Chevron Left
返回到 Databases and SQL for Data Science with Python

学生对 IBM 提供的 Databases and SQL for Data Science with Python 的评价和反馈

4.7
22,466 个评分

课程概述

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....

热门审阅

MM

Oct 6, 2023

This course was an Excellent, Interesting, and knowledgeful game for me. I have been excited to lean SQL and Databases and finally IBM and Coursera let my dream come true. Thanks both of them!

AZ

Feb 11, 2025

Very intriguing first exposure to SQL for CS students! Loved the integration with Python. It was a bit hard to actually learn SQL from this exclusively, so using outside resources will be helpful.

筛选依据:

901 - Databases and SQL for Data Science with Python 的 925 个评论(共 3,259 个)

创建者 Mohammed B

Oct 24, 2024

very good course to enroll, i hope in future add trigger clause

创建者 Truong T D

May 24, 2023

Thanks for everything I learned, this course helped me so much.

创建者 Adeyemi O O

Apr 19, 2020

The course was well paced. The content was useful and engaging.

创建者 Dhruv S

Mar 25, 2020

Hey thank you so much for this great course! Really enjoyed it!

创建者 Deleted A

Mar 5, 2020

I really enjoyed learning this course.

Thank You IBM & Coursera.

创建者 Aditi T

Feb 25, 2020

Good Course! I learnt a lot. It was easy to understand as well.

创建者 Ssentumbwe E

Mar 26, 2019

It was awesome, the material is so easy to use. Really awesome.

创建者 Geleene T

Aug 20, 2018

very fun! and it's easy to study with those modules provided :)

创建者 Tanu R

Mar 4, 2023

This course gives you great knowledge about SQL and databases.

创建者 Rodrigo A S

Aug 19, 2022

Excellent for begginres i really learn a lot with this course.

创建者 DANILO N V

Aug 3, 2021

Especially for me as an Sql lover, this course was was tasty.

创建者 Osvaldo O

Dec 6, 2020

Very useful. A couple links outdated, but no big deal. Thanks.

创建者 Attlee M G

Jan 25, 2020

What a practical approach of learning, this was a rich course.

创建者 18-5J4 D

Jan 19, 2020

it's good courses working on a real world database is awesome

创建者 sachin J

Jan 6, 2020

Excellent course for anyone who wants to get the basics of SQL

创建者 Ching J N

Dec 7, 2019

Pretty in-depth tutorial on SQL and easy to comprehend as well

创建者 Javier A B

Sep 21, 2019

Excellent course. It provides all the basics to work with SQL

创建者 Pawan

Aug 17, 2019

exercise are good and really great for understanding concepts.

创建者 Chris G

Jan 15, 2019

Provided excellent real-world examples for SQL query practice.

创建者 A. A

Dec 27, 2018

Great course and amazing usage of visuels to convey knowledge.

创建者 Khatri P

Sep 2, 2025

its was amazing experience ,i loved to thanks ibm and faculty

创建者 SERGIO D S

Apr 17, 2024

Really helpful to start with SQL and combine it with Python!!

创建者 Nagaraj V

Feb 25, 2024

Very good coverage of subject. Videos are a bit short, but OK

创建者 Ahmad H

Aug 29, 2023

Excellent course, great learning journey with coursera & IBM

创建者 Janja

Feb 27, 2022

SQL very clearly explained, guided by well defined exercises.