The 6 best online data management certifications to consider in 2021
The editors of Solutions Review have compiled this list of the best online data management certifications to consider earning.
Data management can sometimes be an overwhelming process. There are risks inherent in moving, mixing, and matching data to meet the needs of a business. The data management market offers a wide variety of products that can be used to analyze data from disparate and increasingly diverse sources. Traditional data warehousing techniques are being phased out with the adoption of data lakes, and cloud connectivity has become a differentiator in a growing number of deployments.
With that in mind, we’ve compiled this list of top data management certifications from leading online career training platforms and notable universities. The listed certifications provide students with the training they need to develop new skills and advance their careers. This is not an exhaustive list, but the one that features the best online data management certifications from trusted institutions. We’ve made sure to include certificate descriptions and Solutions Review’s personal perspective on each one.
The best data management certifications
OUR TAKE: This Arizona State University MasterTrack training module provides certification in data mining techniques, data analysis, data visualization, and statistical machine learning.
The description: You will learn to apply mathematical theory and decision-making techniques that are vital for big data analysis, classification, grouping and exploration of association rules through real projects designed by professors from the Arizona State University. By committing to study online for 6-9 months, you can earn the Big Data MasterTrack certificate which will allow you to advance to Arizona State University’s online master’s degree in computer science.
OUR TAKE: If you have mastered basic SQL, this course is for you. Offered by Coursera and Google Cloud, this module will provide certification for identifying big data and machine learning products in Google Cloud.
The description: This professional certificate incorporates hands-on labs using our Qwiklabs platform. These practical components will allow you to apply the skills acquired during video conferences. Projects will incorporate topics such as Google BigQuery, which are used and configured in Qwiklabs. You can expect to gain hands-on experience with the concepts explained throughout the modules.
OUR TAKE: IBM’s Data Engineering Fundamentals module will provide certification in Python programming, relational databases, and SQL on a standalone basis for 4-5 months.
The description: You will learn what data engineering is, what the modern data ecosystem looks like, and the data engineering lifecycle. You will also get a taste of a day in the life of a Data Engineer and professional advice to start your career in this discipline.
TITLE: Data processing and analysis
OUR TAKE: This edX and ITMO University module will certify you on how to preprocess large data sets, store data via SQL, etc. It will take approximately 4 months to complete and includes three individual lessons at your own pace.
The description: The demand for skilled data analysts, both in science and industry, continues to grow. The Professional Certificate Program in Data Processing and Analysis equips you with the necessary knowledge base and useful skills to face the challenges of data analysis in your professional field.
OUR TAKE: This program includes live interaction with IBM executives, over 120 hours of live interactive learning, a cornerstone, and 15 real projects. Students get a certificate for each course completed.
The description: This Big Data Engineer Master Certification The program in collaboration with IBM offers online training on the best big data courses to impart the skills necessary for a successful career in data engineering. Master big data and Hadoop frameworks, take advantage of the functionality of AWS services, and use the MongoDB database management tool to store data.
OUR TAKE: Students will learn the skills necessary to create a production-ready data infrastructure. This module can be completed in as little as five months. Prerequisites include intermediate Python and SQL.
The description: Learn how to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive data sets. At the end of the program, you will combine your new skills by carrying out a synthesis project. To be successful in this program, you must have intermediate skills in Python and SQL.
NOW READ:The best data management courses and online training
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Tim is the Editorial Director of Solutions Review and leads Big Data, Business Intelligence and Data Analytics coverage. Most influential business journalist in 2017 and 2018 and “Who’s Who” 2021 in data management and data integration, Tim is a recognized influencer and thought leader in enterprise software . Contact him via tking at solutionsreview dot com.