Generative AI

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Advanced Data Science & Generative AI with Visualization Tools

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Advanced Data Science & AI Certification Program.

Comprehensive Data Science, Generative AI & Analytics Training

Hands-on Practical Learning with Real-World Business Applications

Training on the latest technologies including Generative AI and Agentic AI Automation Systems

Group Enrollment with Friends or Colleagues

Advanced Data Science & Generative AI with Visualization Tools

Course Duration

640 Hours

Next Batch

Very Soon

Course Material

Live. Online. Interactive.

Expertise in Big Data tools including Hadoop, Spark, SQL, and NoSQL technologies.

In-depth learning of Tableau, Power BI, and modern data visualization techniques.

Learn from experienced industry professionals with strong analytics and AI expertise.

Prepare for high-demand careers in Data Science, Analytics, Generative AI, and intelligent automation.

Highlight Advanced Data Science & Generative AI with Visualization Tools

KEY HIGHLIGHTS OF ADVANCED DATA SCIENCE & GENERATIVE AI WITH VISUALIZATION TOOLS PROGRAM

Weekly sessions with industry professionals
Dedicated Learning Management Team
640 hours of hands-on learning experience
Over 240 hours live sessions spread across 11 months
240 hours of self-paced Learning
Learn from IIT Faculty & Industry experts

More than 60+ industry-related projects and case studies
Personalised mentorship sessions with industry experts
24*7 Support
Dedicated Learning Management Team
1:1 Mock Interview
No-Cost EMI Option
Designed for both working professionals and fresh graduates
High Demand and Career Opportunities
Competitive Edge and Innovation
Problem-Solving and Critical Thinking

WHY JOIN ADVANCED DATA SCIENCE & GENERATIVE AI WITH VISUALIZATION TOOLS PROGRAM?

Comprehensive Learning

Gain strong expertise in Data Science, Generative AI, Big Data, visualization tools, and intelligent analytics systems.

Real-World Application

Apply practical knowledge through hands-on projects, dashboards, AI case studies, and business-driven solutions.

Cutting-Edge Skills

Stay ahead in the industry with training in the latest technologies like Generative AI and advanced Big Data tools.

Career Growth

Build industry-ready skills and unlock opportunities in Data Science, AI, Business Intelligence, and analytics roles.

UPCOMING BATCH:

Very Soon

SkillzRevo Solutions

30 MINUTE MEETING

Web conferencing details provided upon confirmation.

Corporate Training, Enterprise training for teams

Batch schedule

Batch	Batch Type
Online Live Instructor Led Session	Full-Time
Online Live Instructor Led Session	Part-Time

Regional Timings

Batch	Batch Type
IST (India Standard Time)	09:00 PM–12:00 AM
Bahrain, Qatar, Kuwait, Saudi Arabia	06:30 PM–09:30 PM
UAE / Oman	07:30 PM–09:00 PM

Advanced Data Science & Generative AI with Visualization Tools OVERVIEW

Advanced Data Science & Generative AI with Visualization Tools is a Data Science and Machine Learning course, a Data Science course with real-world projects and an industry oriented Data Science program. It is ideal for learners looking for a Data Science course with Python, an online Data Science course in India and a Data Analytics course with Excel, SQL and Power BI. This job oriented Data Science course delivers advanced training in Machine Learning, Deep Learning, Computer Vision and NLP, combined with practical data management and modern visualization techniques. Learners gain hands-on experience with SQL, Advanced Excel, Power BI and large-scale data platforms, while applying Generative AI to solve complex, real-world problems. The program prepares professionals to transform data into evidence-based insights and drive confident, data-driven decision making across industries.

ENROLL NOW, BOOK YOUR SEAT & AVAIL UPTO 30% FEE WAIVER

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Advanced Data Science & Generative AI with Visualization Tools Objectives

This program is designed to provide learners with an in-depth understanding of advanced Data Science, Artificial Intelligence, and Generative AI technologies. The course develops strong expertise in Machine Learning, Deep Learning, Computer Vision, NLP, Big Data technologies, and intelligent analytics systems. Learners gain hands-on experience with practical data management, SQL, Advanced Excel, Tableau, Power BI, Hadoop, Spark, and modern visualization techniques to solve real-world business problems. The program also introduces Generative AI, RAG, AI automation, and intelligent data-driven solutions to help learners build scalable and innovative applications. The primary objective is to equip participants with the skills required to transform complex data into actionable insights, support strategic decision-making, and drive innovation across industries.

