Prepare Data for Exploration

Instructor: Google Career Certificates

Beginner Level • 4 hours to complete • Flexible Schedule

What You'll Learn

  • ✓Explain what 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'll Gain

SQL
Data Literacy
Relational Databases
Databases
Data Quality
Data Management
Data Security
Data Cleansing
Metadata Management
Data analysis
Data Access
Data Collection
Data Ethics
Unstructured Data
Google Sheets

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Google

There are 5 modules in this course

A massive amount of data is generated every single day. In this part of the course, you will discover how this data is generated and how analysts decide which data to use for analysis. You’ll also learn about structured and unstructured data, data types, and data formats as you start thinking about how to prepare your data for analysis.

Before you work with data, you must confirm that it is unbiased and credible. After all, if you start your analysis with unreliable data, you won’t be able to trust your results. In this part of the course, you will learn to identify bias in data and to ensure your data is credible. You’ll also explore open data and the importance of data ethics and data privacy.

When you analyze large datasets, you’ll access much of the data from a database. In this part of the course, you will learn about databases, including how to access them and extract, filter, and sort the data they contain. You’ll also explore metadata to discover its many facets and how analysts use it to better understand their data.

Good organizational skills are a big part of most types of work, especially data analytics. In this part of the course, you will learn best practices for organizing data and keeping it secure. You’ll also understand how analysts use file naming conventions to help them keep their work organized.

Having a strong online presence can be a big help for job seekers of all kinds. In this part of the course, you will explore how to manage your online presence. You’ll also discover the benefits of networking with other data analytics professionals.