Google Data Science Certification is a suite of multidisciplinary domains like Data Engineering, Machine Learning, etc. to make the most out of data insights for business purposes globally. Candidates can avail the benefits of the Data Science Toolkit like Orchestration, Data Preprocessing, Data Lake, Responsible AI, etc. from Google Cloud.
Data Science Courses can be pursued at Certification, Diploma, Undergraduate and Postgraduate levels of study. Data Science Certifications are the most popular courses among all the levels in Data Science studies which are categorized and well-designed for Students, Working professionals, and Business executives.
Apart from the Google Data Science Certification, Microsoft Data Science Certification and the IBM Data Science Professional Certificate are other popular certifications to pursue in the field to get an expertise credit. But, the advantage to pursue Google Data Science Certification is that it offers benefits like lifetime access to all the cloud platform products, no auto-charge for certification after the trial ends, Data Science Toolkit, etc.
Candidates can also pursue Google Professional Data Engineer Certification and a few more Professional Data Science Certifications which are taught by industry experts in the domain of Machine Learning and Artificial Intelligence. These courses cover a vast area of Data Science such as Big Data, TensorFlow, ML Pipelines, MLOPs, etc.
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Table of Content
- All About Google Data Science Certification
- What is Data Science on Google Cloud?
- Data Science Toolkit on Google Cloud
- How to be a Certified Data Scientist?
- Google Professional Data Engineer Certification
- Machine Learning and Artificial Intelligence by Google
6.1 Big Data & Machine Learning Fundamentals
6.2 Machine Learning on Google Cloud
6.3 Advanced Machine Learning with TensorFlow on Google Cloud Platform
All About Google Data Science Certification
| Course Level | Certification |
| Eligibility | Anyone can enroll for the certification |
| Platform to Learn | Google Cloud |
| Course Offerings | Reference patterns for industrial uses, Training for Data Scientists, Codelabs, etc. |
| Key Products Offered | Data Fusion, Cloud Storage, Vertex AI, Auto ML, Cloud Composer, etc. |
What is Data Science on Google Cloud?
A comprehensive suite of data management, analytics, and machine learning tools to generate data insights. Data science is the practice of unlocking value from data.
From data engineering to ML engineering, TensorFlow to PyTorch, GPUs to TPUs, data science on Google Cloud helps your business run faster, smarter, and globally.
Check: Data Science and Machine Learning
Data Science Toolkit on Google Cloud
Google Cloud offers a variety of Data Science solutions with various key products under each workload domain. Below we have provided a detailed tabular representation of the Data Science Toolkit on Google Cloud.
| Workload | Data Science Solutions Offered | Key Products Offered |
|---|---|---|
| Machine Learning Training and Serving | Accelerate ML deployment for all levels of expertise | Vertex AI, AutoML, Spark on Google Cloud and BigQuery ML |
| Data Preprocessing | Preprocess your data with speed, scale, and ease | Dataflow and Dataproc |
| Orchestration | AI governance through workflows | Vertex AI Pipelines, Cloud Composer and Vertex ML Metadata |
| Data Discovery and Ingestion | Discover and ingest valuable data sources | Data Fusion, Data Catalog, Pub/Sub, BigQuery Data and Transfer Service |
| Responsible AI | Build AI that works for everyone | Explainable AI, Model cards and TensorFlow open-source toolkit |
| Data Lake and Data Warehouse | Speed, capacity, and governance at scale | BigQuery, Cloud Storage, Dataproc and Dataplex |
| Data Analysis and Business Intelligence | Drive business decisions through data | Looker, BigQuery, Vertex AI Workbench and Data Studio |
Check: Free Data Science Courses
How to be a Certified Data Scientist?
To become a Certified Data Scientist, one must be a graduate or postgraduate in the field. After that, a candidate becomes eligible to pursue Professional Data Science Certifications to become a Certified Data Scientist.