Enroll Now →

Why Learn Advanced Data Science & Generative AI with Visualization Tools ?

Comprehensive Skill Development

Gain expertise in Data Science, Machine Learning, Deep Learning, Generative AI, and advanced analytics technologies.

Industry-Relevant Knowledge

Learn the latest advancements in AI, Big Data, visualization tools, and intelligent automation systems.

Hands-On Experience

Work on practical exercises, real-world projects, dashboards, and AI-driven business case studies.

Data Management Mastery

Develop strong skills in SQL, Big Data tools, data visualization, and large-scale data processing techniques.

Versatile Career Opportunities

Unlock high-demand career opportunities in Data Science, AI, Analytics, Business Intelligence, and Big Data domains.

Cutting-Edge AI Applications

Explore Generative AI, RAG, AI automation, and intelligent systems transforming modern industries.

Professional Growth

Build practical expertise to support data-driven decision-making and lead impactful AI and analytics projects.

Integrated Visualization Tools

Master Tableau, Power BI, Advanced Excel, and modern visualization platforms for effective business reporting.

Program Advantages

Learn a wide range of Data Science, Big Data, Generative AI, and analytics technologies for comprehensive skill development.

Gain hands-on experience with real-world datasets, dashboards, AI projects, and business case studies.

Learn from experienced industry professionals with expertise in analytics, AI, and intelligent business solutions.

Understand how Machine Learning, Big Data, Generative AI, and visualization tools work together to solve complex problems.

Master Tableau, Power BI, Advanced Excel, and modern visualization platforms for impactful data storytelling.

Build expertise in handling large-scale data using Hadoop, Spark, SQL, and NoSQL technologies.

Develop industry-ready skills that are highly valuable across Data Science, AI, and analytics domains.

Enhance your career opportunities with practical knowledge of modern tools and next-generation AI technologies.

Advanced Data Science & Generative AI with Visualization Tools program Certifications

Advanced Data Science & Generative AI with Visualization Tools Curriculum

Lecture 01: Introduction to Python

Lecture 02: Operators and Conditional Statements

Lecture 03: Lambda Functions, *args, **kwargs, Functions

Lecture 04: Data Structures - List, Tuple, and List Comprehensions

Lecture 05: Data Structures - Set and Dictionaries

Lecture 06: Classes, Objects and Constructors, Inheritance

Lecture 07: Polymorphism, Abstraction and Encapsulation

Lecture 08: Connecting to Databases

Lecture 09: Introduction to Numpy and Pandas

Lecture 10: Introduction to Seaborn and Matplotlib

Lecture 11: Introduction to Statistics, Descriptive Statistics, Sample, Population, Major of Central Tendency, Standard Deviation

Lecture 12: Variance, Range, IQR, Outliers, Correlation, Covariance Skewness, Kurtosis, Probability

Lecture 13: Probability, Probability distributions, Central Limit Theorem, Binomial and Poisson Distribution

Lecture 14: Normal Distribution, Type I & Type II Error

Lecture 15: T-test, Z-test, Hypothesis Testing

Lecture 16: Introduction to ML, Types of variables, Encoding, Normalization, Standardization, Types of ML, Linear Regression

Lecture 17: Linear Regression, Logistic Regression, SVM, KNN, Naïve Bayes, Decision Tree, Random Forest

Lecture 18: Mean Absolute Error, Mean and Root Mean Square Error, Confusion Matrix, R2 Score, Adjusted R2 Score, F1 Score

Lecture 19: Classification Report, AUC ROC, Accuracy, Ensemble Techniques, Random Forest, Xgboost

Lecture 20: Unsupervised Machine Learning, PCA, Clustering, k-Means Clustering and Hierarchical clustering

