DataVerse AI is a complete, industry-ready program blending data analytics, business intelligence, and AI automation. Gain hands-on mastery in Excel, SQL, Power BI, Python, and tools like ChatGPT and Gemini. Build end-to-end expertise through real-world projects, mentorship, and job-focused training.
150k+ Placemenets to Date
600+ Hiring Partners
76 Lakhs Highest Annual
Next Batch starts in November
Build an Impressive Portfolio
Expand Your Career Opportunities
Stay Ahead with Industry Trends
Master Cutting-Edge Development Tools
Data analysts are critical assets across every sector—from technology giants and financial institutions to healthcare, retail, and consulting firms. Our graduates secure analytics positions at leading organizations leveraging data-driven strategies for competitive advantage and innovation.

₹4–10 LPA (Entry-Level), ₹10–18 LPA (Mid-Level), ₹18–25 LPA (Senior-Level)

Data Analysts collect, organize, and analyze data to generate actionable insights and support decision-making processes.

₹5–12 LPA (Entry-Level), ₹12–20 LPA (Mid-Level), ₹20+ LPA (Senior-Level)

Business Analysts identify business needs and create data-driven solutions to improve efficiency and performance.

₹8–16 LPA (Entry-Level), ₹18–30 LPA (Mid-Level)

Analytics Consultants work closely with clients to provide tailored data-driven solutions and strategies for business challenges.

₹4–8 LPA (Entry-Level), ₹8–15 LPA (Mid-Level)

Marketing Analysts use data to evaluate marketing campaigns, identify trends, and optimize strategies for better ROI.

₹5–10 LPA (Entry-Level), ₹12–20 LPA (Mid-Level)

Financial Analysts use data analytics to study market trends, forecast revenues, and support investment decisions.

₹5–10 LPA (Entry-Level), ₹10–18 LPA (Mid-Level)

Data Visualization Specialists create compelling charts, graphs, and dashboards using tools like Power BI, Tableau, and Python libraries.
Data analysts are critical assets across every sector—from technology giants and financial institutions to healthcare, retail, and consulting firms. Our graduates secure analytics positions at leading organizations leveraging data-driven strategies for competitive advantage and innovation.

₹4–10 LPA (Entry-Level), ₹10–18 LPA (Mid-Level), ₹18–25 LPA (Senior-Level)

Data Analysts collect, organize, and analyze data to generate actionable insights and support decision-making processes.

₹5–12 LPA (Entry-Level), ₹12–20 LPA (Mid-Level), ₹20+ LPA (Senior-Level)

Business Analysts identify business needs and create data-driven solutions to improve efficiency and performance.

₹8–16 LPA (Entry-Level), ₹18–30 LPA (Mid-Level)

Analytics Consultants work closely with clients to provide tailored data-driven solutions and strategies for business challenges.

₹4–8 LPA (Entry-Level), ₹8–15 LPA (Mid-Level)

Marketing Analysts use data to evaluate marketing campaigns, identify trends, and optimize strategies for better ROI.

₹5–10 LPA (Entry-Level), ₹12–20 LPA (Mid-Level)

Financial Analysts use data analytics to study market trends, forecast revenues, and support investment decisions.

₹5–10 LPA (Entry-Level), ₹10–18 LPA (Mid-Level)