Below we have enlisted some top courses to become a Certified Data Scientist:
- Google Professional Data Engineer Certification
- Microsoft Data Science Certification
- Cloudera Certified Professional (CCP) Data Engineer
- Certified Analytics Professional (CAP)
- IBM Data Science Professional Certificate
Google Professional Data Engineer Certification
Google offers a Professional Data Engineer Certification along with an examination conducted for the same. In this Professional Data Engineer Certification, students get training on machine learning models.
Check the further certification details in the following sections:
Certification Exam Details
- Duration: 2 hours
- Languages Available: Japanese and English
- Registration Cost: INR 14,966 (with additional taxes)
- Eligibility Requirements: None
- Required Experience: At least 3 years of Industrial experience including more than a year of experience working with managing and designing solutions using Google Cloud.
- Examination Format: MCQs
- Examination Mode: Online at a Test Center nearby the candidate’s location
Learning Outcomes
| Build and operationalize data processing systems | Design data processing systems |
| Ensure solution quality | Operationalize machine learning models |
Check: Python for Data Science
Machine Learning and Artificial Intelligence by Google
Google Cloud Platform currently offers 5 certification courses in Machine Learning and Artificial Intelligence disciplines with Laboratory sessions, quizzes, and course content documents. The course levels are from Intermediate to Expertise in the field of AI and ML that cover a broad area of Data Science.
Below we have provided detailed information about each Machine Learning and Artificial Intelligence Course by Google Cloud.
Check: BSc Data Science
Big Data & Machine Learning Fundamentals
Google Cloud Big Data and Machine Learning Fundamentals bring insight into the students about the big data potentials of Google Cloud by using interactive ways of learning like lab works, PPTs, and demonstrations. Check the further course details below:
Course Details
- Course Level: Advanced
- Total Credits: 25
- Total No. of Modules: 5
- Total Labs: 5 (1 Lab per module)
- Total Quizzes: 5 (1 Quiz per module)
Course Syllabus
| Module Name | Total No. of Videos | Total No. of Documents |
|---|---|---|
| Introduction to the Google Cloud Big Data and Machine Learning Fundamentals Course | 12 videos | 2 documents |
| Recommending Products using Cloud SQL and Spark | 8 videos | 1 document |
| Predict Visitor Purchases Using BigQuery ML | 13 videos | 2 documents |
| Real-time IoT Dashboards with Pub/Sub, Dataflow, and Data Studio | 8 videos | 1 document |
| Deriving Insights from Unstructured Data using Machine Learning | 10 videos | 2 documents |
| Summary | 1 video | - |
| Course Resources | - | 1 document |
Check: BCA Data Science
Machine Learning on Google Cloud
How Google Does Machine Learning is the first introduced course in Machine Learning on the Google Cloud platform where students get a brief insight into Artificial Intelligence, Machine Learning, Python Notebooks, etc. Check the further course details in the following sections:
Course Details
- Course Level: Advanced
- Course Duration: 1 Day
- Total Credits: 10
- Total No. of Modules: 5
- Total Labs: 2
- Total Quizzes: 8
Course Syllabus
| Module Name | Total No. of Videos | Total No. of Documents |
|---|---|---|
| Welcome to Machine Learning on Google Cloud | 3 videos | 1 document |
| What It Means To Be AI First | 23 videos | 1 document |
| How Google Does ML | 8 videos | 1 document |
| Inclusive ML | 6 videos | 1 document |
| Introduction to Python Notebooks in the Cloud | 7 videos | 2 documents |
| Summary | 1 video | - |
| Course Resources | - | 2 documents |
Check: SQL for Data Science
Advanced Machine Learning with TensorFlow on the Google Cloud Platform
Production Machine Learning Systems is an expert-level course on Google Cloud that teaches a brief knowledge about architecting production machine learning systems, building hybrid machine learning systems, etc. Check the further course details in the following sections:
