PG Diploma in Data Science Syllabus and Subjects

Kripal Thapa

PG Diploma in Data Science syllabus is developed to help students learn the necessary skills for data science and a variety of other topics, including machine learning, big data, analytics, etc. The PG Diploma in Data Science course covers a number of programming and computer science-related topics. 

PG Diploma in Data Science job scope is vast for students as they are given extensive exposure to the information technology and communication sectors which includes a variety of job roles like Data Scientist, Data Analyst, and Business Intelligence Analyst.

Table of Contents

• Semester Wise PG Diploma In Data Science Syllabus
  • PG Diploma In Data Science First Year Syllabus
  • PG Diploma In Data Science Second Year Syllabus
• PG Diploma In Data Science Subjects
• PG Diploma In Data Science Course Structure
• PG Diploma In Data Science Teaching Methodology and Techniques
• PG Diploma In Data Science Projects
• PG Diploma In Data Science Books

Semester Wise PG Diploma In Data Science Syllabus

Core and elective subjects are covered in the two-year course curriculum for the PG Diploma in Data Science syllabus. The two years course is divided into four semesters. However, the curse duration can vary on colleges and the academic structure provided by various universities. The typical syllabus for the course is shown in the table below. 

PG Diploma In Data Science First Year Syllabus

The table below contains the PG Diploma In Data Science subjects listed in the syllabus:

PG Diploma In Data Science Second Year Syllabus

The table below contains the PG Diploma In Data Science subjects listed in the syllabus:

PG Diploma In Data Science Subjects

A wide range of topics is covered in the PG Diploma in Data Science course, with a focus on imparting in-depth knowledge of data science. The PG Diploma In Data Science subjects provide students with a thorough learning of various topics related to data science and analytics which includes core and elective subjects. 

PG Diploma In Data Science Core Subjects

The course content is created to give students all the details and insights they need to be successful in their chosen careers. The curriculum aims to ensure that students are familiar with all crucial industry knowledge. The typical core subjects of the PG Diploma In Data Science are listed below:

• Data Analytics using SQL & Excel
• Analytics with R & Tableau
• Data Structures and Algorithms
• Mathematics & Statistics
• Data Warehousing and Data Mining
• Data Visualisation

PG Diploma In Data Science Elective Subjects

The following essential subjects are included on the list of elective PG Diploma In Data Science subjects are studied by the students, regardless of their chosen field of specialization:

• Business Process Management
• Social Media Analytics
• Deep Learning
• Cluster Computing
• Cloud Computing
• Web and Text
• Internet of things
• Data Mining

PG Diploma In Data Science Course Structure

The course structure and duration may depend on the colleges and their academic structure. Core and elective subjects are addressed in the course. The course is broken up into six semesters, with the final semester requiring students to submit projects.

• IV Semester
• Core Subjects
• Elective Subjects
• Postgraduate course
• Diploma course
• Projects and assignments

PG Diploma In Data Science Teaching Methodology and Techniques

The numerous methodologies and techniques employed in the PG Diploma In Data Science course curriculum are covered in traditional lectures and computer lab training. The course's teaching methods and procedures are created to ensure that all necessary resources are available to the students enrolling for the particular course. Here are a few typical teaching techniques:

• Lectures
• Class Participation
• Computer Lab Sessions
• Seminars
• Group Discussions
• Traditional Classroom Teaching

PG Diploma In Data Science Projects

Through numerous project-based training opportunities, faculties can incorporate various computer data science-related projects into their course design. Below is a collection of a few of the projects from the PG Diploma in Data Science : 

• Recommender systems
• Driver drowsiness detection
• Making Chatbot
• Credit Card Fraud Detection Project
• Sentiment analysis.

PG Diploma In Data Science Books

Books are an excellent buy for students enrolled in a PG Diploma In Data Science programme since they may assist them in learning about their subject in great detail. The following is a list of some of the most popular PG Diploma In Data Science course books that students can purchase.: