What you will learn
- Understand 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.
Program Overview
Data Types and Structures
⏱️4 hours
Learn about structured and unstructured data, data types, and data formats.
Bias, Credibility, and Ethics
⏱️4 hours
Understand different types of bias in data and the importance of data ethics and privacy.
Databases: Where Data Lives
⏱️ 4 hours
Explore how analysts use spreadsheets and SQL within databases and datasets.
Organizing and Protecting Your Data
⏱️ 4 hours
Learn best practices for organizing data and keeping it secure.
Course Challenge
⏱️ 3 hours
- Apply the skills learned in a hands-on project to prepare data for exploration.
Get certificate
Job Outlook
- Proficiency in data preparation is crucial for roles such as Data Analyst, Business Analyst, and Data Scientist.
- Skills acquired in this course are applicable across various industries, including technology, healthcare, finance, and more.
- Completing this course can enhance your qualifications for entry-level data analytics positions.
Specification: Prepare Data for Exploration
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