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Course PreviewThe Advanced Certification Program in Data Analytics builds practical skills across business reporting, data preparation, statistical analysis, dashboarding and AI-assisted automation. Learners work with Excel, SQL, Python and Power BI before progressing to Generative AI, RAG, analytics agents and workflow orchestration.
The program follows an AI-first learning path that connects analytics fundamentals with modern business tools and workflows.
Organizations rely on analysts to convert operational data into clear reports, reliable KPIs and practical recommendations. Data analytics skills are used across finance, marketing, sales, product, operations, healthcare, retail and technology, making the field suitable for both fresh graduates and working professionals.
A Data Analyst collects, cleans, analyzes and presents data to support business decisions. Typical responsibilities include preparing datasets, tracking KPIs, building reports and dashboards, identifying trends, testing assumptions and communicating recommendations to stakeholders.
No advanced programming experience is required. Basic computer knowledge, logical thinking and an interest in working with data are sufficient to begin.
| Role | Primary Focus | Core Skills |
| Data Analyst | Cleans, analyzes and interprets data to identify trends and support decisions. | Excel, SQL, Python, statistics and visualization |
| BI Analyst | Builds dashboards, semantic models and recurring business reports. | Power BI, DAX, Power Query, SQL and data modeling |
| Business Analyst | Translates business requirements into process improvements, KPIs and recommendations. | Requirements analysis, KPIs, Excel, SQL and communication |
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With 22 years of experience as a technology leader, Shajee leads cloud-based AI/ML, analytics, cloud computing, and DevOps solutions. He uses scalable data engineering and contemporary infrastructure techniques to propel business innovation.
Sahil Ambardar is a data engineering and analytics expert with 23 years of experience in BI, ETL, and database architecture. He has enabled data-driven decisions across industries using SQL Server, Azure, Power BI, and Python.
With 19 years of experience, Raghavendra specializes in automation and data analysis using Python, RPA, and BI tools. He brings a practical, hands-on approach to teaching real-world data solutions.
A seasoned data analyst with 12+ years of experience, Balgeet specializes in SQL Server and Microsoft BI tools. He has trained over 5000 professionals, delivering hands-on, industry-relevant insights for aspiring data analysts.
Akshay Gupta is a data analyst and AI expert with 8+ years of experience, delivering $500M+ impact through 100+ analytics solutions. He specializes in predictive modeling and business intelligence across CPG, retail, and supply chain.
Prepare, analyze and visualize data to support business decisions.
Build dashboards, DAX measures and recurring performance reports.
Create automated MIS reports, KPI trackers and management summaries.
Translate business needs into analytical questions, metrics and recommendations.
Measure campaign, funnel, acquisition and conversion performance.
Analyze activation, engagement, retention and feature adoption.
Use Python, APIs and workflow tools to automate recurring analytics tasks.
Track service levels, demand, productivity and process performance.
Data Cleaning
Advanced Excel
Power Query
SQL
Python
EDA
Statistics
Power BI
DAX
Data Modeling
KPI Analysis
AI Analytics
Prompt Engineering
RAG
Agentic AI
n8n Automation
Data Storytelling
Stakeholder Communication
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₹5,000
We partnered with financing companies to provide very competitive finance options at 0% interest rate
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Understand how modern analytics teams use data, business context and AI-assisted tools to solve real-world problems.
Transform raw operational data into automated reports, MIS dashboards and actionable business insights.
Microsoft Excel & advanced topics
Power Query
AI-Assisted Reporting
Hands-on Project: Automated Monthly Sales and MIS Performance Report
Build strong SQL skills to retrieve, clean, transform and analyse business data.
SQL Foundations
Data Preparation
Business Analytics Using SQL
Hands-on Project: E-commerce Customer, Product and Revenue Analytics
Use modern Python to clean data, perform analysis and automate recurring analytics workflows.
Python Foundations
Data Analytics Using Python
Automation and APIs
Hands-on Project: Automated Business Data-Cleaning and Analytics Pipeline
Use statistical reasoning and experimentation to validate insights and support data-driven decisions.
Statistics Fundamentals
Hypothesis Testing
EDA & Business Experimentation
Hands-on Project
Product Conversion & Customer Engagement A/B Test — Analyse experiment results, validate conversion impact and present data-backed business recommendations.
