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Exploring ​and ​Preparing ​your ​Data with BigQuery

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Take this course as a part of From Data to Insights with Google Cloud Platform and save 10% off. (Get details)

Welcome to the Coursera specialization, From Data to Insights with Google Cloud Platform brought to you by the Google Cloud team. I’m Evan Jones (a data enthusiast) and I’m going to be your guide. This first course in this specialization is Exploring and Preparing your Data with BigQuery. Here we will see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud Platform. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Cloud Dataprep to analyze and transform your datasets. This course should take about one week to complete, 5-7 total hours of work. By the end of this course, you’ll be able to query and draw insight from millions of records in our BigQuery public datasets. You’ll learn how to assess the quality of your datasets and develop an automated data cleansing pipeline that will output to BigQuery. Lastly, you’ll get to practice writing and troubleshooting SQL on a real Google Analytics e-commerce dataset to drive marketing insights. >>> 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 <<

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Rating Not enough ratings
Length 2 weeks
Effort 1 week of study, 5-7 hours/week
Starts Feb 10 (6 weeks ago)
Cost $50
From Google Cloud via Coursera
Instructor Google Cloud Training
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science IT & Networking
Tags Data Science Data Analysis Information Technology Data Management

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Coursera

&

Google Cloud

Rating Not enough ratings
Length 2 weeks
Effort 1 week of study, 5-7 hours/week
Starts Feb 10 (6 weeks ago)
Cost $50
From Google Cloud via Coursera
Instructor Google Cloud Training
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science IT & Networking
Tags Data Science Data Analysis Information Technology Data Management

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