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Overview
Key Features
Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.
By the end of the Foundations for Big Data Analysis with SQL course offered by Coursera in partnership with Cloudera, you will be able to
- distinguish operational from analytic databases, and understand how these are applied in big data;
- understand how database and table design provides structures for working with data;
- appreciate how differences in volume and variety of data affects your choice of an appropriate database system;
- recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and
- explore databases and tables in a big data platform.
Programme Structure
Courses include:
- Data and Databases
- Relational Databases and SQL
- Two Strategies for Database Design
- Big Data
- SQL Tools for Big Data Analysis
- Hands-On Environment
Key information
Duration
- Part-time
- 7 days
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data View 460 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- No previous experience necessary
- This course is aimed at learners interested in data analytics and big data who want to develop foundational knowledge of database systems, SQL tools, and how to work with large‑scale data platforms.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription
Funding
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