This page is a collection of everything I am learning or have learned in the field of Data Science. I created it to keep track of my progress and hope these notes can help others on their data journey.

SQL (Structured Query Language)

I learned SQL to efficiently manage and analyze data from databases, as it’s essential for data manipulation and querying in data science

Database Fundamentals

I learned database basics to understand how data is structured, stored, and accessed, which is crucial for efficiently working with large datasets in data science.

Statistics

I learned the fundamentals of statistics to analyze data, interpret trends, and make data-driven decisions. Understanding descriptive and inferential statistics is crucial for extracting meaningful insights from datasets in data science.

Hypothesis & A/B Testing

I learned the fundamentals of hypothesis testing to validate assumptions, compare variations, and make data-driven decisions. Understanding statistical significance, p-values, and confidence intervals is crucial for drawing reliable insights and optimizing outcomes in experiments and A/B testing.