Master Data Analysis & Launch Your Career

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.

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Flexible Learning Modes to Fit Your Schedule

  • Interactive Classroom Sessions
    Interactive Classroom Sessions
  • Live Virtual Instructor-Led Classes
    Live Virtual Instructor-Led Classes
  • Self-Guided Online Modules
    Self-Guided Online Modules
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    Corporate Onsite
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High-Paying Careers for Data Analysts

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.

Designation

Annual Salary

Hiring Companies

 ₹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.

High-Paying Careers for Data Analysts

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.

Annual Salary

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

Hiring Companies

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

Annual Salary

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

 

Hiring Companies

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

Annual Salary

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

Hiring Companies

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

Annual Salary

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

Hiring Companies

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

Annual Salary

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

Hiring Companies

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

Annual Salary

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

Hiring Companies

 Data Visualization Specialists create compelling charts, graphs, and dashboards using tools like Power BI, Tableau, and Python libraries.

Course Snapshot

Course Description

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.

Training Mode

  • 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

Learning Approach

  • 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

Module Breakdown

  • 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

Tools & Technologies Covered

  • 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

Who Should Enroll

  • 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

Course Outcomes & Skills You Master

  • 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 recommendations

Data Analyst Course Curriculum

Master Tools, Techniques, and Real-World Applications

Prerequisites: Basic knowledge of Excel and statistics is recommended. Interest in data analysis, business intelligence, and problem-solving will help you grasp advanced analytics efficiently.

Statistics

Objective: Build strong statistical and analytical skills by mastering descriptive and inferential statistics, probability, hypothesis testing, and data cleaning techniques for effective data analysis and interpretation.

Power BI

Objective: Develop the ability to analyze, visualize, and interpret data effectively using Power BI, creating interactive dashboards and insightful business reports.

Tableau

Objective: Gain proficiency in Tableau to visualize, analyze, and interpret data effectively through interactive dashboards and insightful business reports.

Microsoft Excel

Objective: Develop strong Microsoft Excel skills to efficiently organize, analyze, and visualize data for effective decision-making and reporting.

SQL

Objective: Master SQL to efficiently store, manage, and query data for insightful analysis and database-driven decision-making.

Python

Objective: Build a strong foundation in Python to analyze data, automate tasks, and develop efficient, real-world applications.

Looker Studio

Looker Studio enables learners to build interactive dashboards and transform raw data into meaningful insights. Students learn to connect data from sources like Google Sheets, BigQuery, SQL databases, and CSV files, and work with dimensions, metrics, and calculated fields to create effective visualizations. They gain hands-on experience using charts, scorecards, geo maps, filters, and date controls, as well as blending data from multiple sources for unified reporting. The course also covers visualization best practices, dashboard sharing and collaboration, performance optimization, and applying Looker Studio to real business scenarios such as marketing and sales analytics.

BigQuery

BigQuery enables learners to analyze large datasets quickly using Google’s cloud data warehouse. Students learn to organize and load data, write efficient SQL queries, and work with advanced features like joins, nested fields, partitions, and clustering. The course also introduces performance optimization, cost management, and BigQuery ML for basic machine learning. Learners explore integrations with Looker Studio and Python, preparing them to use BigQuery for real-world analytics and business insights.

Power Automate

R (Programming Language for Data Analysis)

The objective of learning R is to equip learners with the ability to clean, analyze, and visualize data using a powerful statistical programming language. Students develop a strong foundation in R syntax, data structures, and data manipulation using packages like dplyr, tidyr, and the Tidyverse. They learn to perform exploratory data analysis, apply statistical techniques, build visualizations with ggplot2, and conduct hypothesis testing, regression, and other analytical methods. The course also prepares learners to create reproducible reports using R Markdown, work with real-world datasets, and apply R in business analytics, automation, and integrations with tools like SQL and Power BI.

