Instructor: Ebelechukwu Nwafor, PhD. This module introduces students to the fundamental concepts of data science, including data collection, cleaning, exploration, and basic analysis. By the end of the module, students will learn about data visualization techniques, and statistical methods essential for understanding and interpreting data. This foundation is designed to equip students with the tools […]

Instructor: Ebelechukwu Nwafor, PhD. This module introduces students to the fundamental concepts of data science, including data collection, cleaning, exploration, and basic analysis. By the end of the module, students will learn about data visualization techniques, and statistical methods essential for understanding and interpreting data. This foundation is designed to equip students with the tools […]

Instructor: Moussa Doumbia, Ph.D. This introductory course will be your guide to learning how to set up the working environment and use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms. In this module, you will be introduced to Python programming skills and the related libraries for accessing from multiple sources. […]

Instructor: Moussa Doumbia, Ph.D. This introductory course will be your guide to learning how to set up the working environment and use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms. In this module, you will be introduced to Python programming skills and the related libraries for accessing from multiple sources. […]

Instructor: Moussa Doumbia, Ph.D. The module builds upon Introduction to Python I. Topics we include: Web scraping with python Use matplotlib and seaborn for data visualizations Use plotly for interactive visualizations

Instructor: Moussa Doumbia, Ph.D. The module builds upon Introduction to Python I. Topics we include: Web scraping with python Use matplotlib and seaborn for data visualizations Use plotly for interactive visualizations

Instructor: Roland Doku, Ph.D. This topic covers the principles and applications of A/B testing, a foundational technique for making data-driven decisions in healthcare, business and various other industries. The session will focus on hypothesis testing, including the formulation of null and alternate hypotheses, and how they apply to experimental design. Attendees will learn about statistical […]

Instructor: Roland Doku, Ph.D. This topic covers the principles and applications of A/B testing, a foundational technique for making data-driven decisions in healthcare, business and various other industries. The session will focus on hypothesis testing, including the formulation of null and alternate hypotheses, and how they apply to experimental design. Attendees will learn about statistical […]

Instructor: Roland Doku, Ph.D. Part II will build on concepts discuss in Part I. We will go through examples of how to conduct an A/B test on a real-world use case, covering all necessary processes from designing the experiment to interpreting the results.  Discuss situations when A/B testing doesn’t work. By the end of the […]