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.
von
IBMÜber diesen Kurs
623.067 kürzliche Aufrufe
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Zertifikat zur Vorlage
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100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Stufe „Anfänger“
Ca. 20 Stunden zum Abschließen
Englisch
Untertitel: Englisch, Arabischer Raum, Persisch
Was Sie lernen werden
Describe databases, relational databases, and cloud databases.
Create a relational database on Cloud and work with Tables.
Explain the difference between DDL and DML.
List and execute basic SQL statements (SELECT, INSERT, UPDATE, DELETE).
Kompetenzen, die Sie erwerben
- Cloud Databases
- Python Programming
- Ipython
- Relational Database Management System (RDBMS)
- SQL
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Stufe „Anfänger“
Ca. 20 Stunden zum Abschließen
Englisch
Untertitel: Englisch, Arabischer Raum, Persisch
von
IBM
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.
Lehrplan - Was Sie in diesem Kurs lernen werden
2 Stunden zum Abschließen
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 Stunden zum Abschließen
6 Videos (Gesamt 19 min), 1 Lektüre, 5 Quiz
2 Stunden zum Abschließen
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.
2 Stunden zum Abschließen
5 Videos (Gesamt 22 min), 1 Lektüre, 2 Quiz
3 Stunden zum Abschließen
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.
3 Stunden zum Abschließen
7 Videos (Gesamt 32 min), 2 Lektüren, 4 Quiz
3 Stunden zum Abschließen
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.
3 Stunden zum Abschließen
5 Videos (Gesamt 27 min), 1 Lektüre, 6 Quiz
Bewertungen
Top-Bewertungen von DATABASES AND SQL FOR DATA SCIENCE WITH PYTHON
von BS20. Mai 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!
von DE27. Dez. 2019
Course is god enough. However the last assessment is not. Misprints and not clear questions lead to disappointing marks in the end. Also other students marked assessments based on their understanding.
von RK6. Jan. 2022
Most of it really good. I think joins should be covered in the base material and there should be less of an emphasis on sub-queries. The Peer Reviewed final was a little confusing in its questioning.
von AT26. Feb. 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!
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