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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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22,270 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....

3076 - Databases and SQL for Data Science with Python 的 3100 个评论（共 3,225 个）

创建者 jmaritz328

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Oct 26, 2021

Needs to have a lot of work done on the Peer graded assignment department of the course

创建者 Ibrahim A

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Apr 6, 2020

Please review this course assets! especially IBM DB2 cloud service's availability !!!

创建者 Alexander W C

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Jan 15, 2020

The IBM service tutorial was hard to follow. Layout of the application has changed.

创建者 Omolewa O

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Oct 18, 2022

I'm just glad i did Google data analytics program before this if not i'd be lost

创建者 Xinxin Z

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Aug 27, 2019

The cloud system has so many problems which will prevent us to submit our works.

创建者 Alexis G

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Sep 12, 2024

Not clear enough. Could be more intuitive with more guidance in the exercises

创建者 Moon Y

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Jul 24, 2022

Some content are very confusing. Bad experience. Lab is not so good organized

创建者 Mate S

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Oct 16, 2023

the add-ins for practical exercises are a little weird and hard to navigate

创建者 Shuang.W

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May 2, 2020

so many stuff are out of dates and some instructions were very unclear.

创建者 Zuriel Y Y R

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Dec 10, 2024

Shallow, evaliations are not challenging enough, robotic explanations.

创建者 Raeesah

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May 16, 2022

alot of the instruction were not clear especially on week 4 and 5

创建者 Tanner L C

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Nov 15, 2018

Very poorly done. Not enough information on working in the cloud.

创建者 Kishore M

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Oct 11, 2025

Many explainations are skipped. Difficult to learn for beginners

创建者 Aaron

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May 21, 2023

Many more problem sets needed for both Jupyter Notebooks and Db2

创建者 Ria “ T

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Jun 2, 2021

The assisgnment is poorly worded and working in DB2 is a pain

创建者 Oleg S

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Sep 29, 2020

every material in course not match interface of the programs

创建者 Gennaro R

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Jul 13, 2022

With respect to the other courses, this one is super boring

创建者 BOGATHI H K R

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Dec 14, 2023

IT'S NOT PRACTICAL COURSE THAT'S WHY I AM NOT INTRESTED

创建者 Thomas S

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Jun 12, 2022

Partly labs not working, tasks unclear, could be better

创建者黃湙傑

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Jun 13, 2022

IBM DB2 database didn't give me good using experience.

创建者 Ilias K

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Apr 30, 2025

Did not find this any helpful really bad programmed

创建者 Nitika K

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Sep 20, 2020

Not suitable for non computers background students.

创建者 Ray Y

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Jul 15, 2019

WHY FORCE ME USE THE IBM CLOUD? SO COMPLICATED

创建者 abdelkarim b

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Mar 3, 2020

The IBM tools are so unfriendly to new users

创建者 Abhilash L

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Jun 20, 2018

Last few lessons are not clearly explained.

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

课程概述

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3076 - Databases and SQL for Data Science with Python 的 3100 个评论（共 3,225 个）