Lecture 21: Introduction to Neural Network, Forward Propagation, Activation Function

Lecture 22: Activation Function (Linear, Sigmoid, Relu, Leaky Relu), Optimizers, Gradient Descent, Stochastic Gradient Descent

Lecture 23: Mini Batch Gradient Descent, Adagrad, Padding, Pooling, Convolution

Lecture 24: Checkpoints and Neural Networks Implementation and Introduction to Time Series Analysis

Lecture 25: Various components of the TSA, Decomposition Method (Additive Method and Multiplicative)

Lecture 26: ARMA and ARIMA

Lecture 27: Basic of Database, Types of Database, Data Types, SQL Operators, Expression, Create, Insert

Lecture 28: Drop, Truncate, Delete, Alter, Update, Select, Range, Operator, IN, Wildcard, Like, Clause

Lecture 29: Constraint, Aggregation Function, Group by, Order by, Having

Lecture 30: Joins, Case, Complex Queries, Doubt Clearing

Lecture 31: Tableau Desktop, Tableau products

Lecture 32: Data import, Measures, Filters

Lecture 33: Data transformation, Marks, Dual Axis

Lecture 34: Manage worksheets, Data visualization, Dashboarding, Project

Lecture 35: Power BI Platform, Process Flow

Lecture 36: Features, Dataset, Bins

Lecture 37: Pivoting, Query Group, DAX Function

Lecture 38: Formula, Charts, Reports, Dashboards

Lecture 39: Bookmarks and Buttons, Conditional Formatting and Sorting, and Report Layout and Interaction

Lecture 40: Tabular Visuals, Modelling and Calculations, Advanced Data Modelling Scenarios and DAX in Power BI

Lecture 41: Introduction, SQL vs NoSQL, Data Model, Data types, Object ID, Data type, Binary Data, Date, Null, Boolean, Integer, String

Lecture 42: Collection method, queries, CRUD Operation, Insert, Find, Update, Delete, Validate, Bulk write, Delete one

Lecture 43: Introduction to Java, Installation, Syntax main()/printIn()/print()/ Variable [String, Int, Boolean, float, char], Datatypes, Operators

Lecture 44: Conditions, Loop, Methods, Class, File Handling

Lecture 45: Types of Data, Introduction to Big Data (History, V's of Big Data, Advantages & Disadvantages of Big Data), Big Data Applications in Various Sectors, Introduction to Hadoop, Scaling (Horizontal and Vertical), Challenges in Scaling, Parallel Computing, Distributed Computing and Hadoop, Hadoop Tools Overview, Big Data Analytics Lifecycle

Lecture 46: On-Premises Installation Oracle Virtual Box and setup of VM & Ubuntu, Basic Linux command, Download and Installation of Hadoop, Introduction to Hadoop, Core components of Hadoop, Hadoop working, Principle

Lecture 47: VM creation on Cloud (AZURE), Configuration & Insight to Single Node Hadoop Deployment (bsshrc, hadoop-env, core-site, hdfs-site, mapred-site, yarn-site), Format HDFS Namenode.

Lecture 48: HDFS Architecture, Hadoop Commands and Implementation

Lecture 49: MapReduce, MapReduce Implementation

Lecture 50: Introduction to Hive, Hive Installation, Hive Implementation

Lecture 51: Hive Query Language, SQL Operations

Lecture 52: HIVE_SQL Operations

Lecture 53: Installation of Spark, PySpark, Introduction to Sqoop, Installation of Sqoop

Lecture 54: PySpark Query, Installation of HBase, HBase Query

Lecture 55: PIG Installation and Query

Lecture 56: PIG Query, Oozie

Lecture 57: Flume and Doubt Clear

Lecture 58: Introduction to Image Processing, Feature Detection, OpenCV

Lecture 59: Convolution, Padding, Pooling & its Mechanisms

Lecture 60: Forward Propagation & Backward Propagation for CNN

Lecture 61: CNN Architectures like AlexNet, VGGNet, InceptionNet, ResNet, Transfer Learning

Lecture 62: Introduction to Text Mining, Text Processing using Python and Introduction to NLTK

