In-House Courses

This course will introduce you to the concept of decision-making under uncertainty, which is the process of choosing among alternatives when there is incomplete or imperfect information about the outcomes and consequences of each option. You will learn about the tools and techniques of data analysis and statistics that can help you quantify and reduce […]

This course will introduce you to the concept and process of data visualization and exploratory data analysis (EDA), which are essential steps for understanding, exploring, and communicating data. You will learn how to use the R programming language and the ggplot2 package to create effective and attractive visualizations for different types of data. You will

This course will introduce you to the concept and applications of probability theory, which is the mathematical foundation of statistical inference and data science. You will learn how to use probability theory to model and measure uncertainty, evaluate risks and rewards, and make evidence-based decisions. You will also learn how to use R, a popular

This course will introduce you to the concept and practice of data science for business, which is the application of data analysis and visualization techniques to solve business problems and communicate data-driven insights. You will learn how to use data science tools and methods, such as R, ggplot2, linear regression, and machine learning, to explore,

This course will introduce you to the concept and practice of data analysis for leaders, which is the application of data analysis and visualization techniques to solve business problems and communicate data-driven insights. You will learn how to use data analysis tools and methods, such as Excel, Power BI, R, and Python, to explore, analyze,

This course will introduce you to the concept and practice of data analysis for project managers, which is the application of data analysis and visualization techniques to plan, monitor, and evaluate projects. You will learn how to use data analysis tools and methods, such as Excel, Power BI, R, and Python, to collect, clean, explore,

This course will introduce you to the concept and practice of data analysis for policymakers, which is the application of data analysis and visualization techniques to inform and evaluate policies. You will learn how to use data analysis tools and methods, such as R, ggplot2, Excel, and Power BI, to collect, clean, explore, and interpret

This course will introduce you to the concept and practice of data analysis for entrepreneurs, which is the application of data analysis and visualization techniques to start, grow, and scale your business. You will learn how to use data analysis tools and methods, such as Excel, Power BI, R, and Python, to collect, clean, explore,

This course aims to help professionals develop and enhance their MS Excel skills, which are essential for working with various types of data and performing various tasks. The course will cover topics such as: