• Anytime
    Application Deadline
  • 1 month
    Duration

About

This 1-week accelerated on-demand Google Cloud Platform Big Data and Machine Learning Fundamentals Course offered by Coursera in partnership with Google Cloud introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.

At the end of this course, participants will be able to:

  • Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform
  • Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform
  • Employ BigQuery and Cloud Datalab to carry out interactive data analysis
  • Choose between Cloud SQL, BigTable and Datastore
  • Train and use a neural network using TensorFlow
  • Choose between different data processing products on the Google Cloud Platform

Detailed Programme Facts

  • Programme intensity Part-time
    • Average part-time duration 1 months
    • Intensity 10 hrs/week
    • Part-time variant
      Flexible
    • Duration description

      1 week of study, 6-10 hours/week

  • Languages
    • English
  • Delivery mode
    Online
  • More information Go to the programme website

Programme Structure

Course Structure:
  • Introduction to the Data and Machine Learning on Google Cloud Platform Specialization
  • Module 1: Introduction to Google Cloud Platform and its Big Data Products
  • Module 2: Foundations of GCP Compute and Storage
  • Module 3: Data Analysis on the Cloud
  • Module 4: Scaling Data Analysis: Compute with GCP
  • Module 5: Data Processing Architectures: Scalable Ingest, Transform and Load
  • Module 6: Summary of Google Cloud Platform, Big Data, and ML

Audience

This class is intended for Data analysts, Data scientists and Business analysts. It is also suitable for IT decision makers evaluating Google Cloud Platform for use by data scientists.

English Language Requirements

This programme requires students to demonstrate proficiency in English.

Academic Requirements

Before enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:

  •  A common query language such as SQL
  • Extract, transform, load activities
  • Data modeling
  • Machine learning and/or statistics
  • Programming in Python

Work Experience

At least 1 year(s) of work experience are required.

Tuition Fee

  • International Applies to you

    49 USD/module
    Tuition Fee
    Based on the original amount of 49 USD per module and a duration of 1 months.
  • National Applies to you

    49 USD/module
    Tuition Fee
    Based on the original amount of 49 USD per module and a duration of 1 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
The programme is self-paced and the cost per month is 49$

Funding

Check the programme website for information about funding options.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

The Global Study Awards: get funded with up to £10,000 to study abroad

Together with the ISIC Association and British Council IELTS, Studyportals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.