Business Analytics and Data Science with MS Excel This course provides a comprehensive overview of business analytics and data science techniques using Microsoft Excel. Participants will gain insights into the fundamentals of data analysis, statistical methods, and data visualization. The course covers topics such as data cleaning, descriptive statistics, inferential statistics, and predictive analytics. Participants will learn how to leverage Excel's advanced features, including pivot tables, data analysis toolpak, and various functions to analyze and interpret data effectively. Additionally, the course delves into real-world applications, teaching participants how to build dashboards, perform what-if analysis, and use solver for optimization problems. By the end of the course, participants will have a solid understanding of how to use MS Excel for business analytics and data science, enabling them to make data-driven decisions and solve complex business problems.

Who This Course Is For: This course is designed for business professionals, data analysts, managers, and anyone interested in learning how to apply data science and analytics techniques using MS Excel. It is suitable for both beginners and experienced professionals looking to enhance their analytical skills and gain practical knowledge in data-driven decision-making. Whether you work in finance, marketing, operations, or any other field that relies on data analysis, this course equips you with essential tools and techniques to harness the power of MS Excel for business analytics and data science.