I contemplated that I need to learn and re-learn statistics again because after more than one year in workplace, I felt that I do not use much my statistics knowledge. I only use basic statistics like descriptive statistics and exploratory data analysis. However, for pointing in inference statistics, I do not yet use it to support impactful decision making for business. The fact is that I learn so much in computer science side like database and programming but I do not upgrade knowledge in statistics.

In college, I learn classical statistical inference which use MLE to estimate parameters. I get much more interested in Bayesian inference which I do not learn before. For calculation, I can use tools like STAN. I also found out nice statistical open-source tools named JASP.

These source of learning like this can be very useful.

- Intro Stats
- Bayesian Statistics: Why and How?
- Learn Bayes
- Video: Introduction to Bayesian Data Analysis
- Why is Bayes Theorem important?
- What are the advantages of Bayesian methods over frequentist methods in web data?

I also have a hope to upgrade my knowledge by pursuing master’s degree in statistics. That’s why I need to have strong foundation of statistics like calculus, linear algebra and probability theory.