Lecture 63: Sentiment Analysis, Topic Modeling (LDA) and Named Entity Recognition

Lecture 64: BERT (Bidirectional Encoder Representations from Transformers), Text Segmentation, Text Mining, Text Classification

Lecture 65: Automatic Speech Recognition, Introduction to Web Scraping

Lecture 66: RL Framework, Component of RL Framework, Examples of Systems

Lecture 67: Types of RL Systems, Q-Learning

Lecture 68: Evolution of AI (Rule-based → ML → GenAI → Agentic AI), Hype vs Reality, Industry Adoption of GenAI, Ethical & Responsible AI

Lecture 69: How Generative AI Works: LLM intuition, Tokens, Embeddings, Context Window, Capabilities & Limitations (Hallucination, Bias, Cost)

Lecture 70: Multimodal AI Systems: Text, Image, Tables, Documents. Industry Applications. Case Study: Invoice and financial report understanding

Lecture 71: Core Generative AI Tasks: Text generation, Classification, Summarization, Question Answering. Hands-on Case Study: Resume screening and document summarization

Lecture 72: Prompt Engineering Fundamentals: Zero-shot, Few-shot, Role Prompting, Prompt Templates. Case Study: Marketing content generation

Lecture 73: Advanced Prompting: Prompt Debugging, Guardrails, Prompt Evaluation, Response Optimization. Hands-on Case Study: Improving incorrect chatbot responses

Lecture 74: Retrieval-Augmented Generation (RAG): Embeddings, Vector Search, RAG Architecture. Hands-on Case Study: Chat with company policy documents

Lecture 75: Multimodal RAG: Text + Image + Table Retrieval, Document Intelligence. Case Study: Invoice and scanned document Q&A system

Lecture 76: Introduction to Agentic AI: Agent vs Chatbot Workflow, Agent Lifecycle, Levels of Autonomy, Human-in-the-loop Systems. Case Study: AI Research Assistant

Lecture 77: Agent Architecture & Design Patterns: Planner-Executor-Evaluator, ReAct Pattern, Tool-Use Pattern, Reflection. Hands-on Case Study: Recruiter Agent design

Lecture 78: Agent Memory, Tools & Planning: Short-term vs Long-term Memory, Tool Calling, Feedback Loops. Case Study: Customer support agent with memory

Lecture 79: Agent Framework Internals (Conceptual): How frameworks manage chains, agents, tools and memory. Positioning of LangChain. Design considerations without deep syntax

Lecture 80: LLM Fine-Tuning from an Industry Perspective: Prompting vs RAG vs Fine-Tuning, PEFT and LoRA concepts, Cost, Risk and Governance Considerations

Lecture 81: No-Code and Low-Code Agentic AI: Use cases, Benefits and Limitations, Visual Agent Design. Demo: No-code content or support agent

Lecture 82: Capstone Design Session: End-to-End Generative AI and Agentic AI Solution. Hands-on Project: AI Customer Support Supervisor Agent

Advanced Data Science & Generative AI with Visualization Tools Skills Covered

Proficiency in Programming

Statistical Analysis

Advanced Machine Learning Techniques

Deep Learning and AI Techniques

Computer Vision Techniques

Natural Language Processing Techniques

Reinforcement Learning Techniques

Advanced Data Analysis in Excel

Data Analysis and Visualization

SQL querying

NoSQL Database Management

Big Data Management

Hadoop ecosystem tools

Spark Data Processing and Analytics

Transformer architectures Language Modeling

Generative Pre-trained Transformers (GPT)

Image Generation

Large-scale image synthesis

Generative Adversarial Networks (GANs)

Retrieval-Augmented Generation (RAG)

Advanced Data Science & Generative AI with Visualization Tools Tools Covered

Advanced Data Science & Generative AI with Visualization Tools Program Benefits

CAREER OPPORTUNITIES AFTER THIS COURSE

AI Product Manager Salary Range

Min

$100,000

Average

$145,000

Max

$190,000

MASTER GANS, TRANSFORMERS & DEEP LEARNING WITH REAL PROJECTS

Practice Essential Tools

Get Real-world Experience

Machine Learning

NO. OF PROJECTS: 10

Deep Learning

NO. OF PROJECTS: 10

Generative AI

NO. OF PROJECTS: 8

Capstone Projects of this Program

Multimodal Text-to-Image Generator

A system that creates high-quality, realistic images from descriptive text inputs, blending multiple data types for creative visual output.

