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In today’s data-driven world, businesses rely on Data Analytics to uncover patterns and trends to make informed decisions, optimise processes, and drive innovation.
At Itvedant, our comprehensive Data Analytics program is designed to build in-demand skills through immersive learning in 6-8 months. With Itvedant’s industry-focused Data Analytics course, you gain 80% hands-on training, work on 30+ real-world projects, and tackle assignments to master analytical skills:
Explore each topic in depth through interactive sessions, real-world use cases, and hands-on tools. Gain a strong understanding of concepts while building practical skills that matter in real-world roles.
Case Studies & Projects
Languages & Tools
Live Sessions Hours
Version Control using Git
Data exploration and dataset structuring
Data cleaning and formatting
Business calculations and formulas
Logical functions and error handling
Lookup functions for data retrieval
Conditional formatting for business insights
PivotTables for analytical reporting
Charts and dashboard development
Understanding spreadsheet vs database-style data organization
AI Advantage
Generate and debug complex formulas from plain-language prompts with Claude, keeping project calculations accurate.
Surface trends, outliers, and data-quality issues in project data that manual review can miss, but can be traced using ChatGPT.
Recommend the right charts and KPIs, and automate recurring report refreshes, with the help of Gemini.
Database design and ER diagrams
Table creation and constraints
Primary and foreign key relationships
Data insertion and management
SQL queries and filtering
Table joins for transaction analysis
Aggregations and financial reporting
Subqueries and advanced SQL analytics
Window functions and ranking analysis
AI Advantage
Use Claude to generate SQL queries from plain-language requests by sharing your table structure and business context.
Optimize slow queries with Gemini to fetch records faster, using suggestions such as indexing, better joins, and filtering early.
Understand and debug SQL errors with ChatGPT by pasting the error message and query to get a clear explanation and a fix.
Data import and cleaning using Power Query
Data transformation and preparation
Data modeling and relationships
Population trend analysis
Interactive charts and dashboards
AI Advantage
Generate instant insights with Power BI AI visuals, using Key Influencers and Decomposition Tree to see what drives your metrics.
Create dashboard summaries automatically, with no manual write-ups needed, by using Smart Narratives in Power BI.
Spot population trends and anomalies faster than manual analysis with AI, using Anomaly Detection and Forecasting in PowerBI.
Importing datasets into Tableau
Understanding dimensions and measures
Data cleaning and preparation
Creating calculated fields and LOD expressions
Filtering, sorting, and grouping data
Price and availability analysis
Location-based demand analysis with maps
Property type comparison
Identifying profitable hosting locations
Building interactive dashboards with actions and filters
AI Advantage
AI-assisted data cleaning with Claude: fix messy Airbnb price formats, missing values, duplicates, and inconsistent locations before loading the data into Tableau Public.
Generate and debug calculated fields and LOD expressions for pricing and occupancy metrics, using ChatGPT.
Discover pricing and demand insights with Explain Data in Tableau Public, then turn them into business-ready summaries with Gemini.
Review dashboard design, chart choice, and filter flow with Claude or Gemini to meet industry-standard output.
Python programming fundamentals
Variables, data types, and operators
Conditional statements and loops
Data structures (lists and dictionaries)
Functions and modular programming
Object-Oriented Programming
Train and passenger data management
Seat availability and booking logic
Ticket cancellation and PNR generation
Data validation, file handling, and exception handling
AI Advantage
Code Generation: Produce working Python functions and project modules from plain-language requirements with Claude, speeding up development.
Debugging & Optimization: Pinpoint errors, understand their causes, and get cleaner, faster code for the project using ChatGPT in Google Colab or VS Code.
Workflow Logic: Get workflow and conditional logic recommendations from Gemini to handle repetitive project tasks with less manual effort.
