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.
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About this Course
No experience with spreadsheets or data analytics is required. All you need is high-school level math skills and a curiosity about how things work.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Explain factors to consider when making decisions about data collection
Discuss the difference between biased and unbiased data
Describe databases with references to their functions and components
Describe best practices for organizing data
Skills you will gain
- Spreadsheet
- Metadata
- Data Collection
- Data Ethics
- SQL
No experience with spreadsheets or data analytics is required. All you need is high-school level math skills and a curiosity about how things work.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Data types and structures
Bias, credibility, privacy, ethics, and access
Databases: Where data lives
Organizing and protecting your data
Reviews
- 5 stars81.01%
- 4 stars15.72%
- 3 stars2.35%
- 2 stars0.42%
- 1 star0.49%
TOP REVIEWS FROM PREPARE DATA FOR EXPLORATION
Excellent course that provides a robust introduction to working with databases with Google sheets and SQL. Covers bias and data privacy as well. Gives clear definitions and is well taught and paced.
I liked that some assignments had me use SQL and get more comfortable using it. However I would have liked more assignments using SQL and Sheets to get more practice. Otherwise was pretty fun.
Was an excellent way to start with a Data Analytics course without having a background.
Guided activities were the best way to understand how to practically work on data in a practical scenario.
What a great introduction to data analytics! This seems like it would be an excellent addition to the Work Based Learning Curriculum offered to NYC DOE students for their CDOS/CTE credentials.
Frequently Asked Questions
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Why enroll in the Google Data Analytics Certificate?
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What tools and platforms are taught in the curriculum?
Which “spreadsheet” platform is being taught?
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