• Program Duration

    7 months
  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    IITM Pravartak Advantage

    Earn a program completion certificate from IITM Pravartak and Simplilearn

    Earn a program completion certificate from IITM Pravartak and Simplilearn

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    IBM's Industry Prowess

    Earn industry-recognized certificates for IBM courses

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    Applied Learning Approach

    Gain practical experience with hands-on projects and 15+ tools with access to integrated labs

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    AI-Powered Job Assistance

    Access AI-powered resumes and LinkedIn updates, 1:1 mock interviews & custom job opportunities

Corporate Training

Enroll your employees into this program, NOW!

AI-Powered Data Analytics Course Overview

Develop end-to-end expertise in AI-powered data analytics through a comprehensive, industry-aligned curriculum. Master SQL and Python for data manipulation, leverage Power BI and cloud AI tools for intelligent insights, and build AI agents to automate modern data analysis workflows.

Key Features

  • Earn a prestigious program completion certificate from IITM Pravartak and by Simplilearn
  • Learn through structured, live online sessions taught by seasoned Data and AI Industry experts
  • Live classes by top industry experts and masterclass by IITM Pravartak Faculty
  • Master data analytics with 15+ AI-integrated tools, including SQL, Power BI,  CrewAI many more from foundational to advanced skills
  • 11+ Hands-on industry projects including multiple real-world applications and a capstone project
  • 15+ Skills covered with understanding ETL workflows, visualization skills, web analytics along with building AI Agents for data analytics automation
  • Attend a 2-day campus immersion at IIT Madras Research Park. Experience for hands-on learning and networking.
  • Deep dive into cutting-edge AI analytics tools and case studies

AI-Powered Data Analytics Course Advantage

This data analytics program leverages IITM Pravartak's academic excellence. Acquire expertise in analysis, visualization, cloud AI tools, Deep learning, automated AI agents, real-world projects, and earn industry-recognized certificates.

  • Program Certificate

    IITM Pravartak

    • Earn a program certificate directly from IITM Pravartak Technologies Foundation within 90 days of program completion
    • Become eligible for a 2-Day campus immersion at IIT Madras Research Park
  • IBM Certificate

    IBM Certificate

    • Get an official course completion badge/certificate hosted on the IBM Learn portal
    • Acquire an official IBM course completion transcript

AI-Powered Data Analytics Course Details

The journey begins with ETL, shaping raw data for analysis. You master SQL and Python, then build AI-enhanced dashboards in Excel, Power BI, and Tableau. You advance into predictive models, Deep learning, cloud tools, AI-driven analytics, and autonomous AI agents through hands-on projects.

Learning Path

Electives:
    • Create interactive Tableau dashboards
    • Learn to apply storytelling techniques
    • Manage data sources
    • Perform visual analytics
    • Customize visuals
    • Explore use cases of Generative AI in data analytics
    • Apply GenAI tools for data preparation and analysis
    • Create data visualizations and storytelling with GenAI
    • Develop Python code using Generative AI platforms
    • Assess ethical implications of GenAI in data analytics
  • Attend an exclusive live online masterclass to explore the power of AI-driven data analytics. Learn about the latest advancements, real-world use cases, and intelligent frameworks that enable faster, smarter decision-making. Discover how AI transforms data into actionable insights and drives impactful business outcomes across industries.

16+ Skills Covered

  • Data Analytics Lifecycle
  • ETL Workflow Understanding
  • SQL
  • Python
  • Power BI Smart Narrative with AI
  • Tableau
  • Predictive Analytics
  • Machine Learning
  • Generative AI
  • AI Automation for Data Analysis
  • Cloud AI Platforms
  • Data Storytelling
  • AI Powered Excel and Copilot
  • Deep Learning with TensorFlow
  • Mathematics and Statistics
  • Data Analysis and Visualization

21+ Tools Covered

DA_ZapierDA_N8NDA_SQLDA_PowerBIDA_MakeDA_LangchainDA_IBMDA_excelDA_GoogleAnalyticsDA_firebaseDA_crewaiDA_CopilotAIM_PandasAIM_PythonAIM_SkitlearnAIM_SeabornAIML_MatplotlibAIML_Hugging FaceAIML_Google ColabAIML_OpenAIAIM_LangGraph

Industry Projects

  • Project 1

    AI Powered Lead Management Automation

    Automate lead management with AI-based categorization, email alerts, and weekly reporting using tools like n8n.

