Zainab Khanam
Master probability concepts like combinatorics, random variables, and Markov processes, essential for fields like data science and finance.
Get started with R programming, a popular statistical language, perfect for data analysis and foundational coding skills in math.
Understand how to communicate complex data with visual tools. This is key for anyone involved in data analysis or reporting.
Learn real-world calculus applications in medicine, biology, and social sciences for a practical take on theoretical math.
This foundational course in algorithms, logic, and problem-solving strengthens mathematical thinking—useful for both programming and math.
Delve into advanced concepts like principal component analysis and machine learning, ideal for those aiming to specialise in data science.
Gain a solid grounding in statistics with R programming, covering essential topics like hypothesis testing and regression.