With the first position on the list of Best Online Data Management Courses, Data Management for Clinical Research by Vanderbilt University introduces key concepts and techniques for planning, collecting, storing, and disseminating data in clinical research.

Any scientific domain requires a thorough understanding of and application of sound data management concepts. A good working understanding and skill set in data management concepts and practice will raise your productivity and improve your science, regardless of your present (or expected) role in the research enterprise. The purpose of these lessons is to assist you in learning and practicing this skill set.

This course assumes only a basic understanding of technology, such as how to use a web browser. As learners study best practices for data management together, learners will focus on practical lectures, short quizzes, and hands-on exercises.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 17 hours to complete
  
• Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish

Coursera Rating: 4.7/5
Enroll here: https://www.coursera.org/learn/clinical-data-management

This course will give students an overview of how to handle and share research data. Learners will be able to recognize the components of good data management plans after completing this course, as well as understand the diversity of data and their management needs across the research data lifecycle. They will also be familiar with best practices for working with data, such as data organization, documentation, storage, and security. Learners will also gain an understanding of the motivation for archiving and sharing data, as well as how to evaluate the reliability of repositories.

Data producers are now being required by an increasing number of funding agencies, journals, and other stakeholders to share, archive, and plan for the management of their data. Researchers and information workers will need data management and curation knowledge and abilities to enable the long-term preservation, access, and reuse of data in order to meet these objectives. Data management can also aid in the optimization of research outputs, the expansion of research impact, and the encouragement of open scientific inquiry.

Learners will be better equipped to handle data across the whole research data lifecycle, from project planning through the end of the study, when data should ideally be shared and made available within a reliable repository, after finishing this course.

The Curating Research Assets and Data Using Lifecycle Education (CRADLE) Project at the University of Edinburgh collaborated with EDINA to create this course.

The Institute of Museum and Library Services, through award #RE-06-13-0052-13, helped to make this course available. The Institute of Museum and Library Services does not necessarily endorse the views, results, conclusions, or recommendations contained in this Research Data Management and Sharing MOOC.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 14 hours to complete
  
• Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, German, Russian, English, Spanish

Coursera Rating: 4.7/5
Enroll here: https://www.coursera.org/learn/data-management

Data Management and Visualization offered by Wesleyan University stands on the third place on the list of Best Online Data Management Courses. Data is becoming increasingly important to success, whether it's used to personalise advertising to millions of online users or to expedite inventory procurement at a small restaurant. Learners don't always know how to use data to discover answers to questions that will help us be more effective in our work.

Even if you've never thought about data before, this course will teach you what it is and how to think about what questions you have that data can answer. You'll learn to construct a research question, identify the variables and their interactions, compute basic statistics, and concisely communicate your findings using existing data.

By the end of the course, you'll know how to handle and visualize data using strong data analysis programs like SAS or Python, including how to deal with missing data, variable groups, and graphs. You'll share your progress with others throughout the course to get useful feedback, as well as learn how your peers use data to address their own issues.

This course offers:

• Flexible deadlines: Reset deadlines in accordance to your schedule.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Beginner Level
  
• Approx. 12 hours to complete
  
• Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish
• Course 1 of 5 in the Data Analysis and Interpretation Specialization

Coursera Rating: 4.7/5
Enroll here: https://www.coursera.org/learn/data-visualization

Business Data Management and Communication Specialization offered by University of Illinois at Urbana-Champaign is a great course among the Best Online Data Management Courses as it understands how valuable information may be derived from vast volumes of data is critical in a world dominated by big data. Furthermore, maximizing the value of information is critical. This necessitates not just the extraction of value from data, but also the efficient communication of that information.

The Business Data Management and Communication Specialization is designed to provide a well-balanced curriculum that emphasizes all three components of data management and communication: understanding data, extracting useful information, and effective communication. Advanced accounting, working with large data, communicating data, and information analysis will be the focus of this Specialization's courses.

This course offers:

• Flexible Schedule: Set and maintain flexible deadlines.
  
