DataXSchool Learning Center is dedicated to helping students secure jobs in the software industry. We offer job-oriented classes with real-time experience, ensuring our students are fully prepared for the workforce. With a strong focus on placement, our unique course design sets us apart from other institutions. We’ve proudly supported nearly 5000 students, with 2500 successfully placed in various IT companies. At DataXSchool, your success is our mission. Join us to turn your career aspirations into reality.
DataXSchool at a Glance
Why DataXSchool
DataXSchool Learning Centre offers the best database engineering course, designed to equip students with the skills to design, manage, and optimize modern databases. Taught by industry experts, the course provides in-depth knowledge of relational and non-relational databases, query optimization, data modeling, and cloud-based solutions. Through hands-on projects and real-world applications, students gain practical experience to build efficient, scalable, and secure data management systems, preparing them for successful careers in the tech industry.
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DataXSchool Learning Centre is a tailored program designed to empower organizations with the skills and knowledge needed to stay ahead in today’s fast-evolving tech landscape. We provide customized training solutions in data science, analytics, AI, and other cutting-edge technologies, ensuring that your team has the expertise to drive innovation and efficiency. Our expert instructors work closely with your company to address specific business needs, delivering hands-on, real-world learning experiences. With are corporates, DataXSchool supports your organization in building a highly skilled workforce that is ready to tackle complex challenges and deliver impactful results.
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Training Highlights & Student Benefits
Students Reviews
Our Success Story
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Our Faculties & Student Mentors
Srikanta Patra
Srikanta Patra is a seasoned Principal Data Architect with 15+ years of industry experience in Data Analytics, Data Science, Database Engineering, and Cloud Data Platforms. Most recently, he served as Principal Data Architect at Sequoia, where he led the design and implementation of enterprise-scale data architectures using modern database technologies.Throughout his career, Srikanta has held key technical leadership roles at Sequoia, Chingari, Junglee Games, BCD Travel, Atlas Systems, Synchronoss Technologies, and Wipro. His expertise spans MongoDB, Cassandra, ScyllaDB, NoSQL, Data Engineering, Data Architecture, Cloud Technologies, and Big Data.As the Founder & Chief Mentor of DataXSchool, Srikanta has mentored thousands of students and professionals, combining real-world industry expertise with hands-on training to prepare learners for successful careers in Data Engineering, Data Analytics, and Data Science.
Jitendra Mohanty
Jitendra Mohanty is a seasoned Data Architect with 15+ years of experience in Data Engineering, Cloud Architecture, AWS, Kubernetes, Big Data, Data Warehousing, and DevOps. He is currently working as a Data Architect at Tech Mahindra, Bengaluru, delivering enterprise solutions for global clients. Previously, he served as a Cloud Architect at Boeing and has held key engineering roles at Neustar, Continental, and DMX Technologies Group. At DataXSchool, he mentors aspiring Data Engineers with practical, real-world industry expertise.
Subrat Kumar Nayak
Subrat Kumar Nayak is a skilled Solution Architect with 15 years of experience in designing and implementing data-driven solutions. He has worked extensively in supply chain projects, where he focused on data analysis and architecting systems from scratch to optimize operations. Subrat has also contributed to major projects in the banking sector, including with Barclays and Austtila, where he helped design robust, scalable solutions to meet complex business needs. His expertise in data architecture, system design, and problem-solving, combined with his deep understanding of various industries, makes him an exceptional instructor who prepares students to tackle real-world challenges in data and technology.