Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.
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IBM Skills NetworkAbout this Course
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Beginner Level
Approx. 37 hours to complete
English
Subtitles: English, Arabic, Persian
What you will learn
Analyze data within a database using SQL and Python.
Create a relational database on Cloud and work with tables.
Compare and contrast DDL to DML.
Write SQL statements including SELECT, INSERT, UPDATE, and DELETE.
Skills you will gain
- Cloud Databases
- Python Programming
- Ipython
- Relational Database Management System (RDBMS)
- SQL
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level
Approx. 37 hours to complete
English
Subtitles: English, Arabic, Persian
Offered by
IBM Skills Network
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
Syllabus - What you will learn from this course
2 hours to complete
Getting Started with SQL
In this module, you will be introduced to databases. You will create a database instance on the cloud. You will learn some of the basic SQL statements. You will also write and practice basic SQL hands-on on a live database.
2 hours to complete
6 videos (Total 19 min), 2 readings, 5 quizzes
5 hours to complete
Introduction to Relational Databases and Tables
In this module, you will explore the fundamental concepts behind databases, tables, and the relationships between them. You will then create an instance of a database, discover SQL statements that allow you to create and manipulate tables, and then practice them on your own live database.
5 hours to complete
5 videos (Total 22 min), 1 reading, 5 quizzes
7 hours to complete
Intermediate SQL
In this module, you will learn how to use string patterns and ranges to search data and how to sort and group data in result sets. You will also practice composing nested queries and execute select statements to access data from multiple tables.
7 hours to complete
7 videos (Total 32 min), 2 readings, 8 quizzes
6 hours to complete
Accessing Databases using Python
In this module you will learn the basic concepts related to using Python to connect to databases. In a Jupyter Notebook, you will create tables, load data, query data using SQL, and analyze data using Python.
6 hours to complete
5 videos (Total 27 min), 1 reading, 9 quizzes
Reviews
- 5 stars74.72%
- 4 stars18.69%
- 3 stars4.03%
- 2 stars1.12%
- 1 star1.41%
TOP REVIEWS FROM DATABASES AND SQL FOR DATA SCIENCE WITH PYTHON
by PKAug 19, 2020
A very useful course with some very interesting datasets/Jupyter notebooks to work through/practice your skills. Offers a good balanced blend between theory and practical/practice. Very good course!
by RYApr 7, 2020
This "
Databases and SQL for Data Science" course was good. I learned too many new things and it really helped me by providing fundamental knowledge regarding databases and SQL.
"
by IAFeb 21, 2021
The course served as a good SQL refresher and I love the that I get to run all the exercise and assignment on IBM cloud. That really saved me a lot of stress. Good foundational course overall.
by SGDec 24, 2019
One of the best course I completed on Coursera. All the learning material is well organised and easy to understand. Also the non-graded sections regarding relational databases are interesting.
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