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Learner Reviews & Feedback for Databases and SQL for Data Science with Python by IBM

4.7
stars
20,686 ratings

About the Course

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....

Top reviews

BS

May 20, 2020

Amazing course for beginners! The entire course is well structured and has good hands-on assignments. SQL is extremely essential for Database management and fun learning so please do try this one out!

SR

Aug 25, 2022

I am thankful to coursera for providing database and sql for data science course in such a way that anyone can

understand the basic fundamental of sql and database. I learn a lot from this course.

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376 - 400 of 2,852 Reviews for Databases and SQL for Data Science with Python

By Aleksey S

Aug 2, 2021

good introductory course in sql and access to it from python. the course is especially narrowed to db2 and ibm cloud which might be a little intrusive.

By Kimberly D

Feb 24, 2021

A great course. I came into this course with no idea what I'm going to be doing and this course guided and helped me understand each concept very well.

By Zayani M

Oct 23, 2018

I really enjoyed most of this course, but I most liked that the solutions are provided. The explanations and readings were really good in this course.

By James K

Feb 14, 2024

I liked the labs in this module much more than the other modules. I made some pretty cool custom queries and had some fun using the panda dataframes.

By Suman M

Feb 19, 2021

Nice intro into SQL if you have some basic idea in SQL. Working with real datasets is a good exposure to Data Science with standard SQL and IBM Cloud.

By Apurv G

Mar 12, 2020

Very well taught course. I take a lot of learnings from this course. How to login and create a table in IBM cloud and run query against it were good.

By jayesh h

Jul 29, 2019

Awesome Video and in depth of SQL that i don't know as i cleared my basic and advance through this video. Thanking you to guiding me and teaching me.

By Ajeet s

Dec 22, 2018

The Database and SQL for data science are very helpful because in this i have to lean sql and data science with python and hand-on experience IBM Db2

By Devesh V

Jul 17, 2023

Nice course for students who are pursuing data science course in engineering and will also get some topics covered of DBMS, must enroll this course.

By Bahadır S

Jul 5, 2020

Working on the IBM DB2 database was very different. I was impressed with the fact that the courses were particularly practical and assignment-based.

By Xuekun Y

Sep 14, 2019

Good class, good material, The final peer-reviewed project could be better if the system let us to submit our code and automatically grade our code.

By karli s

Jan 16, 2021

I hope this knowledge brings me a fortune in the beginning 2021 to start new job opportunity, Because I learn sql and python language with ibm db2.

By Francisco A

Oct 25, 2019

Great introductory course for non SQL people. It gives insights about the tool, and matches this new knowledge with IBM tools and Python enviroment

By Sun M

Jun 21, 2024

It is a very great lesson which can clearly teach us how to use Python, Sql, R and so on. I extremely recommend that every one learns this course!

By Luis A A

Sep 13, 2021

Very complete and challenging in my particular case module. A great way to learn how to deal SQL commands from IBM platform and Jupyter Notebooks.

By Dr S K

Oct 29, 2018

The course is very good, I had lots of problems accessing the online labs as there is connectivity issues with the development environment though.

By vaishnav. l

Mar 12, 2024

Great course made me to understand many new things about Data analysis and also i hope this course will do a good impact on my career on forward.

By Vitali S

Oct 2, 2024

Very nice course. I can recommend it for everyone who wants to learn SQL in combination with Python to boost up your career as a data engineer.

By A V S R

Jul 26, 2022

It was good experience to gain new knowledge from this data science course with graded assignments. I learned many SQL scenarios in this course.

By Prakash G

Apr 26, 2020

With this course i have learned SQL for the first time, good explanation about the queries and databases.Looking forward to see more challenges.

By Richard K

Mar 22, 2019

Great course interesting for beginners - allows you to slowly be introduced to Data science concepts will tying it to current tools like IBM DB2

By Suyash D

Jul 19, 2018

This is an excellent course for beginners with little or no knowledge of SQL. Besides learning SQL, you will learn how to access it from Python.

By Sascha T

Aug 10, 2022

Gave a sound overview of how to use SQL / python and the practices were challenging. Felt accomplished when I wrote code that finally worked.

By Ágnes T

Jan 3, 2022

I found this course very well built up, covering all the basics of SQL. I would highly recommend the honors module too for advanced techniques.

By Ramon M

May 18, 2020

Great course for learning how to use SQL via Python. The material was a bit dry for my taste but this is epxected for an entry-level SQL course