Data exploration and analytics fundamentals
Data cleaning and preprocessing using Pandas
Statistical analysis and descriptive metrics
Outlier detection and distribution analysis
Category-wise sales analysis
Trend analysis using pivot tables
Data visualization techniques
Correlation and relationship analysis
AI Advantage
With Claude, uncover trends, outliers, and statistical patterns in the project to accelerate Data Processing
Get the best chart suggestions for each metric, using ChatGPT to pick from options such as histograms, box plots, and scatter plots
Turn statistical results into clear, actionable takeaways, with Gemini doing the summarizing for you
AI vs Generative AI and how AI tools work
Anatomy of a good prompt
Zero-shot prompting
Few-shot prompting
Role prompting
Context injection
Constraints and delimiters
Structured output formatting
Connecting Python to the Gemini
Responsible AI and data privacy
AI Advantage
Improve prompts for clearer, more accurate AI responses, using Claude to rewrite vague prompts into well-structured ones.
With Gemini, generate organized results such as tables, JSON, and bullet summaries for business and data tasks.
Write and debug Python code to connect to the Gemini API smoothly, with help from ChatGPT.
Zapier basics: triggers, actions, and Zap history
Free plan limits and task usage monitoring
Google Forms linked to Google Sheets for automatic order capture
Instant email alerts for new orders
Form validation rules and data cleaning with sheet formulas (PROPER, TRIM, VLOOKUP)
Customer order confirmation emails
Human review in automation: Gmail drafts vs auto-send
Scheduled automation and daily reporting (COUNTIFS, SUMPRODUCT, UNIQUE)
Testing, error fixing through Zap history, and migration to Make
AI Advantage
Generates ARRAYFORMULA, COUNTIFS, SUMPRODUCT, and UNIQUE formulas quickly with Claude.
Drafts clear, customer-friendly confirmation and apology emails using ChatGPT.
Using Gemini, creates test cases and edge cases for automation testing.
Reads Zap history errors and, with Claude, pinpoints fixes for failed Zaps.
Make setup and Google Cloud OAuth connections
Scenarios, modules, triggers, and field mapping
Capturing Gmail messages into Google Sheets
Gemini AI module with prompt templates and prompt versioning
Filters, fixed templates, and preventing automation loops
Gemini API integration using HTTP requests and JSON parsing
Sentiment, category, and urgency analysis with strict JSON output
Routers, human-in-the-loop drafts, and escalation
Test case design, COUNTIF reporting, and reply quality scoring
Credit usage monitoring and cost control
AI Advantage
Uses Gemini inside automations to draft tailored customer responses.
With Claude, classifies sentiment, category, and urgency of customer feedback.
Produces clean JSON and, using Gemini, compares prompt versions for better results.
Diagnoses API request issues, JSON errors, and failed scenarios with ChatGPT.
n8n basics: workflows, nodes, items, executions, Cloud vs self-hosted
Google Cloud OAuth setup and the n8n credentials vault
Form and Gmail triggers for enquiry capture into Google Sheets
JSON data flow, expressions and the Edit Fields node
LLM nodes and prompting with Gemini, including safe reply language
IF, Filter and Switch nodes for routing and loop prevention
Structured output for enquiry classification and lead scoring
Error handling: Retry on Fail, Continue on Error, rate limits
Human-in-the-loop: Gmail drafts and the approval pattern
RAG pipeline: ingest, chunk, embed, store, retrieve, generate
Embeddings, chunk size and overlap
Knowledge base design with metadata and “last updated” control
Grounded answers: top-k, similarity threshold, memory and source citations
RAG evaluation: test question set, hit@k, answer correctness
MCP fundamentals: host, client, server, tools, transports
Tool design: input schemas, read vs write tools, duplicate-booking prevention
AI agents and tool calling with a confirm-before-booking step
Guardrails: prompt injection, human approval, PII masking, DPDP consent awareness
Testing with Hinglish enquiries, prompt injection checks and V1 vs V2 prompt comparison
COUNTIF-based reporting and assistant KPIs: containment rate, escalation rate, response time, cost per conversation
AI Advantage
AI-drafted replies grounded in company documents, with source references, using Gemini.
