Overview
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.
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Syllabus
Course 1: Exploring and Preparing your Data with BigQuery
- Offered by Google Cloud. In this course, we see what the common challenges faced by data analysts are and how to solve them with the big ... Enroll for free.
Course 2: Creating New BigQuery Datasets and Visualizing Insights
- Offered by Google Cloud. This is the second course in the Data to Insights course series. Here we will cover how to ingest new external ... Enroll for free.
Course 3: Achieving Advanced Insights with BigQuery
- Offered by Google Cloud. The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your ... Enroll for free.
Course 4: Applying Machine Learning to your Data with Google Cloud
- Offered by Google Cloud. In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ... Enroll for free.
- Offered by Google Cloud. In this course, we see what the common challenges faced by data analysts are and how to solve them with the big ... Enroll for free.
Course 2: Creating New BigQuery Datasets and Visualizing Insights
- Offered by Google Cloud. This is the second course in the Data to Insights course series. Here we will cover how to ingest new external ... Enroll for free.
Course 3: Achieving Advanced Insights with BigQuery
- Offered by Google Cloud. The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your ... Enroll for free.
Course 4: Applying Machine Learning to your Data with Google Cloud
- Offered by Google Cloud. In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ... Enroll for free.
Courses
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In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets. This is the first course of the From Data to Insights with Google Cloud series. After completing this course, enroll in the Creating New BigQuery Datasets and Visualizing Insights course.
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The third course in this course 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 the internal architecture of BigQuery (column-based sharded storage) and advanced SQL topics like nested and repeated fields through the use of Arrays and Structs. Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views. After completing this course, enroll in the Applying Machine Learning to your Data with Google Cloud course.
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In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML.
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This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources. Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you. After completing this course, enroll in the Achieving Advanced Insights with BigQuery course.
Taught by
Google Cloud Training