• Program Duration

    7 months
  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    I-DAPT, IIT (BHU) Advantage

    Program certificate from I-DAPT, IIT (BHU); university-vetted syllabus taught by industry experts

    Program certificate from I-DAPT, IIT (BHU); university-vetted syllabus taught by industry experts

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    Modern Analytics Expertise

    Go from data extraction and analysis to visualization, automation, and autonomous AI agents

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    Applied Learning Approach

    Learn through 170+ demos, 10+ projects, 20+ tools, and build 20+ skills across diverse industries

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    AI-Powered Job Assistance

    Enhance your resume and LinkedIn profile, practice AI mock interviews

Corporate Training

Enroll your employees into this program, NOW!

Fast-track Your Career

After completing Simplilearn programs, learners have successfully transitioned into new roles, accelerated their career growth, and secured salary hikes.

Unlock Career Growth

Maximum salary hike

150%

Data & AI hiring by 2027

1M+

Hiring partners

1800+

Our Alumni In Top Companies

Program Overview

Become an AI-powered data analyst with hands-on learning across the complete analytics lifecycle. Master data acquisition, analysis, visualization, and Agentic AI automation while building projects in marketing, finance, and retail and attending expert-led AI Impact Studio sessions.

Key Features

  • Live sessions led by seasoned Data & AI industry experts, plus an academic masterclass by IIT (BHU) faculty
  • In-depth exposure to the latest AI analytics tools and real-world case studies across 120+ hours of live learning
  • Build command over data analytics with 20+ AI-integrated tools: Excel with Copilot, MySQL, Power BI Pro, Tableau, GA4, n8n, CrewAI, and more from foundational to advanced levels
  • 11 hands-on industry projects across marketing, finance, retail, FMCG, and e-commerce, reinforced by 170+ demos, 50+ guided practices, and an industry capstone
  • 20+ skills covered spanning ETL workflows, AI-assisted visualization, web analytics, growth KPIs and building AI agents for analytics automation
  • Take part in a campus immersion at IIT (BHU), Varanasi for hands-on learning and networking
  • Stand out with Microsoft module certificates, hosted on the Microsoft Learn portal, for a clear industry edge
  • Live AI Impact Studio workshops across technical and business tracks, featuring tools like Claude, Kimi, and more

    Data Analytics & AI Program Details

    This is a hands-on, industry-aligned program that takes you from data fundamentals to AI-powered analytics. Master the tools, techniques, and workflows used by modern data professionals, from SQL and Python to machine learning, cloud platforms, and AI agents to solve real business problems.

    Learning Path

      • Attend program induction to understand the program structure, learning journey, and support available
      • Master statistical concepts like central tendency, skewness, and correlation
      • Validate assumptions with Z-test, T-test, and ANOVA
      • Manipulate real datasets using pandas
      • Understand data collection and storage mechanisms
      • Differentiate between data types and structures
      • Analyze business intelligence use cases
      • Understand the collaborative roles of analytics and engineering teams
      • Build AI-driven Excel models
      • Automate business narratives
      • Perform advanced forecasting
      • Apply “what-if” analysis for decision-making
      • Create performance dashboards
      • Define the North Star metric and align OKRs and KPIs to it
      • Build KPI trees and apply frameworks like AAARRR and HEART to real product launches​​​
      • Analyze revenue models, unit economics, and P&L statements
      • Track ROI, CAGR, and post-launch performance to drive sustainable growth
      • Write SQL statements for data manipulation
      • Understand relational and NoSQL databases
      • Design efficient relational schemas
      • Optimize queries using AI tools
      • Apply SQL to solve real business problems
      • Set up GA4 from account structure to enhanced measurement
      • Work with events, custom dimensions, and Explorations
      • Analyze traffic, engagement, behavior flow, and cohort retention
      • Build segments and map attribution across conversion paths
      • Manipulate data using Python libraries
      • Perform statistical analysis
      • Create publication-quality visualizations
      • Apply regression and correlation techniques
      • Conduct multivariate analysis
      • Build predictive models
      • Understand supervised vs unsupervised learning
      • Apply feature scaling and encoding
      • Evaluate model performance
      • Deploy ML models for real-world applications
      • Design interactive BI dashboards
      • Use SmartNarratives to generate insights- Analyze KPIs and trends
      • Apply storytelling best practices
      • Deploy dashboards to enable data-driven decision-making
      • Build AI-based automation with n8n,zapier,make
      • Integrate multi-agent systems
      • Optimize analytic processes
      • Manage workflow orchestration
      • Implement automation frameworks
      • Query data in plain language with Google Gemini
      • Forecast trends and catch anomalies with no-code predictive modeling
      • Connect GA4, CSVs, and databases in RowsAI and automate refreshes
      • Automate UTM tagging, audience personas, and funnel insights with AI
      • Develop autonomous AI agents
      • Implement iterative planning
      • Use LangChain and CrewAI
      • Integrate external tools/APIs
      • Manage autonomous workflows
      • Develop end-to-end analytics solutions
      • Apply AI in dashboarding
      • Perform performance tuning
      • Collaborate across teams
      • Present data-driven stories

    Electives:

