Complete SQL Bootcamp for Data Science, Analytics, Marketing
Master SQL for Job Interview Preparation, Data Analysis, Big Data, and Business Intelligence
4.59 (2090 reviews)
14 824
students
1.5 hours
content
May 2025
last update
$54.99
regular price
What you will learn
Understand what a relational database is
How to install SQL on Mac, Linux, or Windows
How to create a table
How to import data into a table
How to query a database table using SQL
How to insert into, update, and delete from a table
Speed things up using indexes
Join tables together to merge data
Aggregate data using count, sum, and average
Determine where in the sales funnel customers are being lost
Chart your year over year revenue
Group and sort sales by location
Use SQL on Spark
Install Spark
Create a Spark cluster on AWS EC2
Course Gallery
Charts
Students
Price
Rating & Reviews
Enrollment Distribution
Comidoc Review
Our Verdict
The Complete SQL Bootcamp for Data Science, Analytics, Marketing course is an excellent starting point for anyone looking to gain a foundational understanding of SQL. While there are areas where improvements can be made, such as installation instructions and the structure of the slides, the overall quality and practicality of the lectures offer great value for both beginners and experienced learners. However, those seeking in-depth explorations of specific topics or tools may need to look elsewhere.
What We Liked
- Concise and sharp lectures that explain SQL concepts clearly
- Practical examples and interview-style exercises to reinforce learning
- Instructor is highly knowledgeable and provides helpful explanations in the Q&A section
- Covers a wide range of SQL topics, including SQL on Spark and Big Data
Potential Drawbacks
- Installation instructions can be unclear for certain operating systems
- Occasionally goes too fast for beginners, lacking detailed explanations of every step
- Spark section could benefit from more detailed explanations and examples
- Course structure/order in the slides might be confusing for some learners
Related Topics
794306
udemy ID
16/03/2016
course created date
03/11/2019
course indexed date
Bot
course submited by