Google Cloud via Coursera |
Go to Course: https://www.coursera.org/learn/gcp-exploring-preparing-data-bigquery
### Course Review: Exploring and Preparing Your Data with BigQuery from Google Cloud In today’s data-driven world, the ability to effectively analyze and derive insights from data is a paramount skill for professionals across numerous fields. For those aiming to harness big data tools and elevate their data analytics prowess, I highly recommend the course "Exploring and Preparing Your Data with BigQuery" offered by Google Cloud on Coursera. This course serves as the first step in the "From Data to Insights with Google Cloud" series, allowing learners to master key concepts while working with one of the industry’s leading data platforms—BigQuery. #### Course Overview “Exploring and Preparing Your Data with BigQuery” is designed to address the common challenges faced by data analysts and equips them with practical tools to solve these issues using Google Cloud’s big data capabilities. Throughout the course, participants will acquire foundational knowledge in SQL, gain hands-on experience with BigQuery and Dataprep, and ultimately become proficient at transforming and analyzing large datasets. #### Syllabus Breakdown 1. **Welcome to From Data to Insights with Google Cloud: Exploring and Preparing Your Data** - The introductory module sets the stage by outlining the course objectives, technologies, and the overarching learning goals. 2. **Module 1: Introduction to Data on Google Cloud** - Learners delve into the core principles of Google Cloud, providing a solid foundation for utilizing big data analysis effectively. 3. **Module 2: Big Data Tools Overview** - This module covers the major tools within the Google Cloud environment, preparing participants for the various analytical tasks they will encounter throughout the course. 4. **Module 3: Exploring Your Data with SQL** - Here, learners begin their journey with SQL, understanding how to write basic queries and practice directly within BigQuery. This hands-on experience is invaluable for developing a strong skill set in data retrieval. 5. **Module 4: BigQuery Pricing** - An essential part of any data analyst's toolkit is understanding cost management. This module demystifies how pricing in BigQuery works and provides strategies for optimizing query costs, which is crucial for any project. 6. **Module 5: Cleaning and Transforming Your Data** - Quality datasets are the foundation of meaningful analysis. This module emphasizes data cleaning and transformation techniques, teaching learners how to prepare their data for insights effectively. 7. **Module 6: Course Summary** - The final module recaps the key learning points of the course, reinforcing the knowledge gained and encouraging learners to apply it to their own projects. #### Why You Should Enroll This course is not only comprehensive but also highly practical. With a good mix of theoretical knowledge and hands-on exercises, it caters to both beginners and intermediate data analysts looking to solidify their understanding of Google Cloud tools. By the end of the course, learners will feel more confident in their ability to analyze, prepare, and visualize data effectively. Moreover, as this is the first course in the series, completing it opens doors to further advanced courses, including "Creating New BigQuery Datasets and Visualizing Insights," enabling a structured learning path to expertise in data analytics. #### Conclusion If you are eager to enhance your data analysis skills and prepare yourself for a future in the ever-evolving field of big data, I highly recommend enrolling in “Exploring and Preparing Your Data with BigQuery.” With its well-structured content and practical focus, it stands out as a valuable resource for anyone looking to leverage the power of Google Cloud in data analytics. Don't miss the chance to transform your data analysis journey and unlock deeper insights into your datasets. Sign up today!
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 CloudUnderstand the core principles behind Google Cloud and how to leverage them for big data analysis
Module 2: Big Data Tools OverviewLearn 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 SQLLearn how to query your data with the basics of SQL (Structured Query Language) and practice writing queries in BigQuery
Module 4: BigQuery PricingUnderstand how pricing works in BigQuery and how you can best optimize your queries
Module 5: Cleaning and Transforming your DataUnderstand the importance of creating high quality datasets and learn the tools that will help you transform your data
Module 6: Course SummarySummary of the course key learning points
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.
Excelente curso, muy buenas explicaciones. Tuve problemas para entrar al laboratorio, pero las explicaciones posteriores sirvieron para entender la ejecución.
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
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"
Broad overview on the use of BigQuery and learn for beginners to learn SQL in a ridiculously short amount of time, also to build a simple datapipeline to transform data
Very nice and simple overview; very helpful labs.\n\nSome of the labs where one has to write some SQL might need some more explanation if one is a complete beginner.