse backgrounds aiming to switch careers and enter the rapidly growing field of data analytics. Business Professionals: Managers, executives, and professionals across various industries who want to enhance their analytical skills to drive better business outcomes.