PG Diploma in Data Science & AI
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Duration: 6 Month
Format: Online
Accredited Program
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Duration: 2 Year
Format: Online
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Course Overview
PG Diploma in Data Science & AI
The PG Diploma in Data Science & AI is an industry-focused program designed to equip learners with the practical skills required to analyze data, build intelligent models, and apply artificial intelligence solutions to real-world business problems. The program is structured to support both beginners and working professionals, including those with no prior coding background.
The Changing Business Landscape
The Changing Business Landscape
The pace of change we are witnessing today is unlike anything we have seen in recent history.Â
A PG Diploma in Data Science & AI is more than just a degree; it may change your career in a big manner. A current Online PG Diploma in AI and Data Science  gets students ready for the demands of the real world, where businesses don’t just recruit graduates; they want experts who know how to work with data, algorithms, AI models, and real business settings. Students learn how to use data-driven methods to address real business challenges, construct smart solutions, and make a difference in many fields utilising advanced analytics and artificial intelligence in a structured graduate diploma data science curriculum.
Admission
Admission Requirements
General Admission Requirements
- A copy of a valid government-issued photo identity card.
- A copy of an updated resume.
- Any document if not in English must be accompanied by a certified translated copy.
Additional Admission Requirements – PG Diploma in Data Science & AI
Applicants applying for the PG Diploma in Data Science & AI are expected to demonstrate a strong interest in data-driven problem solving and artificial intelligence applications. This PG Diploma in AI and Data Science  program is designed for learners who want to build practical skills for real-world industry roles. While prior experience in programming, statistics, or data analytics is not mandatory, familiarity with basic mathematics, logical reasoning, or computer usage is considered beneficial.
Students enrolling in a pg diploma in data science with placement gain access to career-oriented learning, industry exposure, and professional development opportunities. The pg diploma in data science online learning format also allows candidates to study flexibly while building job-ready skills.
The program is suitable for fresh graduates, career switchers, and working professionals seeking to build or advance careers in Data Science and Artificial Intelligence.
Why Choose Us
Why Choose PG Diploma in Data Science & AI
The PG Diploma in AI and Data Science is designed to prepare learners for one of the fastest-growing and most in-demand career domains worldwide. This graduate diploma data science program equips students with future-ready skills as organizations increasingly rely on data and artificial intelligence to drive decision-making, innovation, and automation. The pg diploma in data science ai curriculum is beginner-friendly yet industry-aligned, making it ideal for learners with or without prior coding experience.
This pg diploma in data science with placement focuses on building job-ready skills through hands-on projects, real-world case studies, and practical tool-based learning. Learners also have the flexibility to pursue this program through a pg diploma in data science online format, enabling them to gain industry-relevant expertise while studying from anywhere.
Through this program, participants gain the skills needed to analyze data, build intelligent models, and apply AI solutions to real business challenges.
Objectives
Program Objectives
The PG Diploma in Data Science & AI by GTR Academy is designed to teach students how to use data and AI technologies effectively in today’s enterprises by giving them the information, analytical abilities, and hands-on experience they need. This full PG Diploma in Data Science and Graduate Diploma in Data Science curriculum will teach you a lot about machine learning, AI, and data analysis. It will also show you how to apply these tools in the real world to solve problems.
The PG Diploma in Data Science & AI program is meant to teach both new and experienced people about cutting-edge technologies. Because of this, people with a wide range of academic and professional backgrounds can learn about them.
The program’s purpose is to teach students how to collect, analyse, analyse, and understand data, build smart and predictive models, and employ AI-powered tools to solve real-world business and industrial challenges. This PG diploma in data science with placement will help you become ready for a job by teaching you how to think critically, enhance your technical abilities, and make decisions based on data. You will do this by working on real-world projects and using tools that are useful in the profession. Students also benefit from an online pg diploma in data science since it allows them to learn in a systematic fashion that is relevant to the field while also preparing them for high-growth employment in data science and artificial intelligence.
The program goals are:
- Goal 1:Build strong foundational knowledge in data analysis, statistics, and artificial intelligence concepts.
- Goal 2:Â Apply, synthesize, analyze, and integrate knowledge of business, technology, and other fields to arrive at innovative solutions to organizational problems.
- Goal 3: Enable effective use of industry-standard tools and technologies for data processing and model development.
