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

4.7
22,462 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:

876 - Databases and SQL for Data Science with Python 的 900 个评论(共 3,259 个)

创建者 Tejas D

Aug 19, 2020

Good This Course Will Give You Information About the SQL and Cloud

创建者 Loc L

Aug 16, 2020

Very effective course, meaningful and a lot of practical exercises

创建者 Ravichandra G

Mar 26, 2020

Excellent course to get hands-on experience on Data science basics

创建者 Jeane B B

Jun 4, 2025

Very good for introducing someone starting out with data science!

创建者 ahmad m

Dec 7, 2024

Course is good with a lot of information and practical knowledge.

创建者 Kumar D

Sep 6, 2024

Well designed course. Specifically Graded assignment is wonderful

创建者 TING S K

Nov 9, 2020

Overall, a very good introductory course on relational databases.

创建者 Anand G

Apr 19, 2020

Best hands-on learning content for basics of Sql for data science

创建者 Carlos I M L

Oct 16, 2018

Awesome course with the basics of SQL and real life applications.

创建者 Parth P

Jul 19, 2025

A nice course with very useful labs. Thank you Coursera and IBM!

创建者 Lluc C E

Jun 4, 2025

I liked it, i thought it was informative as well as entertaining

创建者 Renan A A D l c

Oct 23, 2024

good, very databas but no much create view or interfas of python

创建者 Rutukesh v k

Jan 26, 2024

I LIKE THIS COURSE AND I GAIN LOTS OF KNOWLEDGE FROM THIS COURSE

创建者 Sarthak B

Aug 6, 2022

very good content and very very good practice questions and labs

创建者 Sboniso S M

Jul 13, 2022

I recommend this course especially if you love working with data

创建者 Jamer G

Jul 3, 2022

Very good course, I can use all the things given in this course.

创建者 Tiến N M

May 6, 2022

VERY USEFUL FOR BEGINER, A LOT OF KNOWLEADGE NEED TO BE CONSUMED

创建者 Marvelous A

Aug 1, 2020

Very educating with quality lecture videos and labs to work with

创建者 SIMONE C

Apr 18, 2020

Great course, get harder in the end but extremely satisfying! :)

创建者 Abilio R D

Oct 31, 2019

Good course , with good materials, tools and good hands-on labs.

创建者 RICHARD D

Sep 25, 2019

This course had really giving me insight into my future carrier.

创建者 Shubham S

Jun 9, 2019

Totally loved the Jupyter notebook & lots of hands-on practice !

创建者 Thanh N N

Mar 4, 2019

Great course for quick learn. Essential commands in SQL in hand.

创建者 Deleted A

Feb 18, 2019

I enjoyed the course! Now I can do basic configuration on IBM_DB

创建者 Marcelino R

Feb 11, 2025

"Choosing Python means simplifying paths!" - Marcelino Raimundo