Course Details
- Course Level: Expert
- Total Credits: 40
- Total No. of Modules: 5
- Total Labs: 8
- Total Quizzes: 4
Course Syllabus
| Module Name | Total No. of Videos | Total No. of Documents |
|---|---|---|
| Introduction to Advanced Machine Learning on Google Cloud | 2 videos | - |
| Architecting Production ML Systems | 9 videos | 1 document |
| Designing Adaptable ML Systems | 16 videos | 1 document |
| Designing High-Performance ML Systems | 15 videos | 1 document |
| Building Hybrid ML Systems | 8 videos | 1 document |
| Summary | 1 video | 4 documents |
Check: Data Science Courses Online
MLOps (Machine Learning Operations) Fundamentals
MLOps (Machine Learning Operations) Fundamentals is a certification course on Google Cloud that offers a brief knowledge about Machine Learning fundamentals like Kubeflow Pipelines on Artificial Intelligence, Employing MLOPs, AI Pipelines, etc. Check the further course details in the sections below:
Course Details
- Total Credits: 31
- Total No. of Modules: 7
- Total Labs: 7
- Total Quizzes: 16
Course Syllabus
| Module Name | Total No. of Videos |
|---|---|
| Introduction to MLOps Fundamentals | 1 video |
| Why and When to Employ MLOps | 3 videos |
| Understanding the main Kubernetes components (Optional) | 25 videos |
| Introduction to AI Platform Pipelines | 6 videos |
| Training, Tuning, and Serving on AI Platform | 8 videos |
| Kubeflow Pipelines on AI Platform | 8 videos |
| CI/CD for Kubeflow Pipelines on AI Platform | 5 videos |
| Summary | 1 video |
Check: Data Science Course Syllabus
ML Pipelines on Google Cloud
ML Pipelines on Google Cloud is an expert-level certification taught by experienced ML Trainers and Engineers working with the Google Cloud Platform. In this course, students will learn about ML Metadata with TFX, AI Platform Pipelines, TFX Pipelines, etc. Check the further course details in the section below:
Course Details
- Course Level: Expert
- Total Credits: 30
- Total No. of Modules: 8
- Total Labs: 6
Course Syllabus
| Module Name | Total No. of Videos | Total No. of Documents |
|---|---|---|
| Introduction | 1 video | 1 |
| Introduction to TFX Pipelines | 7 videos | - |
| Pipeline orchestration with TFX | 4 videos | - |
| Custom components and CI/CD for TFX pipelines | 4 videos | - |
| ML Metadata with TFX | 3 videos | - |
| Continuous Training with multiple SDKs, KubeFlow & AI Platform Pipelines | 5 videos | - |
| Continuous Training with Cloud Composer | 6 videos | - |
| ML Pipelines with MLflow | 9 videos | - |
| Summary | 1 video | - |
Google Data Science Certification: FAQs
Ques. How do I get a job as a google data scientist?
Ans. Candidates should possess good coding knowledge, real-time experience, and good maths knowledge, and also should be skilled enough to get a job as a google data scientist.
Ques. Is a certificate in data science worth it?
Ans. Data science has various job opportunities in the industry and candidates who possess certificates in data science are added advantage to secure a job easily.
Ques. Does google hire a data scientist?
Ans. Yes, google hires data scientists who are good at technical skills and also good at evaluating google products.
Ques. What does a data scientist at google do?
Ans. He is responsible for evaluating and improving google products
Ques. How does certification in google data science help students or learners?
Ans. Opting for google data science certification courses helps students acquire all the required skills that they need to know to work and work as a data scientist.
Ques. What companies hire data, and science students?
Ans. Google, Microsoft, Apple, Adobe, Datarobot, etc are a few top companies that hire data, and science students.
Ques. Is data science a good career?
Ans. Data science is a trending career and according to research, data science students are paid more than any other job.
Ques. What are the top jobs available for data science students?
Ans. Data scientist, application analyst, data analyst, application developer, and Application architect are few top jobs for students who hold data science certification.
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