Ementorhub

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

Data Security

Data Collection

Data Cleansing

Databases

Google Sheets

SQL

Data Literacy

Data Ethics

Metadata Management

Relational Databases

Unstructured Data

Data Management

Data Quality

Data Analysis

Data Access

There are 5 modules in this course

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, learners will: - Find out how analysts decide what 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 within 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 best practices for organizing data and keeping it secure.

Data responsibility

Database essentials

Organize and protect data

Engage in the data community