  • Project 2

    Retail Sales Performance Analysis

    Build AI-driven Excel dashboards to analyze retail sales, profit, and customer trends using Microsoft 365 Copilot.

  • Project 3

    Retail POS Data Analysis with SQL

    Use SQL to clean, query, and analyze POS data for customer insights, product trends, and data-driven business decisions.

  • Project 4

    Marketing Campaign Impact Analysis

    Analyze marketing data using Python, build regression models, and visualize insights to optimize campaign performance.

  • Project 5

    Airline Operations and Delay Analysis

    Create interactive Power BI dashboards with Smart Narratives to track airline performance and delay causes.

  • Project 6

    Telecom Customer Churn Prediction

    Build churn prediction models for telecom data using supervised ML and interpret results with SHAP and ROC-AUC metrics.

  • Project 7

    Cloud AI Business Insights and Automation

    Design cloud-powered dashboards using Google Gemini and RowsAI for forecasting, anomaly detection, and insights.

  • Project 8

    AI Agent Driven Sales and Marketing Analytics

    Build autonomous analytics agents using LangChain and CrewAI for data cleaning, summarization, and report automation.

  • Project 9

    Customer Conversion and Sales Intelligence Dashboard

    Design AI-powered Tableau dashboards with Einstein Analytics to track conversions and forecast sales performance.

  • Project 10

    Loan Approval Fairness Analysis

    Conduct bias audits on ML models, apply fairness metrics, and document governance artifacts like model cards and datasheets.

  • Project 11

    AI Powered Business Optimizer Capstone

    Develop an end-to-end AI analytics solution using ML, agents, and visualization to solve real business challenges.

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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An Immersive Learning Experience

Peer to Peer engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Peer to Peer engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Mentoring session(s)
Learning Support

Program Advisors and Trainers

Program Advisors

  • Raghav Goel

    Raghav Goel

    Generative AI & Data Science Consultant

    A passionate and successful corporate trainer who has delivered 150+ training sessions for corporates in India, Middle East, USA, and South East Asia for corporate clients like Publicis Sapient, KPMG, Capgemini, Coforge, ITC, DXC, Huawei, and IBM.

  • Amitendra Srivastava

    Amitendra Srivastava

    Chief Data Scientist at Intelytica

    Amitendra’s expertise lies in utilizing data analysis and machine learning techniques to solve complex business problems and drive strategic decisions. As Chief Data Scientist, he leverages the power of data to create value and drive innovation.

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Program Trainers

  • Amit Goyal

    Amit Goyal

    10+ years of experience

    Data Science Corporate Trainer

  • Mohammed Sadiq

    Mohammed Sadiq

    24 years of experience

    Data Analytics Expert

  • Amit Yadav

    Amit Yadav

    15+ years of experience

    Analytics Lead

  • Azim Ahamed

    Azim Ahamed

    10+ years of experience

    Data Science Corporate Trainer

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Data Analytics Industry Trends

The India data analytics market is growing at a CAGR of 27.4% from 2026 to 2035. Businesses are in a need for professionals who can make faster decision with analytics. Mastering DA with AI puts you at the center of faster growth and premium careers.

Job Icon$1.5 trillion

The data analytics market is expected to grow rapidly,underscoring demand.

Source: Glassdoor
Job Icon$10 billion

AI investments in analytics platforms are accelerating globally.

Source: IDC
Job Icon$20 billion

Increasing adoption of cloud AI platforms fuels analytics automation.

