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Master Data Analytics + Gen AI & Agentic AI

Step Into Your Dream Company In Just 6 Months step-into1 step-into2 step-into3
  • Industry-ready Data Analyst Certification to start your Data Analytics career.
  • Learn Data Analytics with Gen AI & Agentic AI skills.
  • Gain hands-on experience with real-world projects and tools.
  • Get opportunities to work with top companies.
500,000
Students Trained
9+
Years Of Experience
20+
Expert Faculties
Data Analytics Course Banner

Admission closes

20 May 2026

Program Duration

6 Months

Learning Format

Offline, Online

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Key Highlights of the best Data Analyst Course in Noida

Master Python, SQL, Tableau, Gen AI & Agentic AI

100% Job Placement Assistance (400+ partners)

Internship Guaranteed

95% placement rate with 80% salary boost

Live + recorded sessions for flexibility

12+ real industry projects with AI integration

IIT Faculty & Gen AI Expert Mentorship

Lifetime Access to Course Materials & AI Updates

Key Highlights of Data Analytics Course

What Makes This data analyst course with placement Different

6-Month Intensive Training
Full transformation from beginner to AI-powered data analyst
Gen AI & Agentic AI Focus
Learn cutting-edge AI for advanced analytics
Gen AI Expert Faculty
Learn from IIT professors and Gen AI industry leaders
100% Placement Support
Guaranteed job assistance with 400+ hiring partners
20+ Professional Tools
Master latest analytics and AI platforms
Real AI Projects
Build portfolio with 12+ industry AI projects

Admission Closes On 20 May 2026

01 Days
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07 Hours
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59 Minutes
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Trusted by Leading Corporate Partners

Transform Data Into AI-Powered Career Success

Data analytics with AI is growing fast. Jobs are increasing by 40-50% through 2030. Our 6-month Data Analyst Certification Course transforms beginners into job-ready AI-powered data analysts.

What You'll Master:
  • Data collection, cleaning, and AI-powered analysis
  • Python programming and advanced SQL databases
  • Tableau, Power BI, and AI visualization tools
  • Gen AI tools for data insights and automation
  • Agentic AI for autonomous data processing
  • Machine learning with AI integration
Why Choose This Program:
  • Industry-leading curriculum by IIT and AI experts
  • Hands-on training with real AI datasets
  • Strong portfolio with 12+ AI projects
  • Lifetime access to AI resources and updates
  • 6,200+ successful alumni network
  • Exclusive Gen AI and Agentic AI specialization

Live Industry-Based Projects

Industry projects are a core part of our Data Analyst Course in Noida, designed to give you hands-on exposure to real-world data challenges before you step into the job market

project 1

Customer Retention Analysis - Predict customer churn using machine learning with telecom data

Tools Learned
project 2

Revenue Performance Dashboard - Interactive Tableau dashboards for sales analysis

Tools Learned
project 3

Banking Risk Assessment - Fraud detection system with statistical modeling

Tools Learned
project 4

Brand Sentiment Analysis - Social media and customer feedback analysis

Tools Learned
project 5

Healthcare Data Insights - Patient data analysis and treatment effectiveness

Tools Learned
project 6

Supply Chain Optimization - Inventory management and demand forecasting

Tools Learned
project 7

E-commerce Analytics - Customer behavior and recommendation systems

Tools Learned
project 8

Professional Capstone Project - End-to-end analytics solution for portfolio

Tools Learned

Our Trusted Academic Partners

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E&ICT Academy
IIT Roorkee
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E&ICT Academy
IIT Guwahati
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E&ICT Academy
IIT Kanpur
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NIT Patna
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RFRF Foundation
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IIT Jodhpur
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IIT Bhilai
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ABES College
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MSIT College
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ASTU Guwahati
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IPEC College
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IITM Janakpuri

Career Opportunities

A GenAI Analytics Engineer uses Artificial Intelligence tools like ChatGPT, LangChain, and Python to study data and find useful answers. They build smart systems that can answer questions, make reports, and help companies make better decisions automatically. It is one of the most exciting and highest-paying new jobs in technology today.

Hiring Companies

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A Data Analyst collects numbers and information from different places, cleans it, and studies it to find useful patterns. They use tools like Excel, SQL, and Power BI to make easy-to-read charts and reports that help companies grow and make smart choices.

Hiring Companies

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A Business Intelligence Analyst takes large amounts of business data and turns it into clear, useful reports and dashboards using tools like Power BI, Tableau, and SQL. They track how a company is performing, spot problems early, and help managers make better decisions faster.

Hiring Companies

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Master 20+ Industry-Leading AI Platforms

Learn 20+ powerful tools in our data analytics program that will change your work, boost productivity, and advance your AI skills!

