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Diploma in Data Science and Big Data Analytics

Job Description

This diploma is ideal for individuals aspiring to build a career in data science, big data analytics, or artificial intelligence, making them highly valuable in the job market.


Objective: The Diploma in Data Science and Big Data Analytics is designed to provide learners with a solid foundation in data analysis, statistical methods, and big data technologies. The course covers data mining, machine learning, data visualization, and tools for handling large datasets.

Eligibility Criteria

Criteria 1

Criteria 2

Experience

Training Qualification

12th

Pursuing Continuous Schooling

1 Year

None

12th

Passed

6 Months

None

Degree

Passed

No Experience

None


Sector

Artificial Intelligence

Certifying Bodies

National Education Training And Development

Type of Organisation

Board of Vocational Education

Learning Module In Job Role/Syllabus

Occupation Standards/Syllabus

NCO Code

Mandatory/ Optional

Duration

  • Introduction to Data Science and Big Data

  • Programming for Data Science (Python & R)

  • Data Wrangling and Preprocessing

  • Exploratory Data Analysis (EDA)

  • Machine Learning Fundamentals

  • Deep Learning and Neural Networks



N/A






Mandatory




6 Months




Career Opportunities

  • Data Scientist

  • Data Analyst

  • Big Data Engineer

  • Machine Learning Engineer

  • Business Intelligence (BI) Analyst

  • Data Engineer

  • Data Architect

  • AI Specialist

  • Data Consultant

  • Quantitative Analyst (Quant)

  • Data Visualization Specialist

  • Data Operations Manager

  • Cloud Data Engineer

  • Data Privacy Officer

  • Big Data Consultant


Duration Hours

Theory :

150

Practical :

150

Employability Skills :

20

OJT (Mandatory) :

20

Specializations in Course

Diploma in Data Science and Big Data Analytics program provides graduates with the skills and knowledge needed to analyze and interpret large datasets, implement machine learning algorithms, and manage data-driven decision-making processes. Graduates of this program can pursue a variety of roles in fields such as data analysis, machine learning, business intelligence, and big data management. Given the high demand for professionals with data science and analytics skills across industries such as finance, healthcare, e-commerce, technology, and more, the career opportunities are vast and well-compensated.


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