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Brandon Larkin
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/wimyrb/introduction
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What's inside
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.
Read more
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.
Read more
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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops background knowledge and core skills that are useful for working in an organizational setting where data plays a role in decision-making
Covers essential concepts that provide a strong foundation for understanding data management
Provides an overview of machine learning, a valuable tool for data analysis and prediction
Taught by experienced instructors who are highly knowledgeable in data management
Requires some foundational knowledge of data management concepts, which may not be suitable for complete beginners
Save this course
Save Introduction to Data Management to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to Data Management with these
activities:
Complete practice data collection drills
Show steps
Refresh your knowledge of data collection methods to lay a strong foundation for the course.
Browse courses on
Data Collection
Show steps
-
Review multiple-choice questions on different data collection methods
-
Apply these methods to real-world scenarios to test your understanding
Refresh Data Analysis Basics
Show steps
Review core data analysis concepts to strengthen your foundation in data management.
Browse courses on
Data Analysis
Show steps
-
Review fundamental statistical concepts (mean, median, standard deviation)
-
Go over data visualization techniques (e.g., bar charts, scatterplots)
-
Practice data exploration and manipulation using a tool like Excel or Python
Create a data management plan
Show steps
Creating a data management plan is a detailed plan that documents how data will be collected, stored, and analyzed. This will force you to think carefully about the data you need for your research and how you will handle it.
Show steps
-
Define the scope of your research project
-
Identify the types of data you will collect
-
Determine how you will collect the data
-
Decide how you will store the data
-
Develop a plan for analyzing the data
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Solve data analysis and visualization challenges
Show steps
Enhance your data analysis and visualization skills through targeted practice.
Browse courses on
Data Analysis
Show steps
-
Find online platforms offering data analysis and visualization challenges
-
Select a challenge and work through it
-
Review your solutions and identify areas for improvement
Data Collection Methods Practice
Show steps
Reinforce your understanding of data collection methods and techniques.
Browse courses on
Data Collection
Show steps
-
Explore different data sources (e.g., surveys, interviews, sensors)
-
Practice designing and implementing data collection plans
-
Assess data quality and identify potential biases
Complete tutorials on data quality management
Show steps
Data quality management is an important part of data management. This will help you to identify and correct errors in your data, which will improve the quality of your analysis.
Browse courses on
Data Quality Management
Show steps
-
Find tutorials on data quality management
-
Complete the tutorials
-
Apply the techniques you learned to your own data
Attend live webinars on data storage solutions
Show steps
Engage with industry experts and gain insights into cutting-edge data storage solutions.
Show steps
-
Register for upcoming webinars on data storage
-
Actively participate and ask questions during the live sessions
Visualize Data Trends
Show steps
Enhance your data analysis skills by creating data visualizations.
Browse courses on
Data Visualization
Show steps
-
Select a relevant dataset and identify key trends
-
Design and create data visualizations using tools like Tableau or Google Data Studio
-
Present and interpret your findings
Collaborative Data Project
Show steps
Apply your data management and analysis skills through a collaborative project.
Browse courses on
Data Management
Show steps
-
Form a study group with classmates
-
Identify a real-world data management problem to solve
-
Collect and analyze data as a team
-
Present your findings and recommendations
Attend hands-on workshops on data privacy and compliance
Show steps
Gain practical experience in implementing data security and compliance measures.
Browse courses on
Data Security
Show steps
-
Identify relevant workshops in your area
-
Register and attend the workshops
-
Participate in hands-on exercises and discussions
Big Data Management Case Studies
Show steps
Gain practical insights into managing big data through real-world case studies.
Browse courses on
Big Data Management
Show steps
-
Analyze case studies of successful big data implementations
-
Identify best practices and challenges in big data management
-
Explore emerging technologies and trends in big data
Develop a data management plan for your own project
Show steps
Apply course concepts to a real-world project and gain a deeper understanding of data management.
Browse courses on
Data Collection
Show steps
-
Identify a project that requires data management
-
Outline a data management plan for the project
-
Consider data collection methods, storage solutions, security measures, and data analysis techniques
Join a non-profit organization working on data-related projects
Show steps
Gain practical experience and contribute to the community while applying data management principles.
Show steps
-
Research non-profit organizations involved in data-related work
-
Identify opportunities to volunteer your skills and knowledge
Data Analytics Competition
Show steps
Test and showcase your data analytics skills through a competition.
Browse courses on
Data Analytics
Show steps
-
Identify a relevant data analytics competition
-
Form a team or participate individually
-
Develop a solution and submit your results
Contribute to open-source data management projects
Show steps
Enhance your skills and make a valuable contribution to the data management community.
Show steps
-
Identify open-source data management projects that align with your interests
-
Explore the project's documentation and codebase
-
Identify areas where you can contribute your skills
Complete practice data collection drills
Show steps
Refresh your knowledge of data collection methods to lay a strong foundation for the course.