Core Analysis Tools
  • Python (Pandas, NumPy, SciPy, AI libraries)
  • SQL (MySQL, PostgreSQL, AI integrations)
  • R Programming with AI packages
  • Microsoft Excel with AI features
Gen AI & Agentic AI Tools
  • ChatGPT API integration
  • Claude AI for data analysis
  • Google Bard for insights
  • Custom AI agent development
  • LangChain for AI workflows
  • AutoGen for multi-agent systems
Machine Learning & AI
  • Scikit-learn with AI boost
  • TensorFlow basics
  • Hugging Face transformers
  • OpenAI API integration

Skills You Will Master

Core Data Skills

Python, SQL, Statistics & Excel for data handling

Gen AI Integration

ChatGPT, Claude, Gemini for AI workflows

Agentic AI Development

Build autonomous AI agents

Data Visualization

Tableau, Power BI & interactive charts

Machine Learning

Prediction, regression & classification

Business Intelligence

Dashboards, KPIs & insights

Advanced Analytics

Modelling, testing & forecasting

Data Engineering

ETL, data cleaning & automation

Cloud Analytics

AWS, Azure, GCP solutions

Prompt Engineering

AI prompts for analysis & reporting

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Who Should Enroll in This Course?

Transform Your Career with a Comprehensive Data Analyst Course in Noida Designed for Every Learner

Students and Freshers
Students pursuing graduation from any stream
Graduates/ Post Graduates
Any Graduates / PG / Freshers / Experienced with no job
Working Professionals
Any Individual from a diverse working background
Data Scientists & Developers Any professionals and
researchers looking to upskill in Gen AI

Globally Recognized AI Analytics Credentials

After completing our Data Analyst Certification Course with Gen AI & Agentic AI, you earn a specialized certificate. This proves your skills in Python, SQL, Tableau, Gen AI tools, Agentic AI, and real-world AI analytics.

Globally Recognized Certification

Career Support

Credibility and Validation

Certificate 1

Course Certificate

Certificate 2

Internship Certificate

Master Data Analytics + Gen AI & Agentic AI Course Curriculum

  • Excel basics: formulas, functions (VLOOKUP, INDEX/MATCH, IF, SUMIF)
  • Pivot tables, charts, conditional formatting
  • Data cleaning & preprocessing in Excel
  • Mini Project: Analyze sales dataset with pivot tables & charts
  • Python environment setup (Anaconda/Jupyter/VS Code)
  • Variables, operators, data types
  • Control flow (loops, conditionals)
  • Functions & modules
  • Lists, tuples, sets, dictionaries
  • File handling (CSV, Excel, JSON)
  • NumPy arrays and operations
  • Mini Project: Basic Python ETL script
  • Series & DataFrames
  • Data cleaning: missing values, duplicates, data types
  • Merging, grouping, aggregations
  • Mini Project: Customer dataset cleaning & analysis
  • Mean, median, mode, variance, standard deviation
  • Skewness, kurtosis
  • Probability rules & distributions (Normal, Binomial, Poisson)
  • Mini Project: Explore sales dataset distribution
  • Sampling methods & Central Limit Theorem
  • Confidence intervals
  • Hypothesis testing (t-test, chi-square, ANOVA)
  • Mini Project: A/B testing for marketing campaign
  • Introduction to relational databases
  • SELECT, WHERE, ORDER BY
  • Aggregation: SUM, AVG, COUNT, GROUP BY, HAVING
  • Mini Project: SQL queries on HR dataset
  • Joins (INNER, LEFT, RIGHT, FULL)
  • Subqueries & CTEs
  • Window functions (ROW_NUMBER, RANK, LAG/LEAD)
  • Mini Project: Customer purchase analysis with SQL
  • Matplotlib basics (line, bar, scatter, histograms)
  • Seaborn for statistical plots (boxplot, violin, heatmap)
  • Visualization best practices
  • Seaborn advanced plots (pairplot, jointplot)
  • Time series visualization
  • Excel dashboards (interactive charts, slicers)
  • Mini Project: Sales dashboard in Excel
  • Difference: Data Analytics vs Business Analytics
  • Types: descriptive, diagnostic, predictive, prescriptive analytics
  • Identifying KPIs & business metrics
  • Mini Project: Define business KPIs for a retail dataset
  • Retail sales optimization
  • Customer segmentation basics (RFM analysis)
  • Case Study Project: Analyze retail dataset, present insights
  • Collect → Clean → Analyze → Visualize → Business Insights
  • Integrating Python + SQL + Excel in projects
  • Mini Project: Marketing data analysis pipeline
  • Finance: Risk analysis
  • Retail: Product performance analysis
  • HR: Attrition analysis
  • Students pick 1 domain project
  • Problem definition
  • Data exploration & cleaning
  • Applying statistics, SQL, visualization
  • Draft insights & business recommendations
  • Final capstone project presentation
  • Peer/instructor feedback
  • Portfolio preparation (GitHub, LinkedIn, Resume)
  • Mock interview with business case discussion
  • What is Generative AI? (text, images, audio, code)
  • LLM basics: GPT, LLaMA, Mistral
  • Key use cases in business & analytics
  • Types of prompts (zero-shot, few-shot, chain-of-thought, role prompting)
  • Prompt optimization techniques
  • Hands-on: Build a chatbot with OpenAI API / HuggingFace
  • Using GenAI for data cleaning & transformation (pandas + AI assist)
  • Automating SQL query generation with LLMs
  • AI-assisted visualization & storytelling
  • Mini Project: "Ask the Data" AI assistant (text-to-SQL or text-to-chart)
  • Fine-tuning vs. prompt-tuning basics
  • Using vector databases (Pinecone, FAISS) for RAG (Retrieval Augmented Generation)
  • Business use cases: Customer insights assistant, automated reporting
  • Mini Project: RAG-based business Q&A bot
  • What is an AI Agent? (autonomy, memory, reasoning, tool use)
  • Frameworks: LangChain, LlamaIndex, AutoGPT
  • Multi-agent systems overview
  • Agents that query SQL databases automatically
  • Agents for reporting & visualization generation
  • Business scenarios: Automating customer queries, HR analytics assistant
  • Hands-on: Build an AI agent that pulls from SQL + generates report
  • Orchestration of multiple agents
  • Combining APIs, databases, and analytics workflows
  • AI copilots for decision support (finance, marketing, operations)
  • Mini Project: Agent for marketing campaign analysis
  • Choose a real-world project:
    1. AI-powered sales forecasting assistant
    2. Customer support AI agent with knowledge base
    3. Automated financial dashboard generator
    4. Churn prediction + AI insights explainer
  • Final presentation + portfolio setup (GitHub/LinkedIn)