• Certificate : Earn a Certificate upon completion
  
• 100% online
  
• Intermediate Level
  
• Approx. 6 months to complete: Suggested pace of 4 hours/week
  
• Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish

Coursera Rating: 4.7/5
Enroll here: https://www.coursera.org/specializations/business-data-management-communication

In organizations, data is used for a variety of purposes. Data Management (DM), Data Governance (DG), Data Stewardship, Data Science, and a variety of other terms are used to describe various aspects of data management.

All of these actions are critical for businesses, especially those attempting to safeguard data from cyberattacks, comply with regulations, or just improve the quality of their analytics and reports. You can usually locate information on one of these activities but not all of them.

Furthermore, many courses utilize different definitions, which can lead to confusion. In short, the majority of data courses do not meet the minimum standards. And this has ramifications not only for your profession, but also for your personal life. When you don't have enough information, what happens? (or in the adequate format)

This training is thorough and up to date, unlike other data management or data governance courses available. To put it another way, not only did I make sure that you'll learn about more topics (and in more depth) than you would in other courses, but I also made sure that the material is relevant to the types of data quality challenges you'll encounter today.

Data operations may appear complicated at first glance, yet they are based on fundamental principles. This course will teach you the fundamentals of data management, including tasks like profiling and remediation, as well as how data is governed through processes and policies. Not only that, but we'll go over each discipline's activities, stakeholders, projects, and resources in detail.

Requirements:

• You don't need prior knowledge (knowledge of data management/data governance naturally helps, but is NOT necessary)

Who this course is for:

• You're a current (or future) data management or data governance professional
  
• You're someone involved (willingly or not) in a data-related project, and need to understand it
  
• You're involved in decision-making related to managing or governing data in an organisation
  
• You're anyone else curious about data management, data governance, or any other activity related to data

Subtitles: English
Udemy Rating: 4.3/5.0
Enroll here: https://www.udemy.com/course/data-management-and-governance/

Any organization's most valuable assets are its people and its data. The business can more readily reach data-driven decisions and so meet its strategic goals in a more effective manner by correctly keeping accurate and secure data, as well as persuading employees within the organization to see the importance of data.

Data management establishes the foundation for correctly managing data throughout its lifecycle, providing a set of rules and recommendations for achieving the above objectives.

Your course can assist you in this journey by teaching you the main Data Management principles and their importance, as well as practical advice for establishing and maintaining a Data Management culture inside your firm. Furthermore, you will learn more about the process of becoming a data-driven business through this course.

Data Management for Beginners - Main Principles has been meticulously created to help you master the fundamentals of data management and governance in a disciplined, step-by-step manner. To that purpose, we'll start the course with some fundamental concepts like data management and data governance.

Requirements:

• This course has no requirements and it is suitable for all levels

Who this course is for:

• Data Governance Analysts and Managers
  
• Data Professionals such as: Data Analysts, Data Architects and Database Administrators
  
• IT Managers
  
• Information Security Analysts

Subtitles: English
Udemy Rating: 4.2/5.0
Enroll here: https://www.udemy.com/course/introduction-to-data-management-for-beginners/

Standing the seventh on the list of the Best Online Data Management Courses, R Data Pre-Processing & Data Management - Shape your Data is absolutely worth your money. The initial stage in data analytics is data pre-processing. You can't avoid it; it's far too crucial. Unfortunately, this subject is mostly ignored, and information is scarce. To get the most out of this course, you simply need a basic understanding of R. You're ready to follow along with the course material once you've mastered the fundamentals of RStudio and R. Of course, you'll get the R scripts as well, which will make things much easier.

Because the screencasts are created in RStudio, you should install it with R. The required add-on packages are listed in the course. Take a look at this course once more if you want to ensure that you have accurate data in a neat arrangement. It will greatly simplify your R analytics!

Requirements:

• Computer with R and RStudio ready to use
• You should have basic R / RStudio knowledge
• Required add on packages will be listed in the course orientation video

Who this course is for:

• Data pre-processing is a crucial step of data related work - therefore this course is intended for all R users

Subtitles:English
Udemy Rating: 4.9/5.0
Enroll here: https://www.udemy.com/course/r-data-management-shape-your-data/