The editors at Solutions Review have compiled this list of the best big data certifications online to consider acquiring.
The growing importance of data management best practices and techniques for delivering against big data are becoming paramount in the enterprise. The big data landscape is evolving in real-time, which has organizations scrambling to utilize their data architectures soundly. Coupled with this, Hadoop and the data lake have emerged as technologies no company can ignore, as they complement the data warehouse quite nicely, and in some cases are even replacing it.
With this in mind, we’ve compiled this list of the best big data certifications from leading online professional education platforms and notable universities. The certifications listed offer students the training they need to develop new skills and advance their careers. This is not an exhaustive list, but one that features the best big data certifications online from trusted institutions. We made sure to include certificate descriptions and Solutions Review’s personal take on each.
The Best Big Data Certifications
OUR TAKE: This Arizona State University MasterTrack training module provides certification on data mining techniques, data analytics, data visualization, and statistical machine learning.
Description: You’ll learn to apply mathematical theory and decision-making techniques that are vital to big data analysis, classification, clustering, and association rule mining through real-world projects designed by faculty from Arizona State University. By committing to online study for 6-9 months, you can earn the Big Data MasterTrack Certificate that will be a pathway to the online Master of Computer Science degree at Arizona State University.GO TO TRAINING
OUR TAKE: If you have basic proficiency with 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.
Description: This Professional Certificate incorporates hands-on labs using our Qwiklabs platform. These hands-on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google BigQuery, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.GO TO TRAINING
OUR TAKE: IBM’s Data Engineering Fundamentals module will provide certification in Python programming, relational databases, and the SQL language in a self-paced manner over 4-to-5 months.
Description: You will learn what data engineering is, what the modern data ecosystem looks like, and the data engineering lifecycle. You will also be provided with a taste of a day in the life of a Data Engineer and tips from professionals on starting your career in this discipline.GO TO TRAINING
TITLE: Data Processing and Analysis
OUR TAKE: This edX and ITMO University module will certify you in how to preprocess large datasets, store data via SQL, and more. It will take roughly 4 months to complete and features three individual, self-paced courses.
Description: The demand for skilled data analysts both in science and industry is constantly growing. Data processing and analysis Professional Certificate Program gives you the necessary knowledge base and useful skills to face data analysis challenges in your professional field.GO TO TRAINING
OUR TAKE: This program includes live interaction with IBM leadership, more than 120 hours of live interactive learning, a capstone, and 15 real-life projects. Students earn a certificate for each course completed.
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.GO TO TRAINING
OUR TAKE: Students will learn the skills to build production-ready data infrastructure. This module can be completed in as little as five months. Prerequisites include intermediate Python and SQL.
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
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