STA 101
Statistics 1
Descriptive statistics, visualisation, basic probability and the foundations of data analysis.
Hi, I'm Chiranjeevi.A student portfolio for the data-driven semester.
I'm Chiranjeevi, a student in the Online Degree Programme. This site is a small window into the work I'm doing this term — the courses I'm taking, the projects I'm proud of, and — most importantly — the data I'm learning to read honestly.
About me — Chiranjeevi
I'm currently a student in the Online Degree Programme, with a strong interest in statistics, data analysis and cricket. I find that sports datasets are a fun, easy-to-relate-to way to practise the techniques taught in class — the numbers tell real stories, and the rows are people you've watched on TV.
A requirement of the Statistics 2 course is to build a small web presence and use it to publish a real dataset, describe its rows and columns in plain language, and share an observation drawn from the numbers. That activity lives on the Data Insights page — and the course itself is summarised on the Statistics 2 page.
Current coursework
STA 201
Statistics 2
Inference, hypothesis testing, regression and ANOVA — drawing conclusions from real data.
MAT 110
Linear Algebra
Vectors, matrices, eigenvalues and the mathematical language used throughout quantitative work.
CSC 105
Programming for Data
Python, pandas and reproducible notebooks for data work.