This is a time of tremendous opportunity for IT professionals. Thanks to an endless stream of innovations, skilled professionals can increase their knowledge by taking advantage of one of the top big data certifications and honing their expertise. Hence, they either specialize in a wide variety of fields or move into a new domain. This process is particularly the case for big data, where the options for related careers appear to increase at the same incredible rate as the data itself!
According to Statista, we will generate 181 zettabytes of data worldwide by 2025, and all this data will have to be stored in scalable and cost-effective data platforms while still being accessed, analyzed, and turned into actionable information. That’s why big data professionals are in and will continue to be in such high demand. These professionals include data scientists, data analysts, data engineers, data developers, systems administrators, and system managers. Today's job market offers plenty of opportunities and lucrative salaries for those with suitable skill sets and certifications. Unfortunately, there is an ongoing shortage of data scientists, so if you’re looking for a field that offers a secure future, look no further than big data.
Why Should You Become a Certified Data Professional?
Whether you’re just getting started or you are a seasoned professional, a big data certification gives your career track a big boost. If you’re new to the field, a big data certification course gets you the training you need to make the transition and land that first job.
If you’re already a big data professional, a certification course can help you move up in your career or move into a more specialized role. For example, suppose you need to know more about an aspect of big data such as MongoDB or Apache Cassandra. In that case, certification helps you learn the necessary skills and gives your current or future employer proof of your qualifications.
For current big data professionals, certifications are evidence that they are proactive, which is a good point for managers conducting performance appraisals. In addition, jobs in big data pay exceptionally well. For example, a data architect can earn over USD 1,25,000 annually, whereas, a big data engineer can hit an annual maximum of USD 110,000.
Top Big Data Certifications
Now that you see that big data certification is a worthwhile career investment, your next step is choosing the type of certification course that fits you best. Here’s a curated list of all the top big data certifications.
1. Professional Certificate Program In Data Engineering
This Data Engineering program, in partnership with Purdue University & IBM, will help professionals master the most in-demand and crucial Data Engineering skills. With this program you can access Capstone from 3 domains and 14+ Projects, masterclasses delivered by Purdue faculty and IBM experts, IBM hackathons, Ask Me Anything sessions and so much more. To add to the list, upon course completion, you will receive a joint certificate from Purdue university and Simplilearn.
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2. Professional Certificate Course In Data Engineering
With this program you can gain access to masterclasses from IIT Kanpur faculty and certificate from E&ICT Academy, IIT Kanpur, and learn skills and tools used to turn unstructured raw data into consumable formats. You can learn how to design data models, build data warehouses and factories, automate data pipelines and so much more with this intensive Data Engineering program.
3. Advanced Certificate Program In Data Science from Purdue University and IBM
This Advanced Data Science program will help you learn job-critical skills and concepts like R, Python, Machine Learning techniques, data visualization and give you access to masterclasses by Purdue faculty & IBM experts, exclusive hackathons, & Ask Me Anything sessions by IBM. It also comes with 3 Capstone and 25+ Projects with data sets from known names in the industry, including, Amazon, Uber, Walmart,and so much more. Upon completing this course, you will be specialized in NLP, Deep Learning, Business Intelligence and Analytics, and Data Engineering.
4. Caltech Post Graduate Program In Data Science
This PG program in Data Science, built and delivered in partnership with Caltech CTME and IBM will help you make data-driven decisions.The program leverages the superiority of Caltech's academic eminence, an will help you master topics like Python programming, R programming, Machine Learning, Deep Learning, and so much more through an interactive learning model with live sessions by global practitioners and practical labs. You will also get access to masterclasses by Caltech faculty and IBM experts, 25+ hands-on projects, hackathons and Ask Me Anything sessions from IBM and more.
5. Big Data Engineer Master's Program
With the Big Data Engineer Master's Program you get to learn Big Data & Hadoop frameworks, and leverage the functionality of AWS services. It will also help you learn to use the database management tool and MongoDB via interactive sessions & industry projects, and master tools like, Python, Scala, Kafka and so much more.
Make Your Big Move into Big Data
Big data will remain big news in the tech industry for the foreseeable future, and the types and quantity of jobs will only increase in the coming years. In addition, escalating amounts of data will be generated, creating an even greater need for data professionals. So, if you’re considering a career as a big data engineer or are already there but want to move up in your career, explore and enroll in our world-class big data certification today!
FAQs
Q1. What is the big data course about?
Ans: A big data course teaches people how to work with large and complicated sets of information. They learn about different topics, such as data analytics, data mining, and machine learning, and they learn how to use tools like Hadoop, Spark, SQL, Python, and R. The aim is to prepare people for a career in big data analysis by teaching them technical skills and industry best practices. Hands-on experience with real-world data sets may also be provided to help individuals gain practical experience with big data.
Q2. What qualifications are required to learn big data?
Ans: It can be helpful to have a background in computer science, mathematics, or statistics, as well as knowledge of programming languages like Python, R, and SQL, and experience with data analysis and database systems. However, many big data courses and certifications are designed to be accessible to individuals with different levels of experience and education, and may not have strict prerequisites.
