This course explores the basics of data management. You will learn the role that data plays in making decisions and the standard methods of data collection and quality management. You will gain an understanding of data storage systems and data storage architecture. You will examine the fundamentals of data privacy and compliance, as well as the basics of machine learning.
By the end of this course, you will be able to:
• Describe the fundamentals of data collection and data quality management
• Explain data storage solutions and architectures, including big data management
• Define data security, privacy and governance principles
This course is for learners who want to gain foundational knowledge of data management.
Overview
Syllabus
- Collecting Data
- In this module, you will learn the basics of data collection and quality management. You will discover how data supports decision-making, identify common data sources, and explore various data collection methods and tools. You will also gain skills in managing data quality to ensure its reliability and accuracy, empowering you to make better data-driven decisions.
- Storing Data
- In this module, you will explore the critical role of data storage in today’s data-driven world. You will learn about different types of data storage systems and how they are used. You will dive into the complexities of managing big data and understand the architecture behind data storage solutions.
- Securing Data
- In this module, you will delve into the principles of data privacy and compliance, understanding their importance in protecting information. You will explore the fundamentals of data governance and how it ensures data is managed effectively. Additionally, you will learn how data is secured both in transit and at rest, safeguarding it from potential threats and breaches.
- Using Data
- In this module, you will learn the essentials of data analysis and exploration, discovering techniques to uncover meaningful insights from your data. You will explore different types of data visualizations and understand how data visualizations can be used to effectively present data to tell compelling stories. Additionally, you will be introduced to the basics of machine learning, gaining an understanding of how it can be used to automate data analysis and make predictions.
Taught by
Brandon Larkin
