Overview
Key Features
The Analyzing Big Data with SQL course offered by Coursera in partnership with Cloudera focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL.
By the end of the course, you will be able to
- explore and navigate databases and tables using different tools;
- understand the basics of SELECT statements;
- understand how and why to filter results;
- explore grouping and aggregation to answer analytic questions;
- work with sorting and limiting results; and
- combine multiple tables in different ways.
Programme Structure
Courses include:
- Orientation to SQL on Big Data
- SQL SELECT Essentials
- Filtering Data
- Grouping and Aggregating Data
- Sorting and Limiting Data
- Combining Data
Key information
Duration
- Part-time
- 14 days
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data View 463 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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 and professionals who want to develop foundational SQL skills to analyze and query large datasets, particularly in big data environments.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.