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Data Analytics in Google Cloud Platform

Data Analytics in Google Cloud Platform equips aspiring cloud data analysts with foundational skills to transform raw data into actionable insights using BigQuery, Looker, and Dataproc. Designed for professionals entering data roles, it addresses the growing demand for cloud data talent, with Google Cloud-certified individuals seeing 30% higher job placement rates. Learn to clean, analyze, and visualize data through real-world projects that solve critical business questions.

This course prepares learners for the Google Cloud Data Analytics Certificate, enhancing career readiness with Koenig’s 30-day lab access for hands-on practice. Graduates gain a vendor-recognized credential and build a portfolio to showcase expertise, positioning them for roles like Cloud Data Analyst or Data Technician in a rapidly expanding cloud analytics market.

16 Hours (2 Days)
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1+ professionals trained

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Course Overview

The Data Analytics in Google Cloud Platform course by Google is designed to equip data professionals with the skills needed to design and manage data processing systems on Google Cloud. This training is ideal for data analysts, data engineers, and cloud architects seeking to leverage Google’s powerful analytics tools. It aligns directly with the Professional Data Engineer certification exam, which validates expertise in building and managing data pipelines and analytics solutions. With 78% of enterprises now adopting multi-cloud strategies and Google Cloud among the top three platforms, demand for certified professionals is surging across industries from finance to healthcare.

Students gain hands-on experience with core Google Cloud services including BigQuery, Cloud Storage, Dataflow, Dataprep, Pub/Sub, and Cloud Composer. Through interactive labs in the Google Cloud Console, learners configure data pipelines, transform raw datasets, and build real-time analytics workflows. A key project involves ingesting and processing customer data from a retail case study, applying data cleansing and transformation techniques using Dataprep and Dataflow, then visualizing insights in BigQuery. These labs simulate real-world scenarios, preparing students to handle complex data challenges in production environments.

This course prepares learners for the highly recognized Professional Data Engineer certification, a credential that commands an average global salary of $100,505 and up to $206,900 in the United States. Koenig Solutions enhances this training with a Guaranteed-to-Run schedule and access to official Google Cloud courseware, ensuring learners receive authentic, up-to-date content. By mastering data ingestion, transformation, and analysis on Google Cloud, graduates are positioned to advance into senior data roles, driving data-driven decision-making in organizations worldwide.

Prerequisites

Recommended knowledge before taking this course
  • Familiarity with BigQuery SQL syntax is required to effectively query and analyze datasets. Understanding of Google Cloud IAM roles and permissions is necessary for managing resource access. Proficiency in navigating the Google Cloud Console and basic usage of the gcloud CLI is essential for environment interaction. Completion of at least 20 hours of prior SQL experience or holding the Google Cloud Digital Leader certification is recommended. Knowledge of fundamental data types and formats like CSV and JSON is crucial for data ingestion tasks. Experience with spreadsheet tools like Google Sheets or Microsoft Excel aids in performing initial data manipulation. A conceptual grasp of cloud computing architecture and its advantages over on-premises systems provides a necessary foundation. Willingness to practice SQL hands-on through interactive labs is required to build practical skills.
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Certification Exam

Everything you need to know about the Data Analytics in Google Cloud Platform certification exam

Exam Details
Exam Name
Data Analytics in Google Cloud Platform
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
If you fail, you may retake the exam after 14 days, 60 days, and 365 days respectively. Register at: https://cloud.google.com/learn/certification/professional-data-engineer
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Data Analytics in Google Cloud Platform
Define Data Analytics in Google Cloud Platform Analyze cloud computing business benefits Identify essential Google Cloud tools including BigQuery and Looker Map complete data lifecycle stages Master Google Cloud architecture frameworks aligned with Google Cloud Digital Leader certification Optimize cloud infrastructure billing models Implement IAM security policies for data governance Define critical data team roles
2
Day 2– Advanced Data Management and Storage
Structure datasets within BigQuery Leverage Google Cloud Storage solutions Deploy scalable data lakehouse architecture Apply efficient data partitioning strategies Optimize query performance by 30% Reduce enterprise cloud storage costs Define core data governance components Use Dataplex for metadata management
3
Day 3– Data Transformation in Google Cloud
Map end-to-end data journeys Collect and prepare raw datasets Transform data using standard SQL Build automated pipelines using Dataflow and Pub/Sub Clean and summarize large datasets Join disparate multi-source data Process high-volume streaming data using Dataproc Apply advanced data transformation strategies
4
Day 4– Visualization and Data Storytelling
Explain data visualization business value Translate complex stakeholder data requests Create professional wireframes and mockups Use Looker and LookML tools Access cloud data using Looker Design interactive business intelligence dashboards Foster enterprise data-driven collaboration Tell compelling stories with data
5
Day 5– Capstone: Real-World Data Analysis
Assess complex business data requests Plan end-to-end cloud data projects Apply expert Data Analytics in Google Cloud Platform skills Generate professional portfolio-ready outputs Use Generative AI in data analysis Practice high-impact data presentation Deploy an end-to-end analytics solution using BigQuery ML and Vertex AI Prepare for Google Cloud Professional Data Engineer certification

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

88%

of Data Analytics in Google Cloud Platform certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Data Analytics in Google Cloud Platform certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Data Engineer
  • Analytics Engineer
  • Cloud Data Engineer
  • Data Architect
  • Machine Learning Engineer
  • Data Platform Engineer

Companies Hiring

5,000+
Google Spotify Twitter Snap Capgemini Slalom Ernst & Young IBM PayPal Deloitte

and 5,000+ organizations worldwide seeking Data Analytics in Google Cloud Platform certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

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    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

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  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

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  • ★★★★★

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    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

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    Security Analyst

    SC-300 Certified ✓ Verified
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    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

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    AI Engineer

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    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

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    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
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