Back to Databases and SQL for Data Science with Python
Learner Reviews & Feedback for Databases and SQL for Data Science with Python by IBM
21,132 ratings
About the Course
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.
In this course you will learn SQL inside out- from the very basics of Select statements to
advanced concepts like JOINs.
You will:
-write foundational SQL statements like: SELECT, INSERT, UPDATE, and DELETE
-filter result sets, use WHERE, COUNT, DISTINCT, and LIMIT clauses
-differentiate between DML & DDL
-CREATE, ALTER, DROP and load tables
-use string patterns and ranges; ORDER and GROUP result sets, and built-in database functions
-build sub-queries and query data from multiple tables
-access databases as a data scientist using Jupyter notebooks with SQL and Python
-work with advanced concepts like Stored Procedures, Views, ACID Transactions, Inner & Outer JOINs through hands-on labs and projects
You will practice building SQL queries, work with real databases on the Cloud, and use real data science tools.
In the final project you’ll analyze multiple real-world datasets to demonstrate your skills.
Top reviews
BS
May 20, 2020
Amazing course for beginners! The entire course is well structured and has good hands-on assignments. SQL is extremely essential for Database management and fun learning so please do try this one out!
JT
Apr 25, 2023
Great course easy to follow, very good notes, videos and guidance on how to complete the assignments. This is a great introduction course to begin your knowledge and training to be a Data Scientist.
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2926 - 2927 of 2,927 Reviews for Databases and SQL for Data Science with Python
By Louis K
•Jul 12, 2022
Do not work
By G S
•Jan 1, 2024
rubbish!!!