- 🎓 Master Data Science in 12 Weeks
Master Data Science in 90 Days
Master Python, Machine Learning, Deep Learning, AI & Generative AI with real-time projects and become a job-ready Data Scientist.
Online/Offline Learning
1:1
Sessions
Global Certification
Why Choose Our Data Science Course?
Our Data Science certification course is built for students, freshers, and working professionals who want to transition into the world’s most in-demand tech career. From Python programming to Machine Learning, AI, and Generative AI, you’ll gain both theoretical knowledge and practical, project-based experience.
Learn by Doing 100%
Work on real-time projects using datasets from finance, healthcare, and e-commerce
GenAI
Learn GenAI, Large Language Models and Transformer Architecture
Job-Ready Skills
Build job-ready skills in Machine Learning, AI, and GenAI
Career Guidance
Career assistance with resume prep, mock interviews & placement support
Transform Your Career with Data Science
Our Data Science Course is designed to help learners build expertise in Python, Machine Learning, Deep Learning, AI, and Generative AI. Whether you are a beginner or a professional looking to transition into Data Science, this program equips you with the skills, tools, and real-world project experience needed to succeed in today’s data-driven industry.
- Master Python, SQL, Pandas, NumPy, and data visualization
- Build and deploy Machine Learning models using Scikit-learn
- Work with Deep Learning frameworks like TensorFlow
- Apply NLP and Computer Vision techniques for AI applications
- Gain hands-on experience with GenAI and LLMs.
Skills You'll Master
- Data Visualization & EDA
- Machine Learning & Deep Learning
- Generative AI & LLMs
Who Can Join This Course?
- Students and graduates from any background
- Professionals looking to move into Data Science
- IT and business professionals wanting data skills
- Anyone interested in learning data-driven decision-making
Comprehensive & Industry-Aligned Data Science Syllabus
Our syllabus covers everything from the foundations of data handling and visualization to advanced topics like Deep Learning, NLP, Computer Vision, and Generative AI (LLMs, RAG, Transformers). Each module includes hands-on projects to make you industry-ready.
22
Modules
90
Days
100%
Practical
22
Modules
90
Days
100%
Practical
Modules
01. Python Introduction
- Introduction to Python.
- Installation of Python and IDE.
- Python Syntax & Variables.
- Python basic data types (int, float, str, bool)
- Input/Output (input(), output() )
- Operators (Arithmetic, Comparison, Logical, Assignment)
- Type Casting.
02. Control Flow in Python
Conditional Statements (if, elif, else)
Loops (for, while)
Loop Control (break, continue, pass)
Nested Loops.
03. Python Data Structures & Functions
Data Structures (Strings, Lists, Tuples, Sets, Dictionaries)
Function.
Defining Function (def)
Return Values.
Lambda Function.
Scope (local, global)
04. Python Modules and Packages
Importing Modules (import, from… import)
Standard Libraries.
Creating Custom Modules.
Virtual Environments.
05. OOPS in Python
Introduction to OPPs
Classes & Objects.
Constructors (__init__)
Methods & Attributes.
Inheritance.
Polymorphism.
Encapsulation.
06. Pandas Introduction
Installing Pandas.
Importing Pandas.
Understanding “Series” and “Data Frames”
Creating Data Frames.
07. Data exploration with Pandas
Viewing Data.
Shape & Indexing.
Selecting Data.
Column & Row selection.
Filtering with conditions.
08. Data Cleaning using Pandas
Handling Missing Data.
Handling Duplicates.
Renaming Columns & Index.
Changing Data Types.
Replacing values.
09. Advanced Data Handling
Data Transformation.
Grouping & Aggregation.
Merging, Joining and Concatenating.
Working with Time Series.
Input & Output (I/O Operations).
10. Numpy Introudction
Install NumPy.
Import NumPy.
NumPy Arrays Basics.
Indexing & Slicing.
11. Array Operations
Arithmetic operations.
Broadcasting rules in NumPy.
Universal Functions.
Aggregate Functions.
12. Advanced Numpy Operations
Reshaping & Manipulating Array.
Linear Algebra with NumPy.
Random Module.
Integration.
Advanced Operations.
13. SQL Basics
What is SQL?
Installing and Setting up SQL.
Understand Databases, Tables and Records.
Basic SQL Syntax.
Core Commands.
14. SQL Comments
DQL (Data Query Language)
DDL (Data Definition Language).
DML (Data Manipulation Language).
DCL (Data Control Language).
TCL (Transaction Control Language).
15. SQL Database Concepts
Data Filtering & Sorting.
SQL Function.
Joins & Relationship.
Grouping & Aggregations.
Subquries & Nested Quries.
16. Advanced SQL Concepts
- Views.
- Stored Procedures.
- Functions.
- Triggers.
- Transactions.
- ACID properties.
- Window Functions.
- Common Table Expressions.
17. Data Science Introduction
What is Data Science.
Data Wrangling.
Exploratory Data Analysis (EDA).
Pandas, Seaborn, Matplotlib.
Feature Engineering.
Databases & SQL.
18. Machine Learning
Supervised Learning.
Unsupervised Learning.
Feature Selection & Scaling.
Model Selection & Evaluations.
19. Deep Learning
Neural Networks Basics (Perceptron, Backpropagation)
ANNs
CNNs image Classification.
RNNs, LSTMs Text, Time Series.
