The Best Google Cloud Data Analytics Training for Professionals

The demand for data professionals in the United States continues to rise, driven by the increasing reliance on data-driven decision-making across various industries. The Google Cloud Data Analytics Skills Boost training courses provide a comprehensive platform to acquire the necessary skills to excel in this field. Whether you’re aspiring to become a Data Analyst, Data Scientist, or Data Engineer, these free training courses and certificate programs from Google offer valuable knowledge and practical experience.

One of the standout features of these courses is the in-depth coverage of Looker, a powerful data visualization and exploration tool. Learning Looker will enable you to effectively communicate insights from complex datasets to stakeholders.

Additionally, the courses delve into AI/ML and Google Gemini, a Generative AI multimodal large language model, equipping you with the skills to leverage these cutting-edge technologies for data analysis and problem-solving. Furthermore, working with datasets in BigQuery, Google’s fully managed cloud data warehouse will enhance your ability to handle large-scale data processing and analysis.

Employment remains strong for Data Analytics Professionals in 2024

The market for Data Scientists, Engineers, and Analysts remains strong. According to Glassdoor, the average salaries for these positions in the United States are $129.7K, $122.9K, and $77.5K, respectively. Salaries are significantly higher in major tech hubs like San Francisco, New York City, and Seattle.

I encourage anyone to complete at least one of the following learning paths and include it on their resume or LinkedIn. Due to market competition and in keeping with the most sought-after skills, if I had to choose one learning path to complete (at a minimum), it would be the “Beginner: Introduction to Generative AI Learning Path.” It also takes the least amount of time to complete.

It’s important to note that while many of the training courses on Google Cloud Skills Boost are free, the Data Analytics Certificate will require “credits” to enroll, which can either be purchased in a specific quantity or you can subscribe to the Skills Boost platform for $29 USD a month. New accounts are eligible for a free 30-day trial.

You’re in the right place if you’re looking for the best Google Cloud Data Analytics training for big data, business intelligence, and visualization. Will these courses guarantee you a job? Absolutely not, but it will help you develop new skills and remain competitive in a hot field.

Beginner: Introduction to Generative AI Learning Path

Link to training: https://www.cloudskillsboost.google/paths/118

This learning path provides an overview of generative AI concepts, from the fundamentals of large language models to responsible AI principles. Each “micro-course” provides a general overview of core Generative AI topics to get you started on more complex AI/ML and GenAI skill development.

Topics Covered:

1. Introduction to Generative AI
2. Introduction to Large Language Models
3. Introduction to Responsible AI
4. Prompt Design in Vertex AI
5. Responsible AI: Applying AI Principles with Google Cloud

Beginner: Google Cloud Data Analytics Certificate

Link to training: https://www.cloudskillsboost.google/paths/420

Unlike the other trainings listed on this page, this certificate program can be completed online. Therefore, it is also one of the most time-consuming learning paths, but you’ll earn a certificate in the process that is significantly more valuable to list on a resume than just an individual course.

Become a data-driven powerhouse with Google Cloud! As a Cloud Data Analyst, you’ll unlock insights hidden within vast datasets, transforming raw numbers into impactful stories that shape business strategies across the globe. This certificate program is your launchpad – a carefully curated mix of expert instruction and real-world challenges. You’ll build a portfolio of impressive projects, showcasing that you can analyze, visualize, and communicate data to employers. This is where your journey begins – get ready to wield the tools and strategies that turn data into decisive action.

Topics Covered:

1. Introduction to Data Analytics in Google Cloud (18 hours)
2. Data Management and Storage in the Cloud (26 hours 15 minutes)
3. Data Transformation in the Cloud (18 hours)
4. The Power of Storytelling: How to Visualize Data in the Cloud (27 hours)
5. Put It All Together: Prepare for a Cloud Data Analyst Job (12 hours)

Data Analyst Learning Path

Link to training: https://www.cloudskillsboost.google/paths/18

This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide real-world, hands-on experience using Google Cloud technologies essential to the Data Analyst role. It starts at Introductory and continues to Intermediate.

Topics Covered:

1. A Tour of Google Cloud Hands-on Labs
2. Introduction to Data Analytics on Google Cloud
3. Analyzing and Visualizing Data in Looker
4. Developing Data Models with LookML
5. Prepare Data for ML APIs on Google Cloud
6. Prepare Data for Looker Dashboards and Reports
7. Derive Insights from BigQuery Data
8. Create ML Models with BigQuery ML
9. Applying Advanced LookML Concepts in Looker
10. Data Catalog Fundamentals
11. Build LookML Objects in Looker
12. Manage Data Models in Looker

Business Intelligence and Analytics with Looker Learning Path

Link to training: https://www.cloudskillsboost.google/paths/28

This learning path contains labs, quests, and courses that provide hands-on activities related to Looker. Looker is a business intelligence and data analytics platform similar to Tableau, PowerBI, and Qlik. You’ll learn how to develop scalable, performant LookML (Looker Modeling Language) models that give your business users the standardized, ready-to-use data they need to answer their questions. You’ll also learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. It starts at Introductory and continues to Intermediate.

Topics Covered:

1. Using Custom Fields in Looker Explores
2. Creating a Looker Modeled Query and Working with Quick Start
3. Optimizing Performance of LookML Queries
4. Prepare Data for Looker Dashboards and Reports
5. Understanding LookML in Looker
6. Applying Advanced LookML Concepts in Looker
7. Analyzing and Visualizing Data in Looker
8. Developing Data Models with LookML

Additional Google Cloud Skills Boost Learning Paths

If you’d like to explore related cloud courses, such as the Google Cloud Cybersecurity Certificate or Google Cloud Computing Foundations, you can access the complete list of Google Cloud Skills Boost learning paths.

Additional Google Cloud Training and Information

If you enjoyed this page, be sure to check out more training options we’ve covered in the past:

• Google Cloud Cybersecurity Certificate
• 10 free Google Cloud Generative AI training courses
• Google Generative AI Training: Chain of Thought and Prompt Engineering
• Google Generative AI Training: Applying Responsible AI Principles
• Google Generative AI Training: Introduction to Large Language Models