- Goal 4: Strengthen analytical thinking and data-driven decision-making abilities for real-world business applications.
- Goal 5: Prepare learners for industry-ready roles by applying data science and AI techniques to practical projects and case studies.
Licensure & Associations
Technologies we cater to Data Science
Course Structure
Program Curriculum
Module -1: Basic to Advance Excel
Basic Excel
- Excel Interface
- Workbook vs Worksheet
- Information about Row, Column, Cell
- Excel Datatypes
- Basic Functions (SUM, AVERAGE, MIN, MAX, COUNT)
- Conditional Formatting
- Text to Column
- Remove Duplicate
- Addition Method (Sequence)
- Sorting & Filtering
- IF Function
- Logical Operators
- Concatenate Function
- Cell Reference (Absolute & Relative)
- Date Function
- Custom View
- Freeze Pane
Advance Excel
- Data Validation
- Lookup (VLOOKUP, HLOOKUP, XLOOKUP)
- Pivot Table (Pivot Graphs)
- Graphs
- Dashboard
- Slicer
- Advance Filter
- Macros
- Formatting Options
Excel With AI
- ChatGPT
- Google Gemini
- Copilot
Module -2: Python
1. Introduction to Python
- What is Python
- Features
- Applications
- Installation
- First Program
2. Python Basics
- Variables
- Data Types
- Type Casting
- Input/Output
- Syntax Rules
3. Operators
- Arithmetic
- Comparison
- Logical
- Assignment
- Bitwise
- Membership
- Identity Operators
4. Control Flow
- if, if-else
- if-elif-else
- for loop
- while loop
- break
- continue
- pass
5. Data Structures
- List, Tuple
- Set
- Dictionary and Methods
6. Strings
- String Operations
- Indexing
- Slicing
- Methods
- Formatting
7. Functions & Modules
- User Defined Functions
- Arguments
- Lambda Functions
- Modules
- Packages
8. File Handling
- Read
- Write
- Append Files
- CSV Files
9. Exception Handling
- try
- except
- else
- finally
- Custom Exceptions
10. Object Oriented Programming
- Class
- Object
- Constructor
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction
11. Advanced Python
- List & Dictionary Comprehension
- Generators
- Decorators
- Regex
12. Python with Database
- Python with MySQL
- CRUD Operations
13. Python Libraries
- NumPy
- Pandas
- Matplotlib (Introduction)
14. Python with AI Tools
- Code Generation
- Debugging
- Optimization using AI
15. Project & Use Cases
- Mini Projects
- Real-World Use Cases
- Interview Practice
Module - 3 : SQL with AI Tools
- Database
- Difference Between SQL and MySQL
- SQL Introduction
- SQL Datatypes
- SQL Commands
- SQL Where Clause & Comparison Operators
- Primary Key
- SQL Constraints
- SQL Date Function
- SQL Time Function
- SQL Aggregation Function
- SQL Order By Function
- SQL Logical Operators
- Mathematical Functions
- SQL Limit and Offset
- SQL Aggregation Keyword
- SQL Union and Union All
- SQL Subquery
- SQL View
- SQL Window Function
- SQL String Function
- Other Window Functions
- SQL Joins (Left, Right, Cross, Inner, Self)
SQL with AI
- Generate SQL Queries using ChatGPT
- Query Optimization using AI
- Structured Query Building Assistance
Module - 4: Python Library
Introduction to Python
- What is Python
- Features and Applications
- Installation of Python
- Writing and Running First Program
- Keywords and Identifiers
- Comments and Indentation
- Integer
- Float
- String
- Boolean
- Type Casting
- Taking User Input
Operators
- Arithmetic Operators
- Comparison Operators
- Logical Operators
- Assignment Operators
- Membership Operators
- Identity Operators
Control Statements
- If Statement
- If Else Statement
- If Else If Statement
- Nested Conditions
- For Loop
- While Loop
- Break, Continue, Pass
Strings
- String Indexing and Slicing
- String Methods
- String Formatting
Lists
- Creating Lists
- List Methods
- List Operations
- Nested Lists
Module - 5: Statistics
- Measures of Central Tendency, Measures of Dispersion
- Probability Theory
- Continuous Probability Distributions
- Hypothesis Testing
- Inferential Statistics & Sampling Techniques
Module - 6: Power BI
- What is Business Intelligence (BI)?
