Google Cloud Analytics Courses and Certifications

Dataflow: Qwik Start - Python

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will set up your Python development environment, get the Cloud Dataflow SDK for Python, and run an example pipeline using the Google Cloud Platform Console.

• Coursera
• 30 minutes
• Self-Paced
• Paid Course

LearnKartS

Database, Big Data, and DevOps Services in GCP

Explore GCP's powerful database, big data, and DevOps services. Master tools for efficient data management, processing, and deployment. Gain practical skills through hands-on labs and real-world scenarios.

• Coursera
• 5 hours 5 minutes
• Self-Paced
• Paid Course

Cloud Composer: Copying BigQuery Tables Across Different Locations

Automate BigQuery table exports from US to Europe using Apache Airflow in Cloud Composer, enabling cross-location data transfer and import.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Summarize Text using SQL and LLMs in BigQuery ML

Explore text summarization and language identification of GitHub repos using Vertex AI Large Language Model and SQL in BigQuery ML.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Work with Gemini Models in BigQuery

Learn to leverage Gemini models in BigQuery for generative AI tasks, focusing on customer relationship management. Gain hands-on experience with SQL queries and Python notebooks.

• Coursera
• 4 hours 8 minutes
• Self-Paced
• Paid Course

Working with JSON, Arrays, and Structs in BigQuery

Explore semi-structured data in BigQuery: ingest JSON, query arrays, troubleshoot datasets, and practice unnesting techniques for efficient data analysis.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Troubleshooting Common SQL Errors with BigQuery

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use BigQuery to troubleshoot common SQL errors, query the data-to-insights public dataset, use the Query Validator, and troubleshoot syntax and logical SQL errors.

• Coursera
• 50 minutes
• Self-Paced
• Paid Course

Machine Learning with Spark on Google Cloud Dataproc

Implement logistic regression using Apache Spark's ML library on Google Cloud Dataproc to develop a model for multivariable dataset analysis.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

BigQuery Soccer Data Analytical Insight

Gain deeper analytical insights from soccer event data using BigQuery. Learn sophisticated data analysis techniques to extract meaningful information from datasets.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

Data Governance with Dataplex Universal Catalog

Master data governance fundamentals and hands-on Dataplex Universal Catalog skills for profiling, quality management, and automated lineage implementation.

• Coursera
• 2 hours 41 minutes
• Self-Paced
• Paid Course

Dataproc: Qwik Start - Console

Learn to create and manage a Google Cloud Dataproc cluster, run Apache Spark jobs, and adjust worker nodes using the gcloud Command Line in this hands-on lab.

• Coursera
• 30 minutes
• Self-Paced
• Paid Course

Distributed Image Processing in Cloud Dataproc

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use Apache Spark on Cloud Dataproc to distribute a computationally intensive image processing task onto a cluster of machines.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Exploring the Public Cryptocurrency Datasets Available in BigQuery

This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab you’ll learn how to use BigQuery to explore the cryptocurrency public datasets now available. This is a challange lab, and you are required to complete some simpl…

• Coursera
• 35 minutes
• Self-Paced
• Paid Course

BigQuery Machine Learning using Soccer Data

This is a self-paced lab that takes place in the Google Cloud console. Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.

• Coursera
• 45 minutes
• Self-Paced
• Paid Course

Building Demand Forecasting with BigQuery ML

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will build a time series model to forcast demand of multiple products using BigQuery ML. This lab is based on a blog post and featured in an episode of Cloud OnAir.

• Coursera
• 1 hour
• Self-Paced
• Paid Course