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
Introduction to Data Management
This course is part of Meta Data Analyst Professional Certificate
Instructor: Brandon Larkin
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124 reviews
Beginner level
Recommended experience
Flexible schedule
2 weeks at 10 hours a week
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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
Skills you'll gain
- Data-Driven Decision-Making
- Data Security
- Data Architecture
- Big Data
- Data Management
- Information Privacy
- Data Storage
- Data Visualization Software
- Data Quality
- Machine Learning Methods
- Data Presentation
- Encryption
- Machine Learning
- Data Storytelling
- Data Storage Technologies
- Data Analysis
- Data Governance
- Exploratory Data Analysis
- Data Collection
Details to know
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Assessments
19 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.
- 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 Meta
There are 4 modules in this course
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HN
Reviewed on May 23, 2025
The course was great for my work. Studying with your Institution is the the best thing you can do
MH
Reviewed on Aug 23, 2024
Excellent Course about data and its complete information.
MR
Reviewed on Aug 21, 2024
great insights when dealing data and extracting out a meaningful insight for a better decision-making process
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