In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets.
This course is part of the From Data to Insights with Google Cloud Specialization
Exploring and Preparing your Data with BigQuery
About this Course
What you will learn
Query and draw insight from BigQuery public datasets.
Assess the quality of a dataset and develop an automated data cleansing pipeline that will output to BigQuery.
Write and troubleshoot SQL on a real Google Analytics e-commerce dataset to drive marketing insights.
Skills you will gain
- Google Cloud Platform
- Cloud Computing
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Syllabus - What you will learn from this course
Welcome to From Data to Insights with Google Cloud: Exploring and Preparing your Data
Learn the courses, content, and technologies that are part of this data analyst course series.
Module 1: Introduction to Data on Google Cloud
Understand the core principles behind Google Cloud and how to leverage them for big data analysis
Module 2: Big Data Tools Overview
Learn what are the key big data tools on Google Cloud that you will use to analyze, prepare, and visualize data
Module 3: Exploring your Data with SQL
Learn how to query your data with the basics of SQL (Structured Query Language) and practice writing queries in BigQuery
Module 4: BigQuery Pricing
Understand how pricing works in BigQuery and how you can best optimize your queries
Module 5: Cleaning and Transforming your Data
Understand the importance of creating high quality datasets and learn the tools that will help you transform your data
Module 6: Course Summary
Summary of the course key learning points
- 5 stars73.04%
- 4 stars22.85%
- 3 stars3.11%
- 2 stars0.57%
- 1 star0.40%
TOP REVIEWS FROM EXPLORING AND PREPARING YOUR DATA WITH BIGQUERY
This is a great course for the beginners. It really helped me to understand the basics of bBigQuery, its architecture,pricing model. Moreover I could get a real practice with it.
I think this is a rare example of good course for Google Cloud BigQuery. I would recommend this one instead of "Serverless Data Analysis with Google BigQuery and Cloud Dataflow"
This is a brilliant course for anyone who is in the analytics field and is new to GCP and wants to learn. I love easily Google teaches the concepts with very simple examples!
I love how this course was well structured. The labs helped excellently in getting hands-on experience with the tools. I highly recommend this one for starting out any analyzing with BigQuery
About the From Data to Insights with Google Cloud Specialization
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!
This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: ● Data Analysts, Business Analysts, Business Intelligence professionals ● Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
Frequently Asked Questions
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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Last Updated: September 1, 2015
Help! I can't find the course dataset in BigQuery
To get to the course dataset from within your Qwiklabs account, navigate to the below URL in your address bar. Be sure to save any existing queries as this will clear your query editor:
I do not have permission to view or create datasets
This normally occurs when your Qwiklabs account defaults to the Qwiklabs Resources project instead of your qwiklabs-gcp-123abc project. Try switching projects (https://cloud.google.com/bigquery/bigquery-web-ui) and re-running your query.
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