Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data Scientists, Data Analysts and Data Engineers. Much of the world's data resides in databases. SQL is a powerful language used for communicating with and extracting data from databases.

About this Course
No prior knowledge of databases, SQL, Python, or programming is required. Suitable for anyone who wants to gain key skillsin Data Science/Analytics.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Analyze data within a database using SQL and Python.
Create a relational database on Cloud and work with tables.
Write SQL statements including SELECT, INSERT, UPDATE, and DELETE.
Build more powerful queries with advanced SQL techniques like views, transactions, stored procedures and joins.
Skills you will gain
- Cloud Databases
- Python Programming
- Jupyter notebooks
- Relational Database Management System (RDBMS)
- SQL
No prior knowledge of databases, SQL, Python, or programming is required. Suitable for anyone who wants to gain key skillsin Data Science/Analytics.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Start working towards your Bachelor's degree
Syllabus - What you will learn from this course
Getting Started with SQL
Introduction to Relational Databases and Tables
Intermediate SQL
Accessing Databases using Python
Reviews
- 5 stars74.93%
- 4 stars18.48%
- 3 stars3.99%
- 2 stars1.15%
- 1 star1.43%
TOP REVIEWS FROM DATABASES AND SQL FOR DATA SCIENCE WITH PYTHON
One of the best course I completed on Coursera. All the learning material is well organised and easy to understand. Also the non-graded sections regarding relational databases are interesting.
Overall is a nice course. It was a bit confused because Handson Lab related to each other. It would be nicer to have a short remind from previous labs or better to keep labs independently.
Course is god enough. However the last assessment is not. Misprints and not clear questions lead to disappointing marks in the end. Also other students marked assessments based on their understanding.
The course served as a good SQL refresher and I love the that I get to run all the exercise and assignment on IBM cloud. That really saved me a lot of stress. Good foundational course overall.
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