20. Natural Language Processing (NLP)
- Tokenization, Bag-of-words, TF-IDF.
- Word Embeddings (Word2vec, GloVe).
- Text Classification, Sentiment Analysis.
21. Computer Vision (CV) & YOLO
- Image Preprocessing (Resizing, Normalization, Augmentation).
- Feature Extraction with CNNs
- Image Classification, Object Detection, Segmentation.
22. GenAI
Introduction to Generative AI & LLMs.
Transformer Architecture & Foundation Models.
Retrieval-Augmented Generation (RAG).
Hands-on with LLMs.
Interface with Streamlit.
Tools & Technologies Covered
Our Data Science course covers essential tools and technologies such as Python, R, SQL, Power BI, and Tableau. You’ll also learn popular libraries like NumPy, Pandas, Matplotlib, and Scikit-learn to perform data analysis, visualization, and machine learning effectively.
Accredited Training Partners
Our partnerships with industry leaders ensure you receive certifications that employers value and recognize worldwide.
Data Science
The Engine of Modern Business Intelligence
In today’s digital era, Data Science drives automation, innovation, and smarter decision-making. Valued at around ₹12.5 lakh crore in 2024, the global Data Science market is projected to surpass ₹35 lakh crore by 2030. With organizations across industries investing in AI and analytics, the demand for skilled Data Scientists is rising rapidly — with Data Science-related roles expected to grow by over 40% in the coming years.
High Demand & Career Opportunities
Data Science is one of today’s most sought-after tech careers. Companies worldwide hire Data Scientists and ML Engineers to turn data into insights. Build a future-ready career with our industry-recognized certification.
Adoption Across Industries
From healthcare to finance and retail, every industry relies on Data Science for smarter decisions. Leading companies like Amazon, Google, and TCS use it to drive innovation and efficiency.
Driving the AI Revolution
With the rise of AI and automation, experts skilled in Python and Machine Learning are in high demand. Data Scientists help businesses grow through predictive analysis and data visualization.
Integration with Emerging Technologies
Data Science powers AI, Big Data, IoT, and Cloud Computing, enabling professionals to lead digital transformation and global innovation.
Why Build Your Career in Data Science?
With companies worldwide relying on data-driven decision making, Data Scientists have become some of the most sought-after professionals. According to LinkedIn, Data Science is among the top 3 fastest-growing careers, with job roles like Data Analyst, Machine Learning Engineer, AI Specialist, and GenAI Developer seeing exponential demand.
What Our Students Say
4.9
Based on 146+ reviews
The hands-on projects really helped me build confidence and improve my skills. Deena Sir is supportive, knowledgeable, and truly passionate about design. I highly recommend this course to anyone looking to start their journey in UI/UX!
Thanks for deena sir
Thank you so much sir ☄️
I don't know about this academy name and place my brother refere me to join here for one month internship. So I was think about the staff will be rude and etc. But here staff and group members so friendly manner and they know how to handle students and how to teach students and particularly I need tell about this place one of best teaching place is here and for intership and various course you can learn here. I love this place because of staff and group members so friendly
Transforming Dreams into Careers
Our students have secured roles in top companies like Deloitte, IBM, Accenture, and HCL. With lifetime placement support, mock interviews, and resume building, we make sure you’re always job-ready.
Lifetime Placement Support
Unlock endless career opportunities with our Lifetime Placement Support! We are committed to your success beyond course completion, offering continuous job assistance throughout your career journey.
Enjoy exclusive access to job portals, resume reviews, interview coaching, and personalized career guidance whenever you need it. Whether you’re looking for your first job or planning a career switch, our dedicated placement team is here to support you for a lifetime. Your success is our priority!
Get Certified as a Cloud Practitioner
Earn a globally recognized Data Science certification upon successful course completion. Showcase your expertise in Machine Learning, Deep Learning, and AI to employers worldwide.
- Globally recognized
Frequently Asked Questions (FAQs)
Got questions? We’ve got answers. Here are some common queries from our students.
Q1. Is this Data Science course suitable for beginners?
Yes! We start from Python basics and gradually move into Machine Learning, Deep Learning, and Generative AI. Even if you are from a non-IT background, you can learn step by step.
Q2. Do I need programming knowledge before joining?
No prior coding experience is required. We teach Python, SQL, and data handling from scratch.
Q3. Will I work on real-time projects?
Yes, you’ll build end-to-end projects in Machine Learning, AI, and GenAI, using real industry datasets (finance, retail, healthcare, e-commerce).
Q4. What kind of jobs can I get after this Data Science course?
Common job roles include Data Analyst, Data Scientist, Machine Learning Engineer, Business Analyst, and AI Specialist.
Q5. Do you provide placement assistance?
Yes! We offer resume building, mock interviews, and lifetime placement support through our hiring partners.
Q6. Is this Data Science course available online?
Yes. We offer both online and offline training with live mentor support and recorded sessions for revision.
Q7. How long does it take to complete the course?
The program usually takes 4–6 months, depending on your learning pace and chosen track.
Q8. Do you cover Generative AI (GenAI) and LLMs like ChatGPT?
Yes! We cover Transformer architecture, Retrieval-Augmented Generation (RAG), and hands-on with LLMs to prepare you for the future of AI.
Still have questions?
Our counselors are available 24/7 to help you with any queries
- +91 9994051212
- [email protected]