CURRICULUM

Data Science Path: Excel, SQL, Statistics and Python

Data science is not just reading code; it is getting an answer from a table and explaining it. Pick a subcategory and difficulty, ten questions per level, with spaced review. The path covers Excel, SQL, statistics and Python; each subcategory has four difficulties, so data cleaning, querying and modeling are separated.

数据分析 Excel函数/查找/日期，4 个难度。4000 关SQL 数据查询SELECT/JOIN/子查询，4 个难度。4000 关统计概率平均数/方差/概率，4 个难度。4000 关Python 数据处理表达式/列表/字典，4 个难度。4000 关

How it works

  1. Pick Excel, SQL, statistics or Python.
  2. Each has four difficulties.
  3. Ten questions per level; points unlock the next.

FAQ

How many levels?

16 difficulties x 1000 levels = 16000 levels.

Who is it for?

Data analysis, operations, finance and programming basics.