PG Diploma Big Data Analytics Syllabus and Subjects

Lisha Gupta

PG DBDA syllabus is a postgraduate degree of 12 months which is divided into two semesters. PG DBDA is a study of Java with Scala, Cloud Computing & Operations, Data Visualization - Analysis and Reporting, and so on. Subjects in PG DBDA differ according to the specializations and institutes.

Semester Wise Post Graduate Diploma in Big Data Analytics Syllabus

Post Graduate Diploma in Big Data Analytics syllabus covers everything from Cloud Computing & Operations, High-Performance Computing Solution & Applications, and so on. PG DBDA course covers both practical and theory aspects of big data analytics. PG DBDA syllabus PDF is available on online websites. PG DBDA course students have access to all the key information which they need to succeed in their coursework. Semester-wise PG DBDA subjects list are given below:

Post Graduate Diploma in Big Data Analytics Subjects

PG DBDA course subjects cover practical and theory aspects. Post Graduate Diploma in Big Data Analytics subjects are Cloud Computing & Operations, High-Performance Computing Solution & Applications, and so on. PG DBDA course curriculum covers both elective and core subjects. Some of the compulsory subjects are listed below:

• Basic Linux Commands
• Relational Model and SQL
• Query Processing and Optimization
• Database Security and Authorization
• Data Visualization - Analysis and Reporting
• High-Performance Computing Solution & Applications
• Data Collection and DBMS
• Programming with Python

Post Graduate Diploma in Big Data Analytics Course Structure

PG DBDA course is a postgraduate degree in Big Data and Analytics. Students who are interested in learning subjects and concepts relating to Data Science and Analytics can pursue the course. The Aspirants of Post Graduate Diploma in Big Data and analytics will develop a range of in-demand skills for extracting and handling ‘big data and applying modeling tools to help businesses and government organizations make better decisions.  The course structure of PGDBDA are given below:

• II Semesters
• Practicals
• Internship
• Case Study
• Core Subjects
• Elective Subjects

Post Graduate Diploma in Big Data Analytics Teaching Methodology and Techniques

PG DBDA has its own teaching methods. For the candidates who are very passionate about data analytics and want to take it up as their profession in the future. This course equips students with a theoretical understanding and practical experience of applying methods drawn from data science and analytics. General teaching methods of PG DBDA That are adopted in the course are listed below:

• Classroom Training
• Case Study
• Group Discussions
• Practical Sessions
• Internship

Post Graduate Diploma in Big Data Analytics Projects

Projects on some concepts are to the student to make them understand clearly about the topic and some more knowledge. Projects which are given should be completed within the second semester. Some of the PG DBDA projects topics are given below:

• Fast and Scalable Algorithms for Topic Modeling
• Divide & Conquer Methods for Big Data Analytics
• Gene-Disease Prediction: A Link Prediction Approach
• Large-Scale Recommender Systems
• Overlapping Community Detection in Massive Social Networks
• Learning with General Performance Metrics

Post Graduate Diploma in Big Data Analytics Reference Books

Books are the things that give vast knowledge about any topic. There are many books in this world with different topics, authors, and different points of view. Books for this PG DBDA are available in both online and offline stores. PG DBDA books pdf is available on online websites. Books for PG DBDA differ according to the specializations and Institutes. Some of the well known PG DBDA books are listed below: