The editors at Solutions Review have compiled this list of the best data management courses and online training to consider for 2021.
Data Management can sometimes prove to be an overwhelming process. There are inherent risks in moving, mixing, and matching data to meet the needs of an enterprise. The data management market offers a broad spectrum of products that can be used to analyze data from disparate and increasingly diverse sources. Traditional data warehousing techniques are slowly being phased out with the adoption of data lakes, and cloud connectivity has emerged as a differentiating factor in a growing number of deployments.
With this in mind, we’ve compiled this list of the best data management courses and online training to consider if you’re looking to grow your big data or analytics skills for work or play. This is not an exhaustive list, but one that features the best data management courses and training from trusted online platforms. We made sure to mention and link to related courses on each platform that may be worth exploring as well. Click Go to training to learn more and register.
Data Management and Visualization (Wesleyan)
Platform: Coursera
Description: In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly.
Related paths/tracks: Database Management Essentials, Data Management for Clinical Research (Vanderbilt), Data Warehouse Concepts, Design, and Data Integration, Research Data Management and Sharing
Go to training
Enterprise Data Management
Platform: edX
Description: Understand structured transactional data and known questions along with unknown, less-organized questions enabled by raw/external datasets in the data lakes. Topics include data strategy and data governance, relational databases/SQL, data integration, master data management, and big data technologies.
Related paths/tracks: Knowledge Management and Big Data in Business, Data Management, Data Security and Robot Operating System as a Common Tool for IoT
Go to training
March Towards Big Data – Big Data Implementation, Migration, Ingestion, Management, & Visualization
Platform: Experfy
Description: At the completion of this course, students will possess an in-depth understanding that will help them to architect big data infrastructure, use Hadoop tools, design and deploy MapReduce processing, and more. These skills will be applied on projects that will be either storage-driven or application-driven.
Related path/track: Big Data – What Every Manager Needs to Know
Go to training
Learning Data Governance
Platform: LinkedIn Learning
Description: In the era of big data and data science, most businesses and institutions realize the power of data. Yet far too many fail to appreciate the legal and fiscal responsibilities and liabilities associated with it. The stakes are high, but a well-rounded data governance process can help ensure the consistent quality, availability, integrity, and usability of your data.
Related paths/tracks: Learning Document Retention and Data Management, Managing and Analyzing Data in Excel, Data Curation Foundations
Go to training
AWS Data Warehousing Training
Platform: Mindmajix
Description: The Mindmajix AWS Data Warehousing Training makes you an expert in building the applications by leveraging capabilities of data collection from various sources, consoles, and commands related to bug management, various analysis methods, and their usefulness. This course also demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB and Amazon EMR.
Related paths/tracks: Big Data on AWS Training, Intelligent Data Integration Training
Go to training
Big Picture: Enterprise Data Management
Platform: Pluralsight
Description: In this course, you will learn about the various disciplines of data management. First, you will discover what data governance is and how you might want to implement a governance program for your organization. Next, you will cover data modeling and data architecture, including the topics of MDM and Blockchain technology. Then, you will explore the disciplines of database administration and data development.
Related paths/tracks: Designing a Data Warehouse on the Microsoft SQL Server Platform, Design a Data Management Strategy for Microsoft Azure, Data Management and Preparation Using R
Go to training
Big Data Engineer Master’s Program (IBM)
Platform: Simplilearn
Description: This Big Data Engineer Master’s certification program in collaboration with IBM provides online training on the best big data courses to impart skills required for a successful career in data engineering. Master the big data and Hadoop frameworks, leverage the functionality of AWS services, and use the database management tool MongoDB to store data.
Related paths/tracks: Big Data Hadoop Certification Training Course, AWS Big Data Certification Training Course
Go to training
Become a Data Engineer Nanodegree
Platform: Udacity
Description: Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project. To be successful in this program, you should have intermediate Python and SQL skills.
Go to training
NOW READ: The Best Data Management Books on Our Reading List
Solutions Review participates in affiliate programs. We may make a small commission from products purchased through this resource.
Timothy King