Build interactive dashboards and use analytics to solve finance, marketing, sales, product and operational problems.
Power Query in Power BI
Data Modelling
DAX
Dashboard Development
Power BI Service
Explore how Generative AI can accelerate data analysis, automate business insights and enable intelligent interactions with organisational data.
Hands-on Exercise: Create a basic AI analytics assistant that answers questions from a business document or dataset.
Understand how AI agents can use data, tools and automated workflows to complete multi-step analytics tasks.
Hands-on Exercise: Design a basic analytics workflow that collects data, generates insights and prepares an automated business report.
Build a refreshable MIS dashboard to track sales, product performance, regional trends, targets, and discounts for monthly business reporting.
Analyse outlet orders, average order value, bestselling products, peak hours, and overall store performance to improve business operations.
Analyse booking transactions to identify popular events, customer preferences, city-wise demand, and cancellation trends for business insights.
Use SQL to analyse product sales, repeat customers, order frequency, category performance, and customer purchasing behaviour.
Build a Python pipeline to clean transaction data, standardize records, resolve missing values, and prepare datasets for reliable business reporting.
Evaluate promotional campaigns and booking experiences to measure conversion improvements and customer engagement using statistical testing.
Create an interactive dashboard to monitor transaction volume, success rates, user activity, and regional business performance.
Analyse campaign reach, website visits, product views, conversions, and customer acquisition to optimize marketing performance.
Analyse hotel occupancy, bookings, cancellations, revenue trends, and location performance to support business decisions.
Build an automated workflow that processes business data, calculates KPIs, generates AI-assisted summaries, and prepares management reports.
Earn the Advanced Certification Program in Data Analytics credential from iHUB IIT Roorkee after completing the required modules, assessments and projects. The program validates practical skills across Excel, SQL, Python, statistics, Power BI, Generative AI, RAG and analytics automation.
It was a great learning experience offered by the trainers of Intellipaat. They provided proper explanation, direction and with the included practice tests you can master the course.
I have completed this program, and the learning experience was excellent. The trainers were professional and used real industry-based scenarios to explain the topics. The live classes were also interactive and engaging.
The course is comprehensive and has a variety of material like videos, PPTs and PDFs, that are neatly organized. Also, the support I received from the trainer during my learning was great.
Thanks to Intellipaat’s Data Analytics course, I transitioned from Tavant Technologies to Quest Global as a Senior Software Engineer. I gained skills in Data Visualization, Predictive Modeling, and tools like SQL, Power BI, and Python.
Completed MS SQL Developer Training from Intellipaat! Great support, hands-on projects, and expert-led sessions boosted my skills in T-SQL, SSIS, SSRS, and DB security!
Experience Campus Immersion at iHub IIT Roorkee & Build Formidable Networks With Peers & IIT Faculty
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The eight core modules include 128 hours of live learning, along with hands-on exercises and industry-aligned projects.
The program covers Excel, Power Query, SQL, Python, Jupyter Notebook, Power BI, ChatGPT, GitHub Copilot, OpenAI APIs, LangChain, n8n and GitHub.
Yes. Learners use Generative AI for formulas, SQL, Python, DAX, EDA, summaries and basic analytics assistants.
Yes. The curriculum introduces analytics agents, tool use, task decomposition, n8n workflows, human approvals and guardrails.
The program includes 10 industry-aligned projects across retail, travel, healthcare, fintech, hospitality, marketing and service operations.
Yes. R Programming and Big Data & Spark are available as self-paced electives.
Relevant roles include Data Analyst, BI Analyst, Reporting Analyst, Business Analyst, Marketing Analyst, Product Analyst and Operations Analyst.
Yes. The Power BI module covers Power Query, data modeling, DAX, dashboards, Power BI Service, security and AI-assisted reporting.
Yes. The course covers descriptive statistics, probability, confidence intervals, hypothesis testing, effect size, EDA and A/B testing.
Yes. The structured learning path is suitable for graduates and working professionals from technical or non-technical backgrounds.
Learners validate AI-generated outputs and study groundedness, hallucinations, privacy, secure API usage, guardrails and controlled execution.
Learners must complete the required modules, assessments and projects according to the program guidelines.