Admission Closes On 20 May 2026

Master Data Analytics + Gen AI & Agentic AI Course Fee

Special Corporate Enrollment Pricing Enroll before 20 May 2026 to avail additional 10% early bird discount.

₹45,999/-

Easy monthly payments & scholarships available

Avail Scholarship Up To 30%

Start Your Learning Journey, Today
Batch Almost Full - Only 7 Seats Left
  • Align your goals with a Learning Consultant.
  • Align your goals with a Learning Consultant.
  • Align your goals with a Learning Consultant.
  • Align your goals with a Learning Consultant.

Admission Process

The program follows 4 simple steps. Selected candidates receive an admission offer, confirmed after fee payment.
  • 01

    Online Application Form Fill out the form; our Admission Head will contact you.

  • 02

    Screening Process Your application is reviewed for eligibility.

  • 03

    Scholarship & Offer Letter Apply for scholarship (optional) and receive offer if selected.

  • 04

    Admission & Batch Allotment Complete payment, get credentials, and start learning.

Student Admission Process

Admission Form

Upload Your Resume

Drag & Upload Or Choose File To Upload (only pdf, doc and docx having max size 2MB)

Career Services You Will Get

Our Data Analyst Course in Noida provides end-to-end career services from resume building to final placement.

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Interviews With Top Companies
Interviews With Top Companies

Gain access to exclusive interview opportunities upon successfully submitting projects. Be considered for roles by over 400+ hiring partners.

100% Placement Support
100% Placement Support*

Enjoy guaranteed placement support after completing the program and meeting the defined passing criteria.

Mock Interview Guidance
Mock Interview Guidance

Participate in multiple mock interviews led by industry experts, with comprehensive feedback to improve your performance.

1-On-1 Mentoring Sessions
1-On-1 Mentoring Sessions

Engage in personalized mentoring sessions to develop the skills and mindset necessary to secure your dream job.

Industry Oriented Sessions
Industry-Oriented Sessions

Attend interactive live sessions guided by industry experts, designed to help you enhance your professional attitude and technical skills.

Resume & LinkedIn Profile
Resume With LinkedIn & GitHub Profile Assistance

Receive expert guidance on curating an impressive resume and LinkedIn profile, increasing your chances of catching the attention of top recruiters.

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Early Bird Offer Ends 20 May 2026 - Don't Miss Out!

Start Your Data Analytics + Gen AI & Agentic AI Journey Today!

Batch Almost Full Get Up to 30% Scholarship + FREE Demo Class

Frequently Asked Questions (FAQs)

It's a 6-month online training where you learn data analytics + AI skills to get a good job as a Data Analyst.

Any graduate B.Tech, BCA, BBA, B.Com, BSc, MBA or a working person who wants to learn data and AI.

No. We teach everything from scratch. Just basic computer knowledge is enough.

Live online classes for 6 months. Recorded videos are also available. Delhi/NCR students may get offline options too.

Excel, SQL, Python, Power BI, Tableau, Generative AI, Prompt Engineering, LangChain, and Agentic AI.

It's AI that can do tasks on its own like pulling data, cleaning it, and making reports without your help.