AI-based enquiry classification and lead scoring with Claude.
An AI agent in n8n that uses MCP tools to check an indicative EMI, register applicants and book appointments, with one MCP server tested.
Prompt version comparison (V1 vs V2) with ChatGPT to improve reply quality.
With Claude, create test questions, sample enquiries and Hinglish cases, and understand errors in the n8n Executions log.
Real-World Impact: How Top Companies Leverage Data Analytics for Innovation
Hurry and grab your seat in Itvedant’s GenAI Automation & Data Analytics course.
With the global Big Data & Analytics market projected to reach $655 billion by 2029, skilled Data Analysts are in high demand across various industries.
Itvedant’s practical, real-world training ensures you are prepared to seize opportunities in a tech-driven world.
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14.5 Lacs
7.5 LPA
6.2 LPA
6 LPA
5.3 LPA
5 LPA
5 LPA
5 LPA
4.6 LPA
Pan India Placements
80% Practical Training
Industry Recognized Certifications
Integrated Internship
Personalised Career Coach
1:1 Doubt Resolution Support
Alumni Network
Multi-Industry Interview Preparation
Profile Building Session
2Nfinity Drive
Andheri Branch
Axio Virtual Drive
Bangalore Branch
Godrej Infotech Drive
Andheri Branch
Bajaj Alliance Drive
Delhi Branch
Pre-Placement Pep Talk
Delhi Branch
Amity Software Drive
Delhi Branch
Ahy Consulting Drive
Thane Branch
Aroha Technologies
Bangalore Branch
3Minds Digital Drive
Thane BranchAt Itvedant, we offer a structured program that equips you with the necessary skills to succeed in this field. Check out the details below to see if this course aligns with your goals:
| Criteria | Details |
|---|---|
| Ideal Candidates | - Analytical Thinkers: Individuals who enjoy working with data and uncovering patterns. - Career Switchers: Professionals aiming to transition into the IT sector. - Non-Coders: Those without prior programming experience but eager to delve into data. - Business Professionals: Individuals seeking to enhance decision-making through data insights. |
| Course Highlights | - Comprehensive Curriculum: Covers SQL, Excel, Power BI, and more. - Practical Training: Emphasis on real-world applications with over 80% hands-on sessions. - Industry Experts: Learn from professionals with extensive field experience. - Flexible Learning Modes: Both classroom and online options are available. |
| Career Prospects | - High Demand: Data Analysts are sought after across various industries. - Competitive Salaries: Attractive compensation packages even for entry-level positions. - Growth Opportunities: Potential to advance into roles like Data Scientist or AI Specialist. |
| 100% Job Assurance | - Comprehensive Curriculum: Dedicated support to secure employment post-course completion. - Extensive Case Studies: Engage with over 15 real-world scenarios to build practical skills. - Comprehensive Support: From instant doubt-solving sessions to career guidance. |
Data Analytics is one of the most in-demand skills in 2026, as companies across industries rely on data for decision-making. Here’s why learning Data Analytics is a smart career move:
Yes! Itvedant provides comprehensive, industry-relevant training designed to make you a skilled Data Analytics professional. Our structured program covers everything you need to master data analytics, from fundamental concepts to advanced techniques.
No, Data Analytics is not difficult to learn, especially with the right training and structured approach. Unlike fields that require extensive coding knowledge, Data Analytics focuses more on logical thinking, problem-solving, and working with data.
Beginners can start with Excel, SQL, and Power BI, which are user-friendly tools, before moving on to advanced concepts like Python and Machine Learning. With hands-on practice, real-world projects, and expert guidance, anyone can develop the necessary skills.
At Itvedant, we offer industry-relevant training, practical learning, and 100% placement support, making it easier for learners and professionals to transition into a successful Data Analytics career.