      • Explore the latest developments in generative AI and agentic AI
      • Learn from real-world deployment stories and emerging use cases
      • Engage directly with experts in a live, interactive Q&A session
      • Stay current with one of the fastest-moving areas in tech today
      • Create interactive Tableau dashboards
      • Learn to apply storytelling techniques
      • Manage data sources
      • Perform visual analytics
      • Customize visuals
      • Research market trends faster with Microsoft Copilot's Researcher agent
      • Create reusable AI prompts for high-impact marketing campaigns
      • Analyze budget variances using Microsoft Copilot's Analyst agent
      • Transform unstructured healthcare data into structured insights with Azure Text Analytics
      • Explore the latest in Generative AI, Agentic AI, and intelligent automation
      • Learn through live, expert-led workshops on Claude Code, OpenClaw, and more
      • Apply AI to real-world technical and business use cases
      • Build practical AI skills to drive productivity, innovation, and business impact

    17+ Skills Covered

    • Data Analytics Lifecycle
    • ETL Workflow Understanding
    • Data Analytics using Python
    • Data Visualization with Tableau
    • Power BI Smart Narrative with AI
    • Extract Transform and Load
    • SQL
    • Linear and Logistic Regression
    • Supervised Learning
    • Unsupervised Learning
    • Predictive Analytics
    • Machine Learning
    • Generative AI
    • AI Automation for Data Analysis
    • Google Analytics
    • AI Powered Excel and Copilot
    • Web analytics with AI

    23+ Tools Covered

    DA_CopilotDA_crewaiDA_excelDA_firebaseDA_GoogleAnalyticsDA_LangchainDA_PowerBIDA_SQLNumPyAIML_Pandas_NewMatPlotlibpythonJulius.aiAIML_Google ColabAIML_SeabornAIML_SciPyAIML_SciKitClaude_NewTableau_FZapier_FN8N_FMake_FAhrefs_F

    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.

      AI Powered Lead Management Automation
    • Project 2

      Retail Sales Performance Analysis

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

      Retail Sales Performance Analysis
    • Project 3

      SQL Based Employee Performance Mapping Solution

      Use SQL databases to map employee performance and construct appraisal reports for a data science startup. Analyze ratings, salaries, and bonuses to back the appraisals

      SQL Based Employee Performance Mapping Solution
    • Project 4

      Marketing Campaign Impact Analysis

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

      Marketing Campaign Impact Analysis
    • Project 5

      Airline Operations and Delay Analysis

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

      Airline Operations and Delay Analysis
    • 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.

      Telecom Customer Churn Prediction
    • Project 7

      Cloud AI Business Insights and Automation

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

      Cloud AI Business Insights and Automation
    • Project 8

      AI Agent Driven Sales and Marketing Analytics

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

      AI Agent Driven Sales and Marketing Analytics
    • Project 9

      Customer Conversion and Sales Intelligence Dashboard

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

      Customer Conversion and Sales Intelligence Dashboard
    • Project 10

      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

    • Dr. R S Singh

      Dr. R S Singh

      Professor (HAG) and Project Director, I-DAPT Hub Foundation, IIT (BHU), Varanasi

      Dr. Ram brings institutional leadership and deep research experience from IIT (BHU) Varanasi to guide the program's academic direction. As Project Director of the I-DAPT Technology Incubation Hub, he leads technology translation and innovation initiatives at the institute

    prevNext

    Program Trainers

    • Amit Goyal

      Amit Goyal

      14+ years of experience

      Microsoft Certified Trainer, ex-Paytm, HCL

    • Mohammed Sadiq

      Mohammed Sadiq

      20+ years of experience

      Ex Technical Head, Power BI, Tableau expert

    • Amit Yadav

      Amit Yadav

      10+ years of experience

      Module Lead (AI/ML, GenAI) - LTIMindtree

    prevNext

    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 - 32%BFSI - 19%Software Product - 13%Pharma and healthcare - 11%Retail - 10%Others - 15%
      Companies
      LinkedIn
      Hewlett-Packard
      Siemens
      Mindtree
      Tech Mahindra
      Cognizant
      Accenture
      Razorpay
      TCS
      Abbott  Healthcare Pvt. Ltd.

    Learner Reviews

    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 Post Graduate Program in Data Science, candidates should have:

    Preferably 2+ years of formal work experience
    A bachelor's degree is required
    Basic understanding of programming concepts and mathematics

    Apply Now

    Program Benefits

    • Completion certificate from I-DAPT, IIT (BHU), Varanasi
    • Exclusive Access to IIT (BHU) Faculty Masterclasses
    • Access AI Impact Studio covering upcoming trends and tools
    • Multi-domain exposure with 10+ projects in focused cohorts
    • Simplilearn's Job AssistPlus access for career support

    FAQs

    • Do I need prior coding or analytics experience to enroll?

      No. Prior coding experience isn't necessary. Python, SQL, and foundational statistics are covered as part of the program.

    • Will I get access to recordings if I miss a class in the course?

      Yes. Learners can access session recordings if they miss a live class. This allows them to review the concepts at their convenience and stay on track with the learning schedule.

    • Can I change my cohort after enrolling in the program?

      Yes. You are eligible for one complimentary cohort change within the first 60 days of your enrollment. If you cannot continue in your current cohort and have already used your complimentary change, you may request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, please contact our support team.

    • Can I get an extension if I need more time to complete the program ?

      If your program access has expired and you still have outstanding assignments or projects, you can request an extension by paying a nominal fee. Please note that while you will continue to have lifetime access to recorded sessions, certain features, such as marking attendance, submitting projects, and receiving your certificate, require active program validity. Requesting an extension will enable you to fulfill any remaining program requirements.

    • Are there any additional costs beyond the program fee?

      The curriculum covers the latest tools, models, and frameworks - including free and paid tools for all learners. Subscriptions to paid tools are not included, and learners who want to use them beyond the free tier should purchase them separately

    Recommended Learning Materials for Upskilling

    Explore free webinars, tutorials, career guides, and practical reads to go deeper

    • 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.