AI Tools (ChatGPT, Gemini, Claude)

The objective of this module is to enable learners to effectively use leading AI tools like ChatGPT, Gemini, and Claude to enhance productivity, creativity, and decision-making. Students learn how to craft powerful prompts, generate content, summarize information, automate tasks, and analyze data using conversational AI. The course focuses on practical, real-world applications such as drafting emails, creating reports, building ideas, coding assistance, troubleshooting, and workflow optimization. Learners also gain an understanding of differences between AI models, best practices for responsible usage, and how to integrate these tools into daily work to achieve faster, smarter, and high-quality outcomes.

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Build Real-World Data Analytics Projects

Apply your skills through comprehensive projects including customer segmentation analysis, sales forecasting dashboards, financial risk assessment models, marketing campaign optimization, supply chain analytics, and predictive modeling using Python—all based on authentic business scenarios and datasets.

The UltimateToolkit

and Claude
and Claude
Data Analytics
Data Analytics
Data Visualization
Data Visualization
Excel
Excel
Gemini
Gemini
Looker Studio
Looker Studio
PowerBi
PowerBi
Python
Python
R and AI technologies including ChatGPT
R and AI technologies including ChatGPT
Statistics
Statistics

Industry-Recognized Data Analyst Certification

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.

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Our Proven Track Record Shows that we Walk the Talk

Aditi Naruka

Aditi Naruka

Cloud ops Engineer
Jaipur
Aditi Naruka has successfully completed the 4-month Devops and Cloud Computing program and secured a placement.
Raghav Bahad

Raghav Bahad

Data Analyst
Jaipur
Raghav Bahad has successfully completed the 4-month Data Analyst program and secured a placement.
Suhaib Illyas

Suhaib Illyas

Python developer
Jaipur
Suhaib Illyas has successfully completed the 3-month PYTHON program and secured a placement.
Gourav Khatri

Gourav Khatri

Data Analyst
Jaipur
Gourav Khatri has successfully completed the 4-month Data Analyst program and secured a placement.
Shamrez Khan

Shamrez Khan

MIS Executive
Jaipur
Shamrez Khan has successfully completed the 4-month Data Analyst program and secured a placement.
Arbaj Khan

Arbaj Khan

Graphic Designer
Jaipur
Arbaj khan has successfully completed the 4-month Ui Ux design program and secured a placement.

Why Choose Grras Solutions?

Industry-Aligned Curriculum

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.

Personalized Career Support

Receive one-on-one mentorship, resume reviews, mock interviews, and complete placement assistance through our 500+ hiring partners to accelerate your tech career.

Expert Mentorship

Learn directly from certified professionals with years of hands-on experience who guide you through every module, project, and career milestone personally.

Real-World Projects

Gain practical exposure by working on live, industry-grade projects that mirror real business challenges, strengthening your technical execution and problem-solving abilities.

Proven Track Record

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.

From Training to Placement A Roadmap to Success

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.

Expert Training sessions123

Focus on industry-relevant skills

Hands on projects & Assignments

Real-world projects to implement learned concepts.

Performance Tracking

Weekly tests to assess progress

Mock Interviews

Mock sessions with real-time feedback from experts

Expert Sessions

Host industry experts for advanced technical guidance

Skill Refinement Tasks

Focus on problem-solving, critical thinking, and domain expertise

Effective Communication & Presentation Skills

Through interactive classes, students enhance both verbal and non-verbal communication, while also learning to present their ideas clearly, confidently, and effectively.

Aptitude & Logical Reasoning Training

Enhances students' problem-solving, analytical thinking, and numerical ability-preparing them for competitive exams and placement tests.

Step by step guidance

Help students structure professional, impactful resumes

Industry networking

* Partner with top companies for hiring pipelines
* Conduct webinars and sessions with recruiters

Placement coordination

* Connect candidates to aligned opportunities
* Organize hiring events and recruitment drives

Stress Management Techniques

Equip students to handle high-pressure interview situations

Scenario-Based Training

Prepare students for various interview formats, including case studies, coding rounds, and group discussions

Individual Sessions

* Address specific weaknesses and barriers to success.
* Develop personalized improvement plans

Our mission revolves around