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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
22,453 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

SR

Aug 25, 2022

I am thankful to coursera for providing database and sql for data science course in such a way that anyone canunderstand the basic fundamental of sql and database. I learn a lot from this course.

NA

Mar 24, 2025

It was a wonderful and joyful learning from the starting to end, i also enjoyed while solving the quries on the hands on. I strongly suggest this course for any beginer who wants to learn SQL.

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3251 - Databases and SQL for Data Science with Python 的 3258 个评论(共 3,258 个)

创建者 PRATIKSHA C

Jun 24, 2020

need 100x improvement

创建者 Tena P .

Oct 17, 2023

please verfy my id

创建者 Emilia A

Nov 25, 2022

Incredibly boring

创建者 Himanshu P

Nov 3, 2019

BAD GATEWAY 502

创建者 Jean-Yves R

Oct 29, 2021

Really bad.

创建者 Louis K

Jul 12, 2022

Do not work

创建者 G S

Jan 1, 2024

rubbish!!!

创建者 Neel P

Nov 21, 2025

very bad