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Google による Prepare Data for Exploration の受講者のレビューおよびフィードバック



This is the third course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. As you continue to build on your understanding of the topics from the first two courses, you’ll also be introduced to new topics that will help you gain practical data analytics skills. You’ll learn how to use tools like spreadsheets and SQL to extract and make use of the right data for your objectives and how to organize and protect your data. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will: - Find out how analysts decide which data to collect for analysis. - Learn about structured and unstructured data, data types, and data formats. - Discover how to identify different types of bias in data to help ensure data credibility. - Explore how analysts use spreadsheets and SQL with databases and data sets. - Examine open data and the relationship between and importance of data ethics and data privacy. - Gain an understanding of how to access databases and extract, filter, and sort the data they contain. - Learn the best practices for organizing data and keeping it secure....




Thank you for the course! It's a nice introduction to SQL and Google Big Query as well as the concepts of data privacy and security. The course also offers some great tips for professional networking.



The lessons were easy to follow through and the explanantions were easy to understand. The hands-on practices also helped improve hands-on skills with the data analysis tools introduced in this course


Prepare Data for Exploration: 1276 - 1300 / 1,471 レビュー

by Владимир С


L​ector speaks too fast for me comparing to 2 previous courses in specialization

by Nitin V


How to use Kaggle similar to SQL in BigQuery should would have been more useful

by Sergio G


I would like to see more practice showing the theoretical definitions needed.

by Sylvia A


This course was amazing and the instructor is really good with the tutoring.

by Yufuko K


Excellent overall, but I feel like some concepts were not clearly explained.

by Francis K


great tuitors and great platform. i love the course structure and contents.

by Muhammad N b A H


Need more explanation on SQL syntax and example to use each of the syntax

by Sasitha W


It would be easier if the WEEK 3 contents were broken down for 2 weeks .

by Smita P


amazing course learned a lot would like to clarify some concepts more !

by Roshan P


The course was well organized. Only problem I had was running the SQL.

by Robert N


The next logical stop in the analytics certificate - enjoyable course!

by Saimon S


Good course but need some improvements in some section of this course.

by francisco s


The course is great, with a good balance between theory and practice.

by Muhammad S


It was really a well prepared course and presented in a well manner.

by Ray C S


Some of the videos went a little fast teaching the SQL in BigQuery.

by sara m


i feel if the course focused more on SQL, i would be more happier

by Mostafa A


Great course, may need more hands on activity within Spreadsheets

by Golam R M


Learnt quite a bit. Still enjoying. Hope to finish all 8 courses.

by miller l


great course many information to process, but is a great course.

by Michael M


This was the first course where I learned new technical content.

by Shahd J


need more explination because content of this course is complex

by Dhruv J


This Course was great, I got a lot to learn in data analytics.

by Chong Z S


Another great module to upskill my knowledge in data analytics

by Tessema T


we need more SQL practices as reality, specially for beginner

by Leif S


The course still jumps around a little too much for my liking