Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
10 Hour(s) 26 Minute(s)
Language
English
Taught by
Ankit Mistry : 200,000+ Students, Ajay Gadhave
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Prepare for Google Cloud Data Practitioner | BigQuery, Dataproc, Dataform, Cloud Composer, Looker Studio, Dataflow
This course is a comprehensive, hands-on learning path designed to help you prepare for the Google Cloud Associate Data Practitioner Certification, following the structure and objectives outlined in the official exam guide.
The certification targets individuals working with data in the cloud, requiring foundational skills in managing, processing, analyzing, and visualizing data using Google Cloud technologies.
In this course, you’ll learn to confidently work across various GCP services and develop a clear understanding of their practical use in end-to-end data workflows.
Key Focus Areas:
Data Preparation and Ingestion: Learn to differentiate between ETL, ELT, and ETLT, clean and transform datasets, and work with tools like Cloud Data Fusion and BigQuery.
Data Analysis and Visualization: Use BigQuery to explore datasets, interpret analytical results, and build impactful dashboards with Looker Studio. Learn to utilize BigQuery ML and AutoML for predictive insights.
Data Pipeline Orchestration: Implement and schedule data pipelines using Cloud Composer (Apache Airflow), Dataflow (Apache Beam), Dataform, and Dataproc.
Data Management: Understand when to use Cloud Storage, BigQuery, Cloud SQL, Firestore, Bigtable, Spanner, and AlloyDB, including considerations around cost, scale, and performance.
This course blends theory with practical labs, real-world scenarios, and project-based exercises to help you internalize concepts and gain confidence.
Whether you're aiming to clear the exam or build a strong data foundation in GCP, this course provides everything you need to succeed.
Course Content
- 13 section(s)
- 76 lecture(s)
- Section 1 Introduction
- Section 2 ------------ Part 1: Data Preparation and Ingestion ------------
- Section 3 ------------ Part 2: Data Analysis and Presentation -----------
- Section 4 ------------ Part 3: Data Pipeline Orchestration --------------
- Section 5 [Hands-on] Google Cloud Composer
- Section 6 [Hands-on] Google Cloud Dataproc
- Section 7 [Hands-on] Google Cloud Dataflow
- Section 8 [Hands-on] Google Cloud Dataform
- Section 9 [Hands-on] Google Cloud Data Fusion
- Section 10 [Hands-on] Google Cloud Eventarc
- Section 11 ------------ Part 4: Data management --------------
- Section 12 Practice Tests
- Section 13 Thank You
What You’ll Learn
- Understand the core services and tools used in Google Cloud for data management, analytics, and orchestration
- Design and implement data pipelines using BigQuery, Cloud Composer, Dataflow, Dataform, and Dataproc
- Perform data preparation, transformation, and ingestion using Cloud Data Fusion and BigQuery
- Analyze and visualize data using BigQuery, Looker Studio, and BigQuery ML
- Understand the differences and use cases of data storage options like BigQuery, Cloud Storage, Firestore, Cloud SQL, Bigtable, and Spanner
- Apply ETL, ELT, and ETLT concepts in real-world cloud data workflows
- Build, schedule, and monitor data workflows using Cloud Composer (Apache Airflow)
- Gain hands-on experience through labs aligned with the official certification exam guide
- Prepare effectively for the Google Cloud Associate Data Practitioner certification exam
Skills covered in this course
Reviews
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VVera
Some of the videos have been really helpful and helped me to understand the key concepts. However, the practice exams were a bit confusing because even though I got a few questions correct, I was told I got it wrong... and furthermore, the explanation was contradictory. Eg. My answer 'A' was marked as wrong, but the explanation said 'A' is correct!! So it was very confusing and made me lose trust. Anyway, I passed the exam, partly due to the videos/lectures here and partly due to me getting another course on Udemy for the practice questions.
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LLucas Bussular
This was really a helpfull and precise course. The exam is quite similar to the exam simulations and the backup material was really helpfull.
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SShamikh Sheikh
Very well explained and focuses on key differentiators. Helpful from an exam perspective.
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SShea TG
While the creator attempts to demonstrate things with a hands-on approach, he does it in a random manner - does not seem to value candidate's time. He is disorganized. He experiments with all kinds of errors-tries to figure out on how to fix it through the live session. Makes no sense. The creator needs to be better prepared with the demos, he fumbles through several topics, edits on a random basis and creates confusion. Further, the creator has a crazy habit of marking every presentation slide with red marker - making it difficult to view the live screens. Also, he seems to waste time dragging simple topics. I had to drop out within 3 days, sign up for another course and clear the exam.
