Put It All Together: Prepare for a Cloud Data Analyst Job
Earned nov. 18, 2025 EST
The Power of Storytelling: How to Visualize Data in the Cloud
Earned nov. 18, 2025 EST
Data Transformation in the Cloud
Earned nov. 18, 2025 EST
Data Management and Storage in the Cloud
Earned nov. 18, 2025 EST
Introduction to Data Analytics in Google Cloud
Earned nov. 18, 2025 EST
Prepare Data for Looker Dashboards and Reports
Earned août 28, 2024 EDT
Use Machine Learning APIs on Google Cloud
Earned août 20, 2024 EDT
Classify Images with TensorFlow on Google Cloud
Earned août 11, 2024 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned août 9, 2024 EDT
Perform Predictive Data Analysis in BigQuery
Earned août 9, 2024 EDT
Create ML Models with BigQuery ML
Earned août 8, 2024 EDT
Derive Insights from BigQuery Data
Earned août 5, 2024 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned août 5, 2024 EDT
The Power of Storytelling: How to Visualize Data in the Cloud
Earned août 5, 2024 EDT
Data Transformation in the Cloud
Earned août 1, 2024 EDT
Data Management and Storage in the Cloud
Earned juil. 30, 2024 EDT
Introduction to Data Analytics in Google Cloud
Earned juil. 27, 2024 EDT
This is the fifth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll combine and apply the foundational knowledge and skills from courses 1-4 in a hands-on Capstone project that focuses on the full data lifecycle project. You’ll practice using cloud-based tools to acquire, store, process, analyze, visualize, and communicate data insights effectively. By the end of the course, you’ll have completed a project demonstrating their proficiency in effectively structuring data from multiple sources, presenting solutions to varied stakeholders, and visualizing data insights using cloud-based software. You’ll also update your resume and practice interview techniques to help prepare for applying and interviewing for jobs.
En savoir plus
This is the fourth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll focus on developing skills in the five key stages of visualizing data in the cloud: storytelling, planning, exploring data, building visualizations, and sharing data with others. You’ll also gain experience using UI/UX skills to wireframe impactful, cloud-native visualizations and work with cloud-native data visualization tools to explore datasets, create reports, and build dashboards that drive decisions and foster collaboration.
En savoir plus
This is the third of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll begin by getting an overview of the data journey, from collection to insights. You’ll then learn how to use SQL to transform raw data into a usable format. Next, you’ll learn how to transform high volumes of data with a data pipeline. Finally, you’ll gain experience applying transformation strategies to real data sets to solve business needs.
En savoir plus
This is the second of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll explore how data is structured and organized. You’ll gain hands-on experience with the data lakehouse architecture and cloud components like BigQuery, Google Cloud Storage, and DataProc to efficiently store, analyze, and process large datasets.
En savoir plus
This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.
En savoir plus
Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge course to demonstrate skills in the following: filtering, sorting, and pivoting data; merging results from different Looker Explores; and using functions and operators to build Looker dashboards and reports for data analysis and visualization.
En savoir plus
Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
En savoir plus
Earn the intermediate Skill Badge by completing the Classify Images with TensorFlow on Google Cloud skill badge course where you learn how to use TensorFlow and Vertex AI to create and train machine learning models. You primarily interact with Vertex AI Workbench user-managed notebooks.
En savoir plus
In this advanced-level quest, you will learn how to harness serious Google Cloud computing power to run big data and machine learning jobs. The hands-on labs will give you use cases, and you will be tasked with implementing big data and machine learning practices utilized by Google’s very own Solutions Architecture team. From running Big Query analytics on tens of thousands of basketball games, to training TensorFlow image classifiers, you will quickly see why Google Cloud is the go-to platform for running big data and machine learning jobs.
En savoir plus
Complete the intermediate Perform Predictive Data Analysis in BigQuery skill badge course to demonstrate skills in the following: creating datasets in BigQuery by importing CSV and JSON files; harnessing the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on soccer event data and evaluate the impressiveness of World Cup goals.
En savoir plus
Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
En savoir plus
Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Looker Studio by connecting to BigQuery data.
En savoir plus
This is the fifth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll combine and apply the foundational knowledge and skills from courses 1-4 in a hands-on Capstone project that focuses on the full data lifecycle project. You’ll practice using cloud-based tools to acquire, store, process, analyze, visualize, and communicate data insights effectively. By the end of the course, you’ll have completed a project demonstrating their proficiency in effectively structuring data from multiple sources, presenting solutions to varied stakeholders, and visualizing data insights using cloud-based software. You’ll also update your resume and practice interview techniques to help prepare for applying and interviewing for jobs.
En savoir plus
This is the fourth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll focus on developing skills in the five key stages of visualizing data in the cloud: storytelling, planning, exploring data, building visualizations, and sharing data with others. You’ll also gain experience using UI/UX skills to wireframe impactful, cloud-native visualizations and work with cloud-native data visualization tools to explore datasets, create reports, and build dashboards that drive decisions and foster collaboration.
En savoir plus
This is the third of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll begin by getting an overview of the data journey, from collection to insights. You’ll then learn how to use SQL to transform raw data into a usable format. Next, you’ll learn how to transform high volumes of data with a data pipeline. Finally, you’ll gain experience applying transformation strategies to real data sets to solve business needs.
En savoir plus
This is the second of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll explore how data is structured and organized. You’ll gain hands-on experience with the data lakehouse architecture and cloud components like BigQuery, Google Cloud Storage, and DataProc to efficiently store, analyze, and process large datasets.
En savoir plus
This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned nov. 18, 2025 EST
The Power of Storytelling: How to Visualize Data in the Cloud
Earned nov. 18, 2025 EST
Data Transformation in the Cloud
Earned nov. 18, 2025 EST
Data Management and Storage in the Cloud
Earned nov. 18, 2025 EST
Introduction to Data Analytics in Google Cloud
Earned nov. 18, 2025 EST
Prepare Data for Looker Dashboards and Reports
Earned août 28, 2024 EDT
Use Machine Learning APIs on Google Cloud
Earned août 20, 2024 EDT
Classify Images with TensorFlow on Google Cloud
Earned août 11, 2024 EDT
DEPRECATED Google Cloud Solutions II: Data and Machine Learning
Earned août 9, 2024 EDT
Perform Predictive Data Analysis in BigQuery
Earned août 9, 2024 EDT
Create ML Models with BigQuery ML
Earned août 8, 2024 EDT
Derive Insights from BigQuery Data
Earned août 5, 2024 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned août 5, 2024 EDT
The Power of Storytelling: How to Visualize Data in the Cloud
Earned août 5, 2024 EDT
Data Transformation in the Cloud
Earned août 1, 2024 EDT
Data Management and Storage in the Cloud
Earned juil. 30, 2024 EDT
Introduction to Data Analytics in Google Cloud
Earned juil. 27, 2024 EDT