About this Course

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Shareable Certificate
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100% online
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Intermediate Level
Approx. 12 hours to complete
English

What you will learn

  • Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.

  • Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.

  • Employ BigQuery to carry out interactive data analysis.

  • Choose between different data processing products on Google Cloud.

Skills you will gain

  • Tensorflow
  • Bigquery
  • Google Cloud Platform
  • Cloud Computing
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 12 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Content RatingThumbs Up95%(25,356 ratings)Info
Week
1

Week 1

3 hours to complete

Introduction to the Google Cloud Big Data and Machine Learning Fundamentals Course

3 hours to complete
13 videos (Total 80 min), 2 readings, 2 quizzes
2 hours to complete

Recommending Products using Cloud SQL and Spark

2 hours to complete
8 videos (Total 50 min), 1 reading, 2 quizzes
3 hours to complete

Predict Visitor Purchases Using BigQuery ML

3 hours to complete
13 videos (Total 73 min), 2 readings, 2 quizzes
Week
2

Week 2

2 hours to complete

Real-time IoT Dashboards with Pub/Sub, Dataflow, and Data Studio

2 hours to complete
8 videos (Total 31 min), 1 reading, 2 quizzes
2 hours to complete

Deriving Insights from Unstructured Data using Machine Learning

2 hours to complete
10 videos (Total 55 min), 2 readings, 2 quizzes
5 minutes to complete

Summary

5 minutes to complete
1 video (Total 5 min)

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