Welcome to the course on 'Using Data and Analytics in Decision Making'. In today's fast-paced and ever-changing business environment, leaders are constantly faced with making crucial decisions that can have a significant impact on their organizations. This course is designed to provide you with the knowledge and skills necessary to leverage the power of data and analytics in your decision-making process, ultimately leading to more informed and effective leadership.
The course will begin with an introduction to the importance of data and analytics in leadership, exploring the link between data-driven decision making and strategic leadership. You will gain an understanding of the different types of data, including quantitative and qualitative, and be introduced to various analytics techniques such as descriptive, predictive, and prescriptive. Additionally, you will learn about the role of data and analytics in the decision-making process, and the methods of data collection and management, including data quality, governance, and privacy. The course will also cover the steps in data-driven decision making, and provide case studies of successful data-driven decisions in leadership, as well as the challenges and how to overcome them. Furthermore, you will gain an overview of data analytics tools such as Excel, SQL, Python, R, and Tableau, and learn how to choose the right tool for your leadership style and organizational needs. The course will also explore the role of leaders in promoting a data-driven culture, and provide insights into the ethical considerations in data-driven decision making, as well as the future of data-driven leadership and the emerging trends in data and analytics, and the impact of these trends on leadership and decision making. By the end of this course, you will be equipped with the skills and competencies necessary to become a successful data-driven leader.