Meta

Introduction to Data Management

Brandon Larkin

Instructor: Brandon Larkin

3,713 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.8

(44 reviews)

Beginner level

Recommended experience

15 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.8

(44 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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Build your Data Analysis expertise

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
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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)
Brandon Larkin
Meta
2 Courses14,995 learners

Offered by

Meta

Recommended if you're interested in Data Analysis

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4.8

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5

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4

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