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.
Dieser Kurs ist Teil der Spezialisierung Google-Datenanalyse Zertifikat über berufliche Qualifikation
von
Über diesen Kurs
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.
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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
Kompetenzen, die Sie erwerben
- 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.
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Lehrplan - Was Sie in diesem Kurs lernen werden
Data types and structures
Bias, credibility, privacy, ethics, and access
Databases: Where data lives
Organizing and protecting your data
Bewertungen
- 5 stars80,86 %
- 4 stars15,85 %
- 3 stars2,38 %
- 2 stars0,41 %
- 1 star0,47 %
Top-Bewertungen von PREPARE DATA FOR EXPLORATION
There is no alternative to discuss doubts with anyone except for discussion board which is not that interactive as well. Many doubts and many queries remain unanswered. Course is good so far.
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.
Too many obvious information for a person who has prior experience with data. Please cut the course short for those who already have grip over these concepts. Anyways, it is helpful and great.
Excellent course, learned a lot useful skills, the most I enjoyed was the basics of SQL and also the different media platforms like Kaggle and Github.
Also very good presentations from the tutor.
Über den Google-Datenanalyse Zertifikat über berufliche Qualifikation

Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Was bekomme ich, wenn ich dieses Zertifikat abonniere?
What is data analytics?
Why start a career in data analytics?
Why enroll in the Google Data Analytics Certificate?
What background is required?
Do you need to be strong at math to succeed in this certificate?
What tools and platforms are taught in the curriculum?
Which “spreadsheet” platform is being taught?
Do you need to take each course in order?
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