Data Analysis is the process of collecting, cleaning, and interpreting data to extract meaningful insights. It involves the use of tools like Python, SQL, Excel, Power BI, and Tableau to transform raw data into actionable decisions. These insights help businesses improve performance, optimize operations, and make informed strategic choices.
To learn Data Analysis effectively, it’s best to enrol in a structured training program that covers both theoretical knowledge and practical application. Our industry-oriented Data Analytics Course is designed to teach essential skills such as data wrangling, visualization, and statistical analysis. With real-world projects and case studies, learners gain hands-on experience that ensures job readiness in the analytics domain.
Our Data Analytics Training Program is a comprehensive course that covers programming and database tools like Python, SQL, and Excel. It also includes training in data visualization using Power BI and Tableau, along with foundational concepts in statistics and machine learning. You will work on live projects and a capstone project to build your portfolio. In addition, we provide interview preparation and career support to ensure you’re ready for roles such as Data Analyst, Business Analyst, or BI Developer.
Our Data Analyst Course fees are structured to be affordable for learners and professionals. We offer flexible payment options and EMI plans to make learning accessible. The fee includes course certification, access to industry-standard tools, hands-on projects and case studies, and dedicated placement assistance to help you transition into a data-focused career.
Yes, absolutely. Our Data Analytics Training starts with the basics of Excel, SQL, and Python, making it perfect for beginners, career changers, and freshers. You don’t need prior coding experience—just a genuine interest in working with data. The curriculum is designed to guide learners from foundational concepts to advanced analytics step-by-step.
Itvedant stands out as a leading Data Analytics Institute because we offer modern classroom infrastructure, certified trainers with real industry experience, and a curriculum that aligns with current job market demands. Our one-on-one mentorship ensures personalized guidance, while our hands-on training model prepares you for high-paying roles in the field of data analytics.
Our Data Analytics Classes follow a blended learning format that combines live online sessions, in-person classroom training, and hands-on practical exercises. You’ll work on real tools like SQL, Tableau, Python, and Power BI. We also provide regular doubt-solving sessions to help you master complex concepts with personalized support.
Yes, you can take our Data Analytics Classes online from anywhere in the world. The online format includes live interactive sessions with expert instructors, lifetime access to recorded materials, and personalized one-on-one mentorship. With this flexibility, you can learn at your own pace without compromising on the quality of instruction.
Our course includes extensive career support to ensure you’re ready for the job market. We assist with resume building, and LinkedIn profile optimization, and conduct mock interviews with industry professionals. We also organize placement drives and connect you with top recruiters who are actively hiring for roles such as Data Analyst, BI Developer, and Data Scientist.
Yes, Itvedant’s Data Analytics Course is designed to be beginner-friendly and is open to learners from both technical and non-technical backgrounds. We start with foundational topics such as Excel, basic data manipulation, SQL for beginners, and introductory statistics. This ensures that even if you don’t have prior experience in coding or analytics, you can still build a successful career in data analytics.
These courses are intended for anyone interested in learning Python Full Stack Development or data science and analytics.
Itvedant, with 19+ branches across India, provides flexible learning options through both classroom and online courses. Whether you prefer the interactive experience of offline classes or the convenience of online learning, Itvedant ensures quality education tailored to your needs.
The GenAI Automation & Data Analytics course is highly recommended if you want to become a Data Scientist. This course covers essential topics such as Python programming, machine learning, deep learning, statistical analysis, big data technologies, and data visualisation. By mastering these skills, you can work on predictive modelling, AI-driven solutions, and advanced analytics to extract valuable insights from data.
Yes, Python is covered from scratch in both of our courses.
The courses are a mix of live training and recorded video lectures, interactive quizzes, and assignments.
The duration of the GenAI Automation & Data Analytics course is 6 Months.
You do not need any prior coding knowledge to apply to this course.
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