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From Data to Insights with Google Cloud

Sylvain KAHN, Philippe PERCHOC, Thomas RAINEAU, and Google Cloud Training

Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!

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Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!

This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.

This specialization is intended for the following participants:

● Data Analysts, Business Analysts, Business Intelligence professionals

● Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform

To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL.

>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

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What's inside

Four courses

Exploring ​and ​Preparing ​your ​Data with BigQuery

(0 hours)
In this course, we'll explore common challenges faced by data analysts and how to solve them with Google Cloud's big data tools. You'll learn SQL and become familiar with using BigQuery and Dataprep to analyze and transform datasets.
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Creating New BigQuery Datasets and Visualizing Insights

(0 hours)
This course teaches how to ingest new external datasets into BigQuery and visualize them with Looker Studio. It also covers intermediate SQL concepts like multi-table JOINs and UNIONs for analyzing data across multiple data sources.
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Achieving Advanced Insights with BigQuery

(0 hours)
The third course in this series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps. We will cover advanced SQL topics like nested and repeated fields, and dive into optimizing your queries for performance and securing your data.
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Applying Machine Learning to your Data with Google Cloud

(0 hours)
In this course, we define machine learning and explore its benefits. You'll see demos of ML in action and learn key terms like instances, features, and labels. In the interactive labs, you will practice using pretrained ML APIs and build your own ML models using SQL with BigQuery ML.
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Time
20 hours
Level
Introductory
Via
Coursera
Institutions
Sciences Po
Google Cloud
Instructors
Sylvain KAHN
Philippe PERCHOC
Thomas RAINEAU
Google Cloud Training
Level
Introductory
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