Data Science and Big Data Analytics Free Course | Level-04 | ASSET Project (NSDA Certified)

Government-funded ASSET Project course on Data Science & Big Data Analytics with NSDA assessment, 360 hours training, stipend, snacks, and certification.

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Bootcamp Overview

The Data Science and Big Data Analytics Free Course (Level-04) is a government-funded professional training program under the ASSET Project, designed to develop industry-ready data professionals in Bangladesh.

This course is delivered through Primacy Academy and focuses on practical, job-oriented skills in data analysis, data science tools, and big data technologies. Learners will gain hands-on experience through real-world asset-based projects, ensuring strong practical exposure alongside theoretical knowledge.

The total course duration is 360 hours, covering foundational to advanced concepts in data science and big data analytics. After successful completion, students will be assessed by NSDA (National Skills Development Authority) and awarded a professional government-recognized certificate.

As part of the ASSET Project benefits:

  • Students will receive a financial stipend, deposited directly into their bank account

  • Daily class snacks will be provided during training sessions

  • The course is completely free, with no tuition fees

This program is ideal for learners who want to build a career in data science, analytics, and big data-driven industries with government certification and real project experience.

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Course Content

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Requirment

  • Minimum educational qualification as per ASSET Project & NSDA guidelines

  • Basic computer operation skills

  • Interest in data analysis, problem-solving, and technology

  • Ability to attend classes regularly for the full 360-hour duration

  • National ID and bank account (required for stipend disbursement)

  • Minimum age is 18+ and Maximum age is 40

  • Education Qualification at least HSC Pass

Outcomes

  • Understand core concepts of Data Science and Big Data Analytics

  • Work with structured and unstructured data effectively

  • Apply data analysis techniques for real-world problem solving

  • Use data-driven insights to support business and decision-making

  • Complete asset-based practical projects

  • Qualify for NSDA assessment and government certification

  • Improve employability in data-related roles across industries

Instructor

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