The virtual course "Preparing data for exploration - Virtual Course - Coursera", is a course with different contents and that offers video classes of . Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
This is the third Google Data Analytics Certificate course.
These courses will equip you with the skills necessary to apply for introductory-level data analyst jobs.
As you continue to develop your understanding of the topics in the first two courses, you will also be introduced to new topics that will help you gain practical data analysis skills.
You'll learn how to use tools like spreadsheets and SQL to extract and use the right data for your purposes, and how to organize and protect your data.
Current Google data analysts will continue to educate you and provide you with practical ways to perform common data analyst tasks with the best tools and resources.
Students who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts.
No previous experience is required.
At the end of this course, you will: - Discover how analysts decide what data to collect for analysis.
- Learn about structured and unstructured data, data types, and data formats.
- Find out 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 the importance of data ethics and data privacy.
- Gain an understanding of how to access databases and extract, filter, and classify the data they contain.
- Learn best practices for organizing data and keeping it secure.
- Find out 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 the importance of data ethics and data privacy.
- Gain an understanding of how to access databases and extract, filter, and classify the data they contain.
- Learn best practices for organizing data and keeping it secure.
- Find out 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 the importance of data ethics and data privacy.
- Gain an understanding of how to access databases and extract, filter, and classify the data they contain.
- Learn best practices for organizing data and keeping it secure.
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Data science, business and personal development. You can enroll in multiple courses at once, earn unlimited certificates, and learn in-demand job skills to start, grow, and even change careers.
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*You save up to USD$500 in 12 months, when you go from paying USD$59 for a monthly subscription, to an annual subscription with the promotion. The normal annual subscription is USD $399. With the promotion you will only pay USD $299. Find out everything by clicking the yellow button.
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