AI Music Composer with Genre Adaptation

An AI tool that generates original musical compositions while adapting to specific genre styles, tempo, and mood preferences.

Realistic Deepfake Video Synthesizer

A tool that realistically manipulates and synthesizes video content to create authentic-looking deepfake footage for various applications.

Personality-Driven Conversational AI Assistant

A chatbot designed to interact with a distinct and consistent personality, providing a more natural and engaging user experience.

Artistic Style Transfer Engine for Videos

A program that applies the artistic style of a source image to every frame of a video, creating a new, stylized visual experience.

Context-Aware Text Summarization System

An advanced system that generates concise summaries of long texts by understanding the document's broader context and key information.

Voice Cloning and Speech Style Transfer Tool

A tool that replicates a speaker's voice and transfers a specific speech style or emotion to new synthesized audio content.

Interactive AI Storyteller with Image Generation

An AI that collaboratively creates stories with users, dynamically generating scenes and characters based on a developing narrative.

Synthetic Data Generator for Model Training

A system that produces large and diverse datasets for machine learning models, overcoming data scarcity for effective training.

AI-Powered Video Subtitle Generator and Translator

An automated solution that transcribes spoken language in videos and translates it into accurate subtitles for global accessibility.

Generative Design Tool for Product Prototyping

An AI application that rapidly generates numerous product design prototypes based on a set of constraints and functional requirements.

RAG-based Research Assistant (Retrieval-Augmented Generation)

An intelligent assistant that answers complex queries by retrieving relevant information from large documents and generating coherent responses.

Multilingual Chatbot with Memory and Personality

A conversational agent that can communicate in multiple languages while maintaining a consistent personality and recalling past interactions.

AI-Powered Comic Strip Generator from Text Prompts

A tool that creates unique comic strips by converting user text prompts into sequential images with a consistent artistic style.

Explainable AI Engine for Text Classification

An AI system that classifies text and provides clear, understandable reasons for its decisions, ensuring transparency and trust.

Autonomous Slide Generator from Research Papers

An AI that automatically extracts key findings and data from research papers to create well-structured, presentable slide decks.

AI Assistant for Code Generation and Explanation

A helpful tool that writes code snippets and explains complex programming logic in simple terms, assisting developers with their tasks.

AI-Driven Marketing Content Generator Across Formats (text, image, video)

A unified platform that produces marketing materials in various formats, including text, images, and videos, from a single campaign brief.

Real-Time Emotion Detection and Response AI System

A system that identifies human emotions from facial expressions or speech and generates appropriate, empathetic responses in real time.

Job Obligation After This Course

WE CAN APPLY FOR JOBS IN

Analyze large datasets to identify trends, patterns, and insights to inform business decisions.

Design, develop, and deploy machine learning and AI models to solve specific problems.

Manage and maintain data pipelines, ensuring data quality and integrity across systems.

Develop and present data visualizations and reports to communicate findings effectively.

Implement and optimize algorithms for machine learning, deep learning, and AI applications.

Work with other departments to understand data needs and provide analytical support.

Integrate various data science and AI tools to create comprehensive solutions for complex problems.

Address and resolve data-related challenges and issues that arise in projects or operations.

Stay updated with the latest advancements in data science, AI, and related technologies.

Document processes, models, and findings to ensure reproducibility and clarity in your work.

Companies Hiring for this Course

Admission Process

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

Course Fees & Financing

Course Fees

Upto

30%

Off

In USD

$2999

In INR

₹2,49,999

Inclusive of All Taxes

Enroll Now →

Payment Partners

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.

