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.
Introduction to Data Management
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Introduction to Data Management
This course is part of Meta Data Analyst Professional Certificate
Instructor: Brandon Larkin
4,035 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.8
(47 reviews)
Beginner level
Recommended experience
15 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
How to apply the fundamentals of data collection and data quality management
Different type data storage solutions and architectures, including big data management and how they are used
The fundamentals of data privacy and compliance, as well as the basics of machine learning
Details to know
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Recently updated!
June 2024
Assessments
18 assignments
Taught in English
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This course is part of the Meta Data Analyst Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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There are 4 modules in this course
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.
What's included
17 videos6 readings4 assignments
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.
What's included
14 videos4 readings5 assignments
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.
What's included
15 videos3 readings5 assignments
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.
What's included
13 videos4 readings4 assignments1 discussion prompt
Instructor
Instructor ratings
4.4 (9 ratings)Offered by
Recommended if you're interested in Data Analysis
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