4.2 Read 91 reviews
Overview
Key features
Data is everywhere. If you or your company don't know what data you have and what insights you can uncover through your data, you are at a competitive disadvantage. In this Data Analytics and Databases on AWS course offered by Coursera in partnership with Amazon Web Services you'll learn about the omnipresence of data in today's world and what it takes to start thinking and acting like a data analyst.
Week 1 concludes by comparing and contrasting ETL (Extract, Transform, Load) and ELT(Extract, Load, Transform) and where data is transformed and how data warehouses retain data.
Week 2 kicks off with an overview of data workflow and database foundations. The four vs (volume, velocity, variety and veracity) of data are explained along with walk-throughs of collecting, processing, and storing data. In the course's final week, you'll get briefed on some of the AWS services that can be leveraged for ETL.
You'll extract data with Amazon API Gateway, process data with AWS Lambda, load data with Amazon RDS, and visualize data with Amazon QuickSight. There's the right tool for each unique data analysis task.
Programme Structure
Course structure:
- Data Analysis
- Thinking Like a Data Analyst
- Understanding Metadata
- ETL Pipeline and Database
- SQL and NoSQL Databases: What’s the difference?
- AWS Services for ETL
Key information
Duration
- Part-time
- 1 days
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 Analytics View 176 other Short Courses in Data Analytics in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
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 aspiring data analysts who want to develop foundational skills in data analytics and database concepts on AWS, including data workflows, ETL processes, and using AWS services for data extraction, processing, storage, and visualization.
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
Improve page content