À propos de ce cours : 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. The purpose of this course is to introduce relational database concepts and help you learn and apply knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment. The emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python. No prior knowledge of databases, SQL, Python, or programming is required. Anyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.
Les destinataires de ce cours : This course is designed for anyone interested in learning SQL, especially those who want to apply SQL for data science. Therefore it is ideal for those aspiring to become data scientists. It is also suitable for those who want to become data analysts, data engineers, database administrators, or a database developers. This course is for beginners in SQL and Data Science. It does not require any prior knowledge of SQL, databases, Python, or programming.
Créé par : IBM
Enseigné par : Rav Ahuja, Data Science Program Manager
IBM
| Informations de base | Cours 5 de 9 dans IBM Data Science Professional Certificate Specialization |
| Niveau | Débutant |
| Engagement | 3-4 weeks of study, 2-4 hours/week. |
| Langue | English |
| Matériel requis | Only browser access is required. Access to cloud based environment will be provided for hands-on labs. |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
Programme de cours
SEMAINE 1
Week 1 - Introduction to Databases and Basic SQL
In Week 1 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.
11 vidéos, 5 lectures, 2 quiz pour s'exercer
- Vidéo: Introduction to Databases
- Vidéo: How to create a Database instance on Cloud?
- Reading: Hands-on LAB: Provision a Cloud hosted Database instance
- LTI Item: OPTIONAL: Applying IBM Cloud Promo Code
- Vidéo: CREATE Table Statement
- Vidéo: SELECT Statement
- Reading: Count, Distinct, Limit
- Vidéo: INSERT Statement
- Vidéo: UPDATE and DELETE Statements
- Reading: Hands-on LAB: Composing and Running basic SQL queries
- Reading: About this Optional lesson
- Vidéo: Information and Data Models
- Vidéo: Types of Relationships
- Vidéo: Mapping Entities to Tables
- Vidéo: Relational Model Concepts
- Reading: Additional Reading
- Practice Quiz: Practice Quiz: Review of Relational Database Concepts
- Practice Quiz: Optional Not Graded Quiz on Relational Concepts
Noté: Databases
Noté: Basic SQL
SEMAINE 2
Week 2 - Advanced SQL
By the end of this module you will: (1) earn how to use string patterns and ranges to search data, how to sort and group data in result sets, as well as (2) learn how to work with multiple tables in a relational database using join operations.
10 vidéos, 4 lectures, 2 quiz pour s'exercer
- Vidéo: Sorting Result Sets
- Vidéo: Grouping Result Sets
- Reading: Hands-on LAB: String Patterns, Sorting & Grouping
- Vidéo: Join Overview
- Vidéo: Inner Join
- Vidéo: Left Outer Join
- Vidéo: Right Outer Join
- Vidéo: Full Outer Join
- Reading: Hands-on LAB: JOINs
- Reading: About this Optional lesson
- Vidéo: Relational Model Constraints
- Vidéo: Relational Model Constraints - Advanced
- Reading: Additional Information on Keys and Constraints
- Practice Quiz: Practice Quiz: Review of Database Constraints
- Practice Quiz: Optional Not Graded Quiz on Constraints
Noté: String Patterns, Ranges, Sorting and Grouping
Noté: JOIN operations
SEMAINE 3
Week 3 - Accessing Databases using Python
After completing the lessons in this week, you will learn how to explain the basic concepts related to using Python to connect to databases and then create tables, load data, query data using SQL and analyze data using Python
5 vidéos
- Vidéo: Writing code using DB-API
- Vidéo: Connecting to a database using ibm_db API
- LTI Item: Hands-on LAB 1: Connecting to a database instance
- Vidéo: Creating tables, loading data and querying data
- LTI Item: Hands-on LAB 2: Creating tables, inserting and querying Data
- LTI Item: Hands-on Tutorial: Accessing databases with SQL magic
- Vidéo: Analyzing data with Python
- LTI Item: Hands-on LAB 3: Analyzing a real world data set
Noté: Database access from Python
SEMAINE 4
Week 4: Course Assignment
As a hands-on Data Science assignment, you will be working with multiple real world datasets for the city of Chicago. You will be asked questions that will help you understand the data just like a data scientist would. You will be assessed both on the correctness of your SQL queries and results.
3 lectures
- Reading: Working with real-world data sets
- Reading: Built-in Functions, Dates, Timestamps
- LTI Item: Hands-on Lab 1: Querying real world datasets
- LTI Item: Jupyter notebook with problems for Peer Reviewed Assignment
- Reading: IBM Digital Badge
Noté: Peer Reviewed Assignment
FAQ
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Créateurs
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
Tarification
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
Notation et examens
Great content
Great Course
Awesome course with the basics of SQL and real life applications.
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SN
This is a very good database course. I would have preferred more problem sets.