UPCOMING BATCHES/PROGRAM COHORTS

Batch	Date	Time (IST)	Batch Type
Online Live Instructor Led Session	Very Soon	9 PM to 12 AM	Batch 1
Online Live Instructor Led Session	Very Soon	9 PM to 12 AM	Batch 2

COMPARISON WITH OTHERS

Feature	Our Course	COMPETITOR A	COMPETITOR B
Comprehensive Coverage	Extensive range including data science, AI, Big Data, and visualization tools	May focus on narrower set of tools or specific domains	General AI, Big Data, and visualization tools
Hands-On Experience	Emphasis on practical projects and real-world datasets	May offer limited practical experience or fewer projects	Hands-on projects mainly in traditional AI
Cutting-Edge Technologies	Includes the latest advancements like Generative AI	May not cover the latest technologies or focus on older tools	Basic tools covered
Big Data Tools	Covers Hadoop, Spark, NoSQL, MongoDB	May not include all Big Data tools or have limited coverage	Basic Big data tools
Visualization Tools	Extensive training in Tableau and Power BI	May focus on one visualization tool or offer less depth	Basic tools knowledge
Expert Instruction	Led by industry professionals with deep experience	May vary in instructor experience and industry relevance	University Instructors
Career Advancement	Prepares for a wide range of high-demand roles	May have a narrower focus or fewer career opportunities	No opportunities
Program Flexibility	Suitable for beginners to experienced professionals	May be tailored to specific experience levels or needs	May be tailored to specific experience levels or needs

Official Partnership Recognition

Proud to be a Recognised Skilling Partner of IT-ITeS SSC Nasscom

Verified

Certificate of Partnership

SkillzRevo Solutions Private Limited

Partnership Details

Organization

SkillzRevo Solutions Private Limited

Recognition Status

Recognised Skilling Partner

Certifying Authority

IT-ITeS SSC Nasscom

Validity Period

24/11/2025 - 24/11/2026

FutureSkills Prime Initiative

A MeitY - Nasscom Digital Skilling Initiative empowering professionals with cutting-edge IT skills

Active Partnership

10+

Year Partnership

100%

Certified

Committed to Excellence in Digital Skilling

As a recognized skilling partner, we are dedicated to delivering world-class IT training and development programs aligned with industry standards and government initiatives.

Skill IndiaIT-ITeS SectorNasscom Certified

Advanced Data Science & Generative AI with Visualization Tools

Course Duration

Next Batch

Course Material

KEY HIGHLIGHTS OF ADVANCED DATA SCIENCE & GENERATIVE AI WITH VISUALIZATION TOOLS PROGRAM

WHY JOIN ADVANCED DATA SCIENCE & GENERATIVE AI WITH VISUALIZATION TOOLS PROGRAM?

Comprehensive Learning

Real-World Application

Cutting-Edge Skills

Career Growth

UPCOMING BATCH:

SkillzRevo Solutions

Batch schedule

Regional Timings

Advanced Data Science & Generative AI with Visualization Tools OVERVIEW

Advanced Data Science & Generative AI with Visualization Tools Objectives

Why Learn Advanced Data Science & Generative AI with Visualization Tools ?

Comprehensive Skill Development

Industry-Relevant Knowledge

Hands-On Experience

Data Management Mastery

Versatile Career Opportunities

Cutting-Edge AI Applications

Professional Growth

Integrated Visualization Tools

Program Advantages

Advanced Data Science & Generative AI with Visualization Tools program Certifications

Advanced Data Science & Generative AI with Visualization Tools Curriculum

Advanced Data Science & Generative AI with Visualization Tools Skills Covered

Advanced Data Science & Generative AI with Visualization Tools Tools Covered

Advanced Data Science & Generative AI with Visualization Tools Program Benefits

CAREER OPPORTUNITIES AFTER THIS COURSE

AI Product Manager Salary Range

MASTER GANS, TRANSFORMERS & DEEP LEARNING WITH REAL PROJECTS

Capstone Projects of this Program

Job Obligation After This Course

Companies Hiring for this Course

Admission Process

Course Fees & Financing

UPCOMING BATCHES/PROGRAM COHORTS

COMPARISON WITH OTHERS

Official Partnership Recognition

Partnership Details

FutureSkills Prime Initiative

Committed to Excellence in Digital Skilling

Frequently Asked Questions