Google Cloud via Coursera |
Go to Course: https://www.coursera.org/learn/gcp-creating-bigquery-datasets-visualizing-insights
### Course Review: Creating New BigQuery Datasets and Visualizing Insights In today’s data-driven world, having the ability to analyze and visualize data effectively is an invaluable skill. The Coursera course, **Creating New BigQuery Datasets and Visualizing Insights**, is an excellent resource for anyone looking to strengthen their data analysis capabilities, especially using Google BigQuery and Looker Studio. This course is part of the Data to Insights series and serves as the perfect continuation for those who have a foundational understanding of SQL and wish to expand their practical skills in data ingestion and visualization. #### Course Overview The course is structured neatly, guiding learners through the essential components of data management in BigQuery and culminates in creating insightful dashboards with Looker Studio. Here’s what you can expect to learn: - **Ingesting New Datasets:** You will begin by mastering how to load and create new datasets in BigQuery, an essential first step in data analysis. - **Intermediate SQL Concepts:** As you progress, the course delves into advanced SQL concepts, such as multi-table JOINs and UNIONs. This will enable you to perform complex analyses across various data sources. - **Data Visualization:** The course wraps up with practical instruction on using Looker Studio to create dashboards and visualizations that bring your data stories to life. #### Syllabus Breakdown 1. **Course Introduction:** The introduction sets the stage well, outlining what you are expected to learn. It builds anticipation for the interesting topics ahead. 2. **Storing and Exporting Data:** Here, you learn how to create both permanent and temporary tables from your query results. This module is vital for anyone looking to manipulate data efficiently. 3. **Ingesting New Datasets into BigQuery:** This section focuses on loading external datasets, a crucial skill in today’s environment where data is continuously being generated and needs to be leveraged for insights. 4. **Joining and Merging Datasets:** You will gain an in-depth understanding of SQL JOINs and UNIONs. This knowledge is crucial for anyone who needs to integrate multiple data sources seamlessly. 5. **Data Visualization:** The highlight of the course is undoubtedly this module, where you get hands-on experience in creating dashboards and visualizations with Looker Studio. This practical aspect ensures you can apply what you’ve learned in real-world scenarios. 6. **Course Summary:** Finally, the course wraps up with a summary that reinforces key learning points, ensuring that the most critical concepts are cemented in your memory. #### Recommendation This course is highly recommended for individuals who already have a foundation in SQL but want to elevate their skill set to work specifically with Google BigQuery and data visualization techniques. The insights gained from this course are applicable across various industries, making it an excellent investment for professionals and casual learners alike. #### Key Takeaways - **BigQuery Specifics:** Even seasoned SQL practitioners will benefit from learning BigQuery's unique features such as handling query caches and using table wildcards. - **Practical Application:** The course emphasizes hands-on experience, ensuring that you leave with a tangible skill set you can apply immediately. - **Comprehensive Content:** The course structure methodically builds on each concept, allowing for a seamless learning experience. In conclusion, if you’re looking to enhance your data analysis abilities and learn how to effectively visualize insights with Looker Studio, this course on Coursera is a must-try. Not only will it provide you with essential tools and knowledge, but it will also prepare you to tackle real-world data challenges with confidence. Happy learning!
Course Introduction
Overview of what you will learn in this course
Storing and Exporting DataCreate new permanent and temporary tables from your query results
Ingesting New Datasets into BigQueryLoad and create new datasets inside BigQuery
Joining and Merging DatasetsUnderstand the differences between SQL JOINs and UNIONs and when to use each
Data VisualizationCreate dashboards and visualizations with Looker Studio
Course SummarySummary of the course ley learning points
This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources. Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you. After completing this course, enr
This course is an excellent continuation to the one prior and builds upon data analysis skills through GCP tools in an informational, easily digestible, and fascinating manner.
Great course! The course helped me get great insight into BigQuery and SQL and how various visualisations are done on Google Studio. Looking forward to the next course!
Couldn't see the irs_990 schema cause the dataset was missing for this tables on bigquery. Curiously the examples worked even though I couldn't see the dataset.
Good course to practice working with queries more in-depth and covers interesting topics on data visualization.
Creating New BigQuery Datasets and Visualizing Insights it is very tough but by following the videos and labs helped me lot