Applying Machine Learning to your Data with Google Cloud
Earned Jun 29, 2022 EDT
Achieving Advanced Insights with BigQuery
Earned Jun 10, 2022 EDT
Creating New BigQuery Datasets and Visualizing Insights
Earned May 4, 2022 EDT
Analyzing and Visualizing Data in Looker
Earned May 3, 2022 EDT
Exploring and Preparing your Data with BigQuery
Earned Apr 29, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Apr 20, 2022 EDT
在 Compute Engine 上实现负载均衡
Earned Mar 28, 2022 EDT
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.
了解详情
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.
了解详情
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.
了解详情
In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
了解详情
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.
了解详情
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
Applying Machine Learning to your Data with Google Cloud
Earned Jun 29, 2022 EDT
Achieving Advanced Insights with BigQuery
Earned Jun 10, 2022 EDT
Creating New BigQuery Datasets and Visualizing Insights
Earned May 4, 2022 EDT
Analyzing and Visualizing Data in Looker
Earned May 3, 2022 EDT
Exploring and Preparing your Data with BigQuery
Earned Apr 29, 2022 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Apr 20, 2022 EDT
在 Compute Engine 上实现负载均衡
Earned Mar 28, 2022 EDT