- Level Foundation
- المدة 8 ساعات hours
-
Offered by
عن
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 is the first course of the From Data to Insights with Google Cloud series. After completing this course, enroll in the Creating New BigQuery Datasets and Visualizing Insights course.
الوحدات
Introduction: From Data to Insights with Google Cloud course series
1
Videos
- Course series introduction
Data on Google Cloud
4
Videos
- Analytics challenges faced by data analysts
- Big data on-premises versus in the cloud
- Real-world use cases
- Google Cloud project basics
Module 1 Quiz
1
Assignment
- Introduction to Data on Google Cloud
Big data and Google Cloud tools
4
Videos
- Data analyst tasks and challenges and Google Cloud data tools
- 9 fundamental BigQuery features
- Walkthrough: Data architecture diagram
- Google Cloud tools for analysts data scientists and data engineers
Lab: Exploring a BigQuery Public Dataset
1
External Tool
- Lab: Exploring an Ecommerce Dataset using SQL in Google BigQuery
1
Videos
- Coursera: Getting Started with Google Cloud Platform and Qwiklabs
Module 2 Quiz
1
Assignment
- Big Data Tools Overview
Common data exploration techniques
2
Videos
- Introduction to the Google Analytics ecommerce dataset
- Common data exploration techniques
Code high-quality Standard SQL
5
Videos
- Query basics
- Introduction to functions
- Filters, aggregates, and duplicates
- Data types, date functions, and NULLs
- Wildcard filters with LIKE
Lab: Troubleshooting Common SQL Errors with BigQuery
1
External Tool
- Lab: Troubleshooting Common SQL Errors with BigQuery
Module 3 Quiz
1
Assignment
- Exploring your Data with SQL
BigQuery pricing
3
Videos
- BigQuery jobs
- Sizing and cost management
- Optimize queries for cost
Module 4 Quiz
1
Assignment
- BigQuery Pricing
Clean and transform your data
4
Videos
- 5 principles of dataset integrity
- Dataset shape and skew
- Clean and transform data using SQL
- Clean and transform data using a new UI: Introducing Dataprep
Lab: Explore and Create an Ecommerce Analytics Pipeline with Cloud Dataprep
1
External Tool
- Exploring and Creating an Ecommerce Analytics Pipeline with Cloud Dataprep
Create data pipelines with Data Fusion
3
Videos
- Components of Data Fusion
- Building a Pipeline
- Exploring Data using Wrangler
Lab: Creating Data Pipelines with Data Fusion
1
External Tool
- Lab: Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion
Module 5 Quiz
1
Assignment
- Module 5 Quiz
Course summary
1
Videos
- Course Summary
Auto Summary
"Exploring and Preparing your Data with BigQuery" is a foundational IT & Computer Science course on Coursera, taught by industry experts. It focuses on solving common data analysis challenges using Google Cloud's big data tools. Learners will gain proficiency in SQL, BigQuery, and Dataprep for data analysis and transformation. The course spans 480 minutes and offers various subscription options, including Starter, Professional, and Paid plans. Ideal for data analysts looking to enhance their skills in big data environments.