Source: Forrester

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 35%Software Product - 29%BSFI - 15%E-commerce - 12%Others - 9%
    Companies
    Netflix
    Wells Fargo
    PricewaterhouseCoopers
    Accenture
    Bosch
    Amazon
    SAP ERP
    Boeing
    Siemens
    Hewlett-Packard
    IBM
    Ernst & Young

Admission Details

Application Process

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.

STEP 1

Submit Application

Tell us a bit about yourself and why you want to do this program

STEP 2

Reserve Your Seat

An admission panel will shortlist candidates based on their application

STEP 3

Start Learning

Selected candidates can begin the program within 1-2 weeks

Eligibility Criteria

For admission to this AI-Powered DA Program, candidates should have:

Don't need prior coding experience or technology know-how
2+ years of work experience preferred
A bachelor's degree is required

Apply Now

Program Benefits

  • Earn certificates from IITM Pravartak and IBM
  • Access to cutting-edge AI analytics tools
  • 11+ Hands-on projects including multiple real-world
  • Access job assistance with interview prep
  • 2-Day Campus Immersion at IIT Madras Research Park

AI-Powered Data Analytics Course FAQs

  • What makes AI-powered data analytics different from regular data analytics?

    Regular analytics focuses on querying, reporting, and model building using manual methods. Whereas AI-powered analytics uses automation, natural language prompts, GenAI tools, and intelligent agents to speed up data preparation, insight generation, and business recommendations. It reduces routine work and improves accuracy in forecasting, pattern discovery, and storytelling.

  • Who is this program ideal for—beginners, working professionals, or career switchers?

    The program suits early to mid-level professionals in business, technology, analytics, and consulting roles. It guides learners toward career growth and skill development, helping them move into AI-driven analytics roles that are in high demand.

  • Do I need prior experience in coding or analytics to enroll in this AI data analytics course?

    You do not need any background in coding or analytics to join this AI data analytics course, as it begins with core concepts and builds your skills step-by-step before moving into advanced topics.

  • What topics will be covered in this AI data analytics course?

    The curriculum covers the complete analytics cycle, including SQL, Python, ETL, Excel with Copilot, Power BI, Tableau, Machine learning, Predictive analytics, GenAI tools, AI agents, Cloud AI integration, Automation platforms, Ethical AI, and a full capstone project.

  • What tools and technologies will I learn in this AI-Powered Data Analytics Program?

    Learners gain practical experience with tools like Python, SQL, Power BI Pro, Tableau, Excel with Copilot, IBM AI tools, LangChain, Crew AI, n8n, Zapier, GA4, make, Firebase, Firestore, and cloud AI platforms like Google Gemini.

  • Will this course teach hands-on implementation of data analytics with AI models?

    Yes. Every module includes practical projects, labs if required and AI-supported tasks. Learners apply machine learning, automation, generative AI, AI agents, cloud integrations, and visual analytics through guided practice.

  • How will this program help me build job-ready skills in AI-driven analytics?

    The learning path develops strong technical and analytical skills through live classes, guided labs, real-world datasets, industry-specific tools, and advanced workflows. Learners practice reporting, automation, model building, cloud AI integration, data storytelling, and AI agent development.

  • What roles can I apply for after completing this AI data analytics program?

    After completing this AI data analytics course, you can apply for roles such as:

    • Data Analyst

    • Business Analyst

    • Data Scientist

    • Quantitative Analyst

    • Business Intelligence Developer

    • Data Engineer

    • Analytics Consultant

    • Data Architect

    • AI Product Manager

    • Analytics Manager

    • Technology Specialist

  • What is the duration, mode of learning, and eligibility to join?

    The AI-Powered Data Analytics Course is a 7-month live, online class and includes self-paced learning. To enroll, you need a bachelor’s degree, and two years of work experience is preferred. You can join even if you don’t have any coding or technical experience.

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
  • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
  • Career Impact Results vary based on experience and numerous factors.