In this hands-on session, we'll explore the world of probability distributions using Python. From Bernoulli to Gaussian, we'll demonstrate how to apply these distributions to solve real-world problems. Attendees will learn how to use popular Python libraries like NumPy, SciPy, and Matplotlib to visualize and calculate probabilities.
Anaconda/Jupyter Notebook
Throughout the session, I'll provide real-world examples of probability distributions in action, highlighting how they're used in finance, healthcare, and other industries. By the end of the session, attendees will have a solid understanding of how to apply probability distributions using Python and will be equipped with the skills to tackle a wide range of problems. We'll conclude by providing resources for further learning and practice, ensuring that attendees can continue to build on their newfound knowledge.
Elvis Kwabena Asare Nkrumah is a dedicated and passionate data visualization and analytics expert currently pursuing a degree in Computer Science and Statistics at the University of Ghana. His commitment to promoting data literacy and empowering individuals to harness the power of data is evident through his role as a Tableau Academic Ambassador. In this capacity, he actively engages with the data community, advocating for the use of Tableau as a powerful tool for data analysis and visualization. Elvis's professional background includes a significant role as a Research & Grant Intern at the National Society of Black Engineers (NSBE) Ghana. In this position, he contributes to various research initiatives and assists in grant applications, showcasing his ability to apply data-driven insights to real-world challenges. His work reflects a strong commitment to community engagement and the advancement of data science in Ghana.