About this course: This 1-week accelerated on-demand course 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 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 Google Account Notes: • You'll need a Google/Gmail account and a credit card or bank account to sign up for the Google Cloud Platform free trial (Google is currently blocked in China). • There is a known issue with certain EU countries where individuals are not able to sign up, but you may sign up as "business" status and intend to see a potential economic benefit from the trial. More details at: https://support.google.com/cloud/answer/6090602 • More Google Cloud Platform free trial FAQs are available at: https://cloud.google.com/free-trial/
Who is this class for: 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. This class is for people who do the following with big data: • Extracting, Loading, Transforming, cleaning, and validating data for use in analytics • Designing pipelines and architectures for data processing • Creating and maintaining machine learning and statistical models • Querying datasets, visualizing query results and creating reports
Taught by: Google Cloud Training
| Basic Info |
Course 1 of 5 in the
Data Engineering on Google Cloud Platform Specialization.
|
| Level | Intermediate |
| Commitment | 1 week of study, 6-10 hours/week |
| Language | English |
| Hardware Req | You'll need a Google account and credit card to sign up for the Google Cloud Platform free trial. |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
| $59 USD/month | No Certificate | |
|---|---|---|
| Access to course materials | Available | |
| Access to graded materials | Available | |
| Receive a final grade | Available | |
| Earn a shareable Course Certificate | Available | |
Great intro and hands on training. Just enough to help me understand how these pieces fit together. Cant wait for the next class.
Instructor Viliappa Lakshmaman was a highlight, made it interesting and also varied his post-exercise stepwise approach slightly from the Codelab steps so that it became clear which steps had to be done before others, and which not. Plenty of work to do in the exercise.
Excellent course for students that are just getting into Google Cloud Platform and Machine Learning in general. Covers all the fundamental aspects with good detail. A very complete introductory course.
Coursera provides universal access to the world’s best education, partnering with top universities and organizations to offer courses online.
MD
A few of the instructions are outdated. Otherwise, generally a good overview to get started with some of the Cloud Platform tools.