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Getting Started with Data Analytics on AWS Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Learn how to go from raw data to meaningful insights using AWS with this one-week Getting Started with Data Analytics on AWS course offered by Coursera in partnership with Amazon Web Services . Throughout the course, you’ll learn about the fundamentals of Data Analytics from AWS experts.

Overview

Start off with an overview of different types of data analytics techniques - descriptive, diagnostic, predictive, and prescriptive before diving deeper into the descriptive data analytics. Then, apply your knowledge with a guided project that makes use of a simple, but powerful dataset available by default in every AWS account: the logs from AWS CloudTrail. The CloudTrail service enables governance, compliance, operational auditing, and risk auditing of your AWS account. Through the Getting Started with Data Analytics on AWS course offered by Coursera in partnership with Amazon Web Services you’ll also get an introduction to Amazon Athena and Amazon QuickSight. And, you’ll learn how to build a basic security dashboard as a simple but practical method of applying your newfound data analytics knowledge.

What you'll learn

  • Explain different types of data analyses – descriptive, diagnostic, predictive, prescriptive

  • Understand how to perform descriptive data analytics in the cloud with typical data sets

  • How to build simple visualizations in AWS QuickSight to do descriptive analytics (using S3, Cloudtrail, Athena)

Programme Structure

Course structure:

  •  Getting Started with Data Analytics on AWS
  • What is Data Analytics?
  • Most Common Data Analysis Nowadays
  • Why do Data Analytics in the Cloud?
  • Popular AWS Services Used for Analytics Solutions
  • Building a Simple AWS CloudTrail Data Analytics Solution

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

What 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

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Audit: free access to course materials except graded items
  • Certificate: a trusted way to showcase your skills
  • A year of unlimited access with Coursera Plus $199

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.

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