- Importance of BI in Decision Making
- Introduction to Power BI
- Power BI Components
- Power BI Workflow
- Installing Power BI Desktop
- Power BI Desktop Interface Overview
- Views in Power BI
- Understanding Ribbons and Panes
- Saving and Managing Power BI Files
- Data Sources and Data Import
- Power Query Editor
- Data Modelling
- DAX Functions
- Data Visualization (Charts, Graphs, Maps)
- Filter, Slicer, Card
- Dashboard and Report
- Publish and Sharing Report
- Project
- Creating Power BI DAX Queries using ChatGPT
- Writing Effective Prompts for Data Analysis
Module - 7: Machine Learning
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- Feature Engineering & Feature Selection
Module - 8: Deep Learning
- Neural Networks: Basics, Activation Functions
- Optimizers, Loss Functions
- CNNs for Image Processing
- RNNs & LSTMs for Text Data
- Gated Recurrent Units (GRUs)
Module - 9: NLP (Natural Language Processing)
- Text Preprocessing
- Text Representation Techniques (Converting Text into Machine-Readable Format)
- POS, Feature Engineering
- Sentiment Analysis & Text Classification
Module - 10: GenAI & Agentic AI (Basic)
- What is Artificial Intelligence?
- Types of AI (Narrow AI, General AI, Super AI)
- AI vs Machine Learning vs Deep Learning
- Real-world examples of AI
- What is Generative AI?
- How GenAI is different from Traditional AI
- Applications of GenAI
- Popular GenAI Tools:ChatGPT,Google Gemini,DALL·E
- What are LLMs?
- How LLMs work (basic idea)
- Tokens and Parameters (simple explanation)
- Transformer concept (basic overview)
- What is Prompt Engineering?
- Types of Prompts: Zero-shot, One-shot, Few-shot
- Writing effective prompts
- Prompt structure and format
- Practical exercises
- Content Writing
- Email Writing
- Code Generation
- Image Generation
- Resume Builder
- AI Chatbot Basics
- What is Agentic AI?
- Difference between GenAI and Agentic AI
- What is an AI Agent?
- Simple real-world examples of AI agents
Module - 11: Final Projects
- Final Project Completion
- HR Session with Industry Experts
- ATS friendly resume preparation
- LinkedIn Profile Optimization
- Interview Secret Tips
More Information
Additional Information for PG Diploma in Data Science & AI
FAQs
Frequently Asked Questions
What are the basic requirements of the PG Diploma in Data Science & AI in collaboration with Birchwood University?
To be eligible for the PG Diploma in Data Science & AI program, offered in collaboration with Birchwood University, applicants must have completed or be in the final year of a Bachelor’s degree in any discipline from a recognized institution. Candidates are required to submit an updated resume, a valid government-issued photo ID, and all relevant academic documents (with certified English translations if applicable).
Do I need to visit University campus during the course of the program in collaboration with Birchwood University?
The PG Diploma in Data Science & AI program, offered in collaboration with Birchwood University, is delivered fully online, so you do not need to visit the university campus at any stage. All classes, assignments, projects, and assessments are completed remotely.
How long is the PG Diploma in Data Science & AI that is offered in collaboration with Birchwood University?
The PG Diploma in Data Science & AI, offered in collaboration with Birchwood University, is designed to be completed in 6 months. The flexible online structure allows learners to balance their studies with personal and professional commitments.
What career opportunities are available after completing the PG Diploma in Data Science & AI in collaboration with Birchwood University?
Graduates of the PG Diploma in Data Science & AI can pursue a wide range of career opportunities across data-driven and technology-focused industries. Common roles include Data Scientist, Data Analyst, AI Specialist, Machine Learning Engineer (Associate), Business Intelligence Analyst, and Analytics Consultant.
Is the PG Diploma in Data Science & AI in collaboration with Birchwood University worth it?
Yes. The PG Diploma in Data Science & AI program, offered in collaboration with Birchwood University, is designed to provide learners with practical, industry-relevant skills that are highly valued in today’s data-driven job market. The program focuses on hands-on experience with real-world tools, data analysis techniques, and AI applications, preparing graduates for roles such as Data Scientist, Data Analyst, and AI Specialist.
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