Exploring and Preparing your Data with BigQuery

Online Course Highlights

Google via Coursera
Learn for FREE, Up-gradable
13 hours of effort required
47,821+ already enrolled!
★★★★★(2,666 Ratings)

In this course, you will get to understand the common challenges that are faced by data analysts in detail. The aim of this course is to help you understand how to overcome these challenges using big data tools on Google Cloud Platform. Along the way, you will also pick up some SQL and become familiar with using BigQuery and Cloud Dataprep for analyzing and transforming your datasets. Upon completing this course, you will be able to query and draw insight from millions of records in the BigQuery public datasets. Then you will be taught how to assess the quality of your datasets and develop an automated data cleansing pipeline which will output to BigQuery.

Online Course Effectiveness Score (Learn More)
Content	Engagement	Practice	Career Benefit
Excellent ★★★★★	Excellent ★★★★★	Good ★★★★☆	Good ★★★★☆

Feedback

In this section, we are going to take a look at the feedback which users have given about this course. Here you are going to find both positive and negative feedback which users have given about this course.

Positive Feedback

I can say that this is the best ever course I have taken on Coursera. The lectures, the demonstration, labs and everything else was amazing. I also loved the humor of the instructor. I am hoping to enroll in another course by the same instructor (Iijun I, ★★★★★).
This was a thoroughly instructed course that progresses ideally in bite-sized modules. What I appreciate the most about this course was the videos and the transcripts as well (Norman LM, ★★★★★).
A very enlightening and well structured course that had so much to offer. My favorite part was the labs and completing this course has left me with a lot of valuable information (Leonardo PG, ★★★★★).
After completing this course, I can say that it was a well organized and well structured course and is suitable for those who have a little knowledge of SQL. The information shared was easy to understand yet important (Dan O, ★★★★★).
This is the most basic course that anyone can take on data analysis. It explains the basic elements that Google Cloud has to offer in a very clear manner (Aditi Y, ★★★★★).
The course has a succinct overview of SQL, Big Query, Cloud, Data flow, Data prep, and Data fusion. The 4-5 hours of this course was a fun journey for me (Prithvi B, ★★★★★).
The lab exercises were great to try out and covered all the material in the course (Stefan P, ★★★★★).
This course has a very easy and nice introduction to Big Query and revision of SQL basics was also a good section. I can definitely recommend this course to those who are interested in SQL or BigQuery as this course has so much to offer (Chariton C, ★★★★★).

Negative Feedback

Only the last lab was interesting otherwise the previous labs and also the lessons were quite boring for someone who already knows about SQL (Radoslaw O, ★★☆☆☆).

More Related Courses:

Architecting with Google Kubernetes Engine Specialization

- - Google Cloud Training via Coursera
  - 2 Months (12 hours weekly) of effort required
  - 33,879+ already enrolled!
  - ★★★★★ (40,116 Reviews)

Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization

- - Google Cloud Training via Coursera
  - 3 Months (5 hours weekly) of effort required
  - 32,786+ already enrolled!
  - ★★★★★ (3,572 Reviews)