Overview
This skill path guides learners from SQL basics to advanced techniques like CTEs, subqueries, and window functions. It equips beginners with the skills to tackle real-world data challenges, optimize queries, and derive meaningful insights with confidence.
Skill path
1
MasterclassFundamentals of Data Wrangling using SQL
e-commerce
data-wrangling
sql
03h
2
MasterclassSQL Data Wrangling
e-commerce
data-wrangling
sql
03h
3
ScenarioSQL Data Wrangling-Data Sorting Hands On
e-commerce
data-wrangling
sql
01h
4
ScenarioSQL Data Wrangling Intermediate Merging Data Hands On
e-commerce
data-wrangling
sql
01h
5
ScenarioSQL Data Wrangling-Intermediate-Sub-Querying Data Hands-On
e-commerce
data-wrangling
sql
01h
6
ScenarioSQL Data Wrangling- Hands On
e-commerce
data-wrangling
sql
01h
7
MasterclassRelational Data Modelling
e-commerce
data-modelling
sql
01h
8
ScenarioWindow Functions in SQL
e-commerce
approach
data-wrangling
sql
01h
9
ScenarioSales Performance by State & Region
e-commerce
data-wrangling
sql
30m
10
ScenarioCustomer Loyalty Report
e-commerce
approach
data-wrangling
quality
sql
01h
11
ScenarioIdentifying High-Performing States in Sales at GlobalMart
e-commerce
data-wrangling
sql
30m
12
ScenarioPivot & Unpivot Data in SQL
e-commerce
data-wrangling
sql
45m
13
ScenarioRanking Top Cities by Sales in Each State for GlobalMart
e-commerce
data-wrangling
sql
01h
14
ScenarioMarket Basket Analysis using SQL
e-commerce
data-wrangling
sql
01h 30m