Browse courses on
Data Collection
Show steps
Show steps
Show steps
- Review multiple-choice questions on different data collection methods
- Apply these methods to real-world scenarios to test your understanding
Refresh Data Analysis Basics
Show steps
Review core data analysis concepts to strengthen your foundation in data management.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Review fundamental statistical concepts (mean, median, standard deviation)
- Go over data visualization techniques (e.g., bar charts, scatterplots)
- Practice data exploration and manipulation using a tool like Excel or Python
Create a data management plan
Show steps
Creating a data management plan is a detailed plan that documents how data will be collected, stored, and analyzed. This will force you to think carefully about the data you need for your research and how you will handle it.
Show steps
Show steps
Show steps
- Define the scope of your research project
- Identify the types of data you will collect
- Determine how you will collect the data
- Decide how you will store the data
- Develop a plan for analyzing the data
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Solve data analysis and visualization challenges
Show steps
Enhance your data analysis and visualization skills through targeted practice.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find online platforms offering data analysis and visualization challenges
- Select a challenge and work through it
- Review your solutions and identify areas for improvement
Data Collection Methods Practice
Show steps
Reinforce your understanding of data collection methods and techniques.
Browse courses on
Data Collection
Show steps
Show steps
Show steps
- Explore different data sources (e.g., surveys, interviews, sensors)
- Practice designing and implementing data collection plans
- Assess data quality and identify potential biases
Complete tutorials on data quality management
Show steps
Data quality management is an important part of data management. This will help you to identify and correct errors in your data, which will improve the quality of your analysis.
Browse courses on
Data Quality Management
Show steps
Show steps
Show steps
- Find tutorials on data quality management
- Complete the tutorials
- Apply the techniques you learned to your own data
Attend live webinars on data storage solutions
Show steps
Engage with industry experts and gain insights into cutting-edge data storage solutions.
Show steps
Show steps
Show steps
- Register for upcoming webinars on data storage
- Actively participate and ask questions during the live sessions
Visualize Data Trends
Show steps
Enhance your data analysis skills by creating data visualizations.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Select a relevant dataset and identify key trends
- Design and create data visualizations using tools like Tableau or Google Data Studio
- Present and interpret your findings
Collaborative Data Project
Show steps
Apply your data management and analysis skills through a collaborative project.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Form a study group with classmates
- Identify a real-world data management problem to solve
- Collect and analyze data as a team
- Present your findings and recommendations
Attend hands-on workshops on data privacy and compliance
Show steps
Gain practical experience in implementing data security and compliance measures.
Browse courses on
Data Security
Show steps
Show steps
Show steps
- Identify relevant workshops in your area
- Register and attend the workshops
- Participate in hands-on exercises and discussions
Big Data Management Case Studies
Show steps
Gain practical insights into managing big data through real-world case studies.
Browse courses on
Big Data Management
Show steps
Show steps
Show steps
- Analyze case studies of successful big data implementations
- Identify best practices and challenges in big data management
- Explore emerging technologies and trends in big data
Develop a data management plan for your own project
Show steps
Apply course concepts to a real-world project and gain a deeper understanding of data management.
Browse courses on
Data Collection
Show steps
Show steps
Show steps
- Identify a project that requires data management
- Outline a data management plan for the project
- Consider data collection methods, storage solutions, security measures, and data analysis techniques
Join a non-profit organization working on data-related projects
Show steps
Gain practical experience and contribute to the community while applying data management principles.
Show steps
Show steps
Show steps
- Research non-profit organizations involved in data-related work
- Identify opportunities to volunteer your skills and knowledge
Data Analytics Competition
Show steps
Test and showcase your data analytics skills through a competition.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Identify a relevant data analytics competition
- Form a team or participate individually
- Develop a solution and submit your results
Contribute to open-source data management projects
Show steps
Enhance your skills and make a valuable contribution to the data management community.
Show steps
Show steps
Show steps
- Identify open-source data management projects that align with your interests
- Explore the project's documentation and codebase
- Identify areas where you can contribute your skills
Career center
Learners who complete Introduction to Data Management will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/wimyrb/introduction
Reading list
We haven't picked any books for this reading list yet.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/wimyrb/introduction
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Effort
4 weeks of study, 5-6 hours/week
Level
Introductory
Via
Coursera
Institution
Meta
Instructor
Brandon Larkin
Session
August 5, 2024
- September 9, 2024
Language
English
Good to know
Develops background knowledge and core skills that are useful for working in an organizational setting where data plays a role in decision-making
Covers essential concepts that provide a strong foundation for understanding data management
Provides an overview of machine learning, a valuable tool for data analysis and prediction
Taught by experienced instructors who are highly knowledgeable in data management
Requires some foundational knowledge of data management concepts, which may not be suitable for complete beginners
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