Master In Data Science AI with ML, DL and NLP
Advance your career to the highest level of business leadership. Transform your expertise into strategic impact with our globally recognized program.
Duration: 6 Month
Format: Online
Accredited Program
Doctor of Business Administration (DBA)
Advanced Your Career to the Highest Level of Business Leadership.
Duration: 2 Year
Format: Online
Accredited Program
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Course Overview
Data Science with ML, DL and NLP
The Data Science & Artificial Intelligence program is a comprehensive, industry-oriented course designed to build expertise in Data Science, Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP). The program equips learners with practical skills to analyze complex data, develop intelligent models, and implement AI-driven solutions for real-world business challenges. It is structured to support both beginners and working professionals, including those with no prior coding experience.
The Changing Business Landscape
The Changing Business Landscape
Admission
Admission Requirements
General Admission Requirements
A copy of a valid government-issued photo identity card
A copy of an updated resume
Any document not in English must be accompanied by a certified translated copy
Additional Admission Requirements – Data Science & AI Program
Applicants applying for the Data Science & Artificial Intelligence program are expected to demonstrate a strong interest in data-driven problem solving and artificial intelligence applications. This 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 the Data Science & AI program gain access to career-oriented learning, industry exposure, and professional development opportunities. The flexible online learning format allows candidates to study at their own pace while building job-ready skills.
The program is suitable for fresh graduates, career switchers, and working professionals seeking to build or advance their careers in Data Science and Artificial Intelligence.
Why Choose Us
Why Choose PG Diploma in Data Science & AI
The AI & Data Science Program is designed to prepare learners for one of the fastest-growing and most in-demand career domains worldwide. The program equips students with future-ready skills as organizations increasingly rely on data and artificial intelligence to drive decision-making, innovation, and automation. The curriculum is beginner-friendly yet industry-aligned, making it ideal for learners with or without prior coding experience.
This program focuses on building job-ready skills through hands-on projects, real-world case studies, and practical tool-based learning. Learners also benefit from a flexible online format, enabling them to gain industry-relevant expertise while studying from anywhere.
Through this program, participants develop the ability to analyze data, build intelligent models, and apply AI-driven solutions to real business challenges.
Objectives
Program Objectives
The Data Science & AI Program by GTR Academy is designed to equip learners with the knowledge, analytical skills, and hands-on experience required to effectively use data and artificial intelligence technologies in today’s enterprises. The curriculum provides in-depth learning in data analysis, machine learning, artificial intelligence, and real-world problem-solving applications.
This program is structured to support both beginners and experienced professionals. Individuals from diverse academic and professional backgrounds can develop expertise in cutting-edge technologies, regardless of prior coding experience.
The program focuses on helping learners collect, analyze, and interpret data, build intelligent and predictive models, and apply AI-powered tools to solve real-world business and industry challenges. Through practical projects, real-world case studies, and industry-relevant tools, participants strengthen their critical thinking, technical proficiency, and data-driven decision-making abilities.
The flexible online learning format allows students to gain structured, industry-aligned knowledge while preparing for high-growth career opportunities in Data Science and Artificial Intelligence.
Program Goals
Goal 1: Build strong foundational knowledge in data analysis, statistics, machine learning, and artificial intelligence concepts.
Goal 2: Apply, synthesize, and integrate knowledge of business and technology to develop innovative solutions to organizational challenges.
Goal 3: Enable effective use of industry-standard tools and technologies for data processing, model development, and AI implementation.
Goal 4: Strengthen analytical thinking and data-driven decision-making skills for real-world business applications.
Goal 5: Prepare learners for industry-ready roles through hands-on projects, case studies, and practical AI-driven problem-solving.
Technologies we cater to Data Science
Course Structure
Program Curriculum
Module -1: Introductory Session
- Business understanding
- Data understanding
Module – 2: Python for Data Science
- Basics
- Control Flow: If-Else, Loops, Functions
- Data Structures: Lists, Tuples, Dictionaries, Sets
- File Handling: Read/Write CSV & JSON Files
- Error Handling: Try-Except Blocks
- Advanced: List Comprehensions, Dictionary Comprehensions, Date Time Module
Module – 3: Pandas for Data Analysis
- DataFrame & Series Manipulation
- Data Cleaning, Filtering & Aggregation
- Merging & Joining Datasets
- Basic Data Visualization
Module – 4: NumPy for Numerical Computing
- Arrays: Creation, Indexing, Slicing
- Mathematical & Statistical Operations
- Broadcasting & Reshaping
- Performance Optimization Over Lists
Module – 5: SQL for Data Extraction
- CRUD Operations
- Filtering Data, Joins
- CTE & Subqueries
- Window Functions
Module - 6: Statistics
- Measures of Central Tendency, Measures of Dispersion
- Probability Theory
- Continuous Probability Distributions
- Hypothesis Testing
- Inferential Statistics & Sampling Techniques
Module - 7: NLP (Natural Language Processing)
- Text Preprocessing
- Text Representation Techniques (Converting Text into Machine-Readable Format)
- POS, Feature Engineering
- Sentiment Analysis & Text Classification
Module - 8: Machine Learning
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- Feature Engineering & Feature Selection
Module - 9: Deep Learning
- Neural Networks: Basics, Activation Functions
- Optimizers, Loss Functions
- CNNs for Image Processing
- RNNs & LSTMs for Text Data
- Gated Recurrent Units (GRUs)
Module - 10: 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
Is this course suitable for beginners with no coding background?
Yes. The program starts from fundamentals and gradually moves to advanced topics like Machine Learning, Deep Learning, and NLP.
What tools and technologies will I learn?
You will learn Python, Pandas, NumPy, SQL, Statistics, Machine Learning, Deep Learning, NLP, Power BI, Tableau, and real-world data visualization tools.
Is the training live or recorded?
We offer both:
Live instructor-led training
Recorded program (1-year access)
How long does it take to become job-ready?
Most learners become job-ready within 4–6 months with consistent practice and project work.
