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Put It All Together

Prepare for a Cloud Data Analyst Job

Google Cloud Training

4.6

Based on 22 ratings

, see reviews

Google Cloud Training

You made it! This is the fifth and final course of the Google Cloud Data Analytics Certificate. There’s no time like the present to start preparing for your job as a Cloud Data Analyst. Let's polish up that resume and refine those interview skills to allow you to show up with confidence for your interview!

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What's inside

Syllabus

Introduction: Prepare for a cloud data analyst job

Launch your data analytics career with confidence! This module unlocks a treasure trove of resources to help you navigate the job market. You'll cover resume pointers and interview strategies that will help you stand out in the job market.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Designed for learners seeking a role as a Cloud Data Analyst

Prepares learners for a successful data analytics career

Teaches resume writing techniques

Includes resume review as part of the curriculum

Offers interview preparation techniques and strategies

Features a capstone project that combines previous learning and builds a portfolio piece

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Reviews summary

Cloud data analyst job prep & capstone

According to students, this course is a highly valuable and practical culmination of the Google Cloud Data Analytics Certificate, especially praised for its job preparation content and the capstone project. Learners found the modules on resume polishing and interview strategies to be particularly helpful and actionable for securing a Cloud Data Analyst role. The hands-on capstone project is frequently highlighted as a strong portfolio piece, essential for demonstrating skills. While some note that it requires a solid foundation from previous courses, the optional Generative AI module is considered a timely and relevant addition, enhancing the course's practical utility for career seekers.

Builds heavily on previous courses in the series.

"This course is definitely not a standalone; you need to have completed the previous courses to truly benefit."

"I struggled a bit at first because I hadn't thoroughly reviewed concepts from earlier in the certificate."

"Ensure you have a solid grasp of concepts from the preceding courses before attempting this one."

Relevant, timely, but brief overview.

"The optional introduction to Generative AI was a pleasant surprise and very relevant for today's job market."

"I enjoyed the Generative AI module, though it was quite brief, offering just a high-level overview."

"It's great that Google included content on Generative AI; it shows they're keeping the course current."

Well-organized and easy to follow.

"The course structure is well-paced and easy to navigate, making it a smooth transition from previous modules."

"I found the content clear and concise, effectively tying together all the concepts from the specialization."

"It's a very streamlined course that logically concludes the entire data analytics certificate."

Valuable advice on resumes and interviews.

"The resume pointers and interview strategies provided were incredibly practical and specific to cloud data roles."

"I appreciated the focus on job readiness; the tips on interview techniques boosted my confidence significantly."

"This course delivers actionable insights for job hunting, making it a crucial final step for the certificate."

Practical, essential for portfolio building.

"The capstone project was the absolute highlight, allowing me to synthesize everything and create a tangible portfolio piece."

"I found the capstone challenging yet incredibly rewarding; it's exactly what I needed to showcase my data analysis skills."

"This project is a strong selling point for job applications. It effectively prepares you for real-world scenarios."

Some encountered slow forum responses.

"I occasionally found the forum support to be slow when I had specific questions about the capstone."

"Sometimes getting answers on the discussion boards took longer than expected, which was a bit frustrating."

"More active moderation or quicker replies in the forums would improve the learning experience."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Put It All Together: Prepare for a Cloud Data Analyst Job with these activities:

Read "Data Analytics with Hadoop" by Tom White

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This book provides a comprehensive overview of Hadoop and its ecosystem, which will be essential knowledge for this course.

View Hadoop: The Definitive Guide: Storage and... on Amazon

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Spend 90 minutes reading chapters 1-3.
Spend 90 minutes reading chapters 4-6.
Spend 120 minutes reading chapters 7-9.

Review basic SQL syntax and practice writing queries

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This course heavily relies upon SQL for data retrieval and modification. Brushing up on these skills before the course begins will greatly improve your experience.

Browse courses on SQL

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Spend 60 minutes reviewing the basics of SQL syntax.
Spend 30 minutes practicing writing queries to retrieve data from a sample database.
Spend 30 minutes practicing writing queries to insert, update, and delete data in a sample database.

Follow online tutorials on MapReduce and Hive

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These technologies are essential for working with large datasets in this course.

Browse courses on MapReduce

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Spend 60 minutes completing a tutorial on MapReduce.
Spend 60 minutes completing a tutorial on Hive.

Five other activities

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Create a cheat sheet of SQL commands and functions

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Having a quick reference guide will enhance your ability to use SQL throughout this course.

Browse courses on SQL

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Spend 30 minutes gathering a list of essential SQL commands and functions.
Spend 30 minutes organizing the commands and functions into a logical format for a cheat sheet.

Practice writing HiveQL queries

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HiveQL is the query language for Hive. Practicing writing queries will help you master this essential skill.

Browse courses on Hive

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Spend 45 minutes completing a set of practice exercises on writing HiveQL queries.
Spend 45 minutes completing a set of challenge exercises on writing HiveQL queries.

Attend a study session with other students in the course

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Collaborating with other students can help you solidify your understanding of the material and learn from each other.

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Spend 45 minutes reviewing course material with a group of students.
Spend 45 minutes working on practice problems or projects together.

Help other students in the course by answering their questions in the discussion forum

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Helping others can reinforce your own understanding of the material.

Browse courses on Mentoring

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Spend 30 minutes reading through discussion forum posts.
Spend 30 minutes answering at least 3 questions posted by other students.

Build a simple data pipeline using Hadoop and Hive

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This project will allow you to apply the skills you have learned in this course to a real-world scenario.

Browse courses on Hadoop

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Spend 60 minutes designing the data pipeline.
Spend 120 minutes implementing the data pipeline using Hadoop and Hive.
Spend 60 minutes testing the data pipeline and verifying the results.

Career center

Learners who complete Put It All Together: Prepare for a Cloud Data Analyst Job will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Put It All Together: Prepare for a Cloud Data Analyst Job.

The Grammar of Graphics

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Seminal work on the grammar of graphics, a formal language for describing data visualizations. It covers a wide range of topics, from the basics of the grammar of graphics to the use of the grammar of graphics to create a variety of charts and graphs.

The Grammar of Graphics (Statistics and Computing)

Hardcover

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The Grammar of Graphics (Statistics and Computing)...

Paperback Bunko

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