English

Indian rupee

Course Credibility

This course is an excellent opportunity for all the candidates to learn from an eminent faculty panel and leading industry experts with a combined experience of close to 30 years. The learners satisfying the requisite criteria get the certificates of project and course completion, respectively, from DataTrained, followed by certification from IBM. The latter are the official sponsors for this certification program.

Accrediation

Faculty Experience

Institution Reputataion (Tier-1,2,3/Top B School, Others)

Alumni Status to the Learner

Corporate Sponsors

Course Review

Flexibility- Self/Instructor paced

Pedagogy

The comprehensive course curriculum has been designed by top faculty members from IITs, IBM and leading industry experts. The primary teaching method involves a blended learning scheme with 100+ hours of video content and 80+ live virtual lectures at the weekends to facilitate the lives of the working professionals. Through LMS, registered candidates get access to notes, materials and projects.

Industry Relevant Curriculum

Personalised or Dedicated Guidance and Mentoring

Discussion Forums / Instructor moderated

Course Accessibility- Mobile/Desktop

International Faculty

Hands-on training

The program aims to guide the learners in the critical concepts of Big Data. The candidates are trained via a practical approach that includes hands-on exercises. It comes with case-based sessions presented by instructor-moderated discussions for feedbacks. Learners work on case studies and get access to 15 real-life projects to solve them with their knowledge. There is a final capstone project, which earns them the certification.

Case Based Learning

Projects- Capstone, Industry-Simulation

Hands on training

Virtual Labs

Career impact

The comprehensive curriculum is designed to help the learners master the industry's key concepts and help them elevate their respective career paths. The program comes with assured job assistance and features three months of live internship as a core curriculum. Moreover, the three world-class certifications that successful candidates earn help them add the extra edge to their resumes, thus boosting their job profiles.

Career Transition

CV & Interview Preparation

Job Impact

Pricing

This certification program presents many perks to the enrolled candidates. They learn under the supervision of an expert faculty panel and leading industry experts, work on more than 40 real-life industry projects and earn world-class certifications after successfully reaching the milestones. After considering these benefits and the high-industry prospects of Big Data, the course pricing has been set accordingly.

Peer Average

Assessment

The objective of the course is to help the candidates master all the crucial topics of Big Data. Hence, regular evaluations through practice tests are incorporated to test the candidates' skills. After working on industry projects, the learners work on the final capstone project to earn the certificate. The constant checks are included to keep engaged in the curriculum and ensure a better learning experience.

Present/Absent

Project Based Grading

Assignments

Quizzes

DataTrained offers this advanced certification course in collaboration with IBM to help the candidates learn and handle big data and get valuable insights about the new-age tools. Professionals with a basic understanding of the Linux operating system and R, Scala, Python or programming language can pursue this course. Through this program, the learners equip themselves with invaluable skills, including AI, Big Data analytics, SQL and Data science. Featured by instructor-moderated discussions, hands-on sessions, case-based educational method and a final capstone project, candidates enjoy a seamless learning experience.

Big Data Engineering is an IT profession that involves the creation, testing, and maintenance of complex data processing systems that can handle large quantities of data.
 
 
 Big data engineers are responsible for cleaning, transforming, enriching and integrating different types of data so that downstream users can extract comprehensive statistical information. Big data is a large volume of unstructured data that can be difficult to manage.
 
 
 Organizations collect and store a lot of data created by humans. Smart Internet of Things (IoT) devices, social media and audio, video, and images could all be sources of data. This data can be used to predict trends and combat crime, advertise, prevent disease, and so on.

Dr. Deepika Sharma

Asma Desai

Aaron Ritchie

Daniel Tran

Glen R.J. Mules

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