Data Engineering, Big Data, and Machine Learning on GCP, Short Course | Part time online | Coursera | United States
4 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
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Apply date
Anytime
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Start date

About

This Data Engineering, Big Data, and Machine Learning on GCP Specialization offered by Coursera in partnership with Google Cloud provide the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification.

Visit the Visit programme website for more information

Overview

87% of Google Cloud certified users feel more confident in their cloud skills.

Here's what you have to do

  • Complete the Coursera Data Engineering Professional Certificate

  • Review other recommended resources for the Google Cloud Professional Data Engineer certification exam

  • Review the Professional Data Engineer exam guide

  • Complete Professional Data Engineer sample questions

  • Register for the Google Cloud certification exam (remotely or at a test center)

This professional   Data Engineering, Big Data, and Machine Learning on GCP Specialization offered by Coursera in partnership with Google Cloud incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules.

Applied Learning Project

This Specialization incorporates hands-on labs using our Qwiklabs platform.

These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as BigQuery, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

Programme Structure

Courses include:

  • Google Cloud Platform Big Data and Machine Learning

  • Modernizing Data Lakes and Data Warehouses with GCP

  • Building Batch Data Pipelines on GCP

  • Building Resilient Streaming Analytics Systems on GCP

  • Smart Analytics, Machine Learning, and AI on GCP

Key information

Duration

  • Part-time
    • 4 months
    • 3 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

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

Intermediate Level

  • Some related experience required.

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 4 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 4 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access. 

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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