- Learn how to write SELECT ๐ค๐ฐ๐ญ๐ถ๐ฎ๐ฏ(๐ด) FROM ๐ต๐ข๐ฃ๐ญ๐ฆ
- Combine with other keywords: WHERE, ORDER BY & LIMIT
- Learn how to use arithmetic operators in SELECT statement
- Retrieve unique values with DISTINCT keyword
- Learn the four basic JOINS (INNER JOIN, FULL OUTER JOIN, LEFT JOIN, RIGHT JOIN)
- Study the Venn Diagrams behind each type of JOIN
- Understand relationship types (one-to-one, one-to-many, many-to-many)
- JOIN multiple tables
- Learn how to use CASE-WHEN statement
- Common Table Expressions (CTEs)
- Write subqueries in SELECT, WHERE & FROM clauses to retrieve data based on condition or calculation
- Write subqueries in tandem with Aggregate Fn
The concepts in the above roadmap will be enough #SQL knowledge required for most entry-level data analyst reporting positions. More SQL knowledge would be required for an entry-level database developer or data engineer role
Ridge Regression (RR) is regularization technique used in statistical modeling & ML to handle the problem of multicollinearity (high correlation) among predictor variables
It is an extension of linear regression ( LR) that adds a penalty term to the least squares objective function, resulting in a more stable and robust model.
Polynomial regression is type of regression analysis where relationship between independent variable(s) and dependent variable is modeled as an nth-degree polynomial function.
It is an extension of simple linear regression which assumes linear relationship between the variable
In polynomial regression, the polynomial function takes the form: