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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

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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

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.

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!

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2176 - Databases and SQL for Data Science with Python 的 2200 个评论（共 3,259 个）

创建者 AYUSH Y

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Oct 24, 2024

good

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Oct 19, 2024

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Oct 14, 2024

good

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Oct 11, 2024

nice

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Oct 5, 2024

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Sep 30, 2024

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Sep 28, 2024

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Sep 3, 2024

Good

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Aug 21, 2024

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Aug 20, 2024

nice

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Jun 19, 2024

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Jun 7, 2024

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Jun 6, 2024

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May 30, 2024

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May 29, 2024

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May 28, 2024

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May 26, 2024

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Feb 24, 2024

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Jan 8, 2024

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