Data Visualization Specialists create compelling charts, graphs, and dashboards using tools like Power BI, Tableau, and Python libraries.
This upgraded analytics curriculum delivers a complete journey from foundational data concepts to advanced, AI-powered business intelligence. The program now integrates modern automation tools, cloud BI platforms, and next-gen AI skills—preparing learners for real industry roles in data analytics.
Progress through statistics, DBMS, Excel, Google Sheets, SQL, BI tools (Power BI, Tableau, Looker), Power Automation, and Python programming—and finish with hands-on Predictive Modeling, Automation Workflows, and GenAI-based solutions.
Hands-On Labs: 70% practical exercises using real datasets and industry tools
Classroom Training: Interactive sessions with immediate instructor feedback
Online Live Classes: Virtual training with screen-sharing and collaborative coding
Hybrid Learning: Combine in-person and remote sessions seamlessly
Self-Paced Practice: Access recorded sessions and datasets anytime
Tool-Based Modules: Master Excel, SQL, Power BI, Tableau, and Python sequentially
Project-Driven Learning: Apply skills through real case studies and capstone projects
Industry Datasets: Work on finance, retail, and healthcare datasets for real insights
Certification Preparation: Python certification exam scenarios included
Weekly Assessments: Quizzes and practical tests to track progress
Statistics Foundation (15 hrs): Probability, distributions, hypothesis testing, ANOVA
Implementation of Descriptive Statistic (5 hrs): Measure of central tendency, Measure of Spread, Correlation analysis, Practical implementation on datasets.
Advanced Excel & VBA (20 hrs): Advanced formulas & data cleaning, Pivot tables & automation, Macros & VBA scripting.
SQL Database Management (20 hrs): Queries, joins, stored procedures, DB design
Power BI Mastery (20 hrs): DAX functions, visualizations, publishing, AI features
Tableau Visualization (15 hrs): Interactive dashboards, maps, and advanced charts
Python for Analytics (30 hrs): Pandas, NumPy, visualization, ML basics
Statistical Analysis: Descriptive & inferential stats, regression, correlation
Spreadsheets: Microsoft Excel (formulas, pivots, macros, VBA)
Business Intelligence: Power BI & Tableau dashboards
Databases: MySQL, SQL Server fundamentals
Programming: Python (Pandas, NumPy, Matplotlib, Seaborn)
Additional Skills: Web scraping, automation, API integration
Fresh graduates from any background seeking entry into high-growth analytics careers
Professionals in finance, marketing, operations, or HR looking to leverage data analytics
Business analysts & consultants strengthening their toolkit with Excel, SQL, Python, BI tools
IT professionals and developers transitioning into data science or analytics roles
Entrepreneurs analyzing customer behavior, sales patterns, and operational metrics
Career changers from non-technical backgrounds seeking structured, placement-ready training
Statistical Analysis Mastery: Apply descriptive & inferential statistics including probability, hypothesis testing, ANOVA, chi-square, and correlation analysis
Advanced Excel & VBA Expertise: Create dashboards, automate tasks with macros, and master complex formulas for business reporting
SQL Database Proficiency: Write advanced queries, design databases, and optimize performance for large datasets
Business Intelligence Visualization: Build interactive dashboards in Power BI & Tableau with AI insights and DAX functions
Python Data Analytics: Manipulate data using Pandas, NumPy, perform automation, and create data visualizations & ML models
End-to-End Analytics Projects: Execute workflows from data collection to visualization and actionable recommendationsEmail Automation
Skills You'll Gain: Dynamic reactive forms from JSON schemas Query builder and runtime reporting Data visualization with charts & grids Export pipelines (CSV, XLSX, PDF) Monorepo & modular deployment with NX Description:Make an analytics suite that can be changed so that admins can set up datasets and form schemas that…
Skills You'll Gain: CRUD operations for collections Schema design for flexible catalogs Indexing for search optimization Aggregation pipelines for analytics Data validation Description: For this project, students will make a MongoDB database that can grow to hold an e-commerce product catalog. They will make models of products with flexible schemas,…
Testing 123 Testing 123 Testing 321 Skills: Python, Web Scraping, APIs, Pandas, VisualizationProject Description:Automate business intelligence by designing a Business Report Analysis System that collects data from APIs and web sources. Using Python for web scraping and data handling with Pandas, combined with advanced visualization techniques, this project emphasizes Fullstack…
Get a Data Analyst Certification that is respected and acknowledged by leading businesses in a variety of sectors. You can demonstrate your proficiency with Excel, SQL, Python, R, Power BI, Tableau, and other crucial analytics tools with this certification. Show that you can manage analytics projects from start to finish, from data cleaning and analysis to reporting and visualization.
In addition to helping you stand out in a competitive job market, this certification opens doors to high-paying positions in IT, finance, healthcare, e-commerce, and consulting by validating your practical skills and data-driven decision-making abilities.
Professionals Trained
Countries & Counting
Corporate Served
Master a curriculum crafted and constantly updated by industry experts to match real-world trends, ensuring every concept and project builds job-ready, future-proof skills.
Receive one-on-one mentorship, resume reviews, mock interviews, and complete placement assistance through our 500+ hiring partners to accelerate your tech career.
Learn directly from certified professionals with years of hands-on experience who guide you through every module, project, and career milestone personally.
Gain practical exposure by working on live, industry-grade projects that mirror real business challenges, strengthening your technical execution and problem-solving abilities.
Join thousands of successful learners who have launched rewarding tech careers through Grras. Our consistent placement results, trusted partnerships, and alumni success stories speak for the quality of our training.
Navigate your professional journey with a comprehensive guide that transforms learning into opportunity. Discover proven strategies to build skills, gain experience, and secure your ideal position in today's competitive job market.
Focus on industry-relevant skills
Real-world projects to implement learned concepts.
Weekly tests to assess progress
Mock sessions with real-time feedback from experts
Host industry experts for advanced technical guidance
Focus on problem-solving, critical thinking, and domain expertise
Through interactive classes, students enhance both verbal and non-verbal communication, while also learning to present their ideas clearly, confidently, and effectively.
Enhances students' problem-solving, analytical thinking, and numerical ability-preparing them for competitive exams and placement tests.
Help students structure professional, impactful resumes
* Partner with top companies for hiring pipelines * Conduct webinars and sessions with recruiters
* Connect candidates to aligned opportunities * Organize hiring events and recruitment drives
Equip students to handle high-pressure interview situations
Prepare students for various interview formats, including case studies, coding rounds, and group discussions
* Address specific weaknesses and barriers to success. * Develop personalized improvement plans