
UdemyBuilt from in-person SQL classes taught in New York City, this bootcamp introduces SQL for analytics to people who have never programmed before. It's structured around real feedback from bootcamp students, moving from why SQL matters as a step up from Excel through to writing queries, filtering with search conditions, and organizing results — using New York City data throughout the exercises.
Ideal for complete beginners coming from an Excel-heavy analytics background who want a practical bridge into SQL, rather than a purely academic introduction.
SQL 101 Bootcamp is build up based on the SQL classes for Analytics taken in NYC, New York by Shivgan Joshi. Having taught at various bootcamps in NYC and gathering feedback from students this course addresses all the major topics you need to get started for Analytics in SQL if you have never programmed.
This course will help you answer and critically think and implement:
Create a DB design for your day to day work data that you use in Excel
Understand what you can do and what you cannot do. Or rather how hard or simple it is to do some analytical steps in SQL.
Understand Data Wrangling using Group, Joins and UNION to get data in the format you need
For any data that comes to you new tools get new insights
Get Excel equivalent functions for SQL commands
Understand the data wrangling terms often used in Data Analytics that remain common to all languages (Python / R / SQL)
Other areas that will be introduced to are:
Understand why SQL is needed as a solution to limitation of excel
Connect to the SQL Server database and execute a simple query.
Include a search condition in a simple query.
Use various functions to perform calculations on data.
Organize data obtained from a query before it is displayed on-screen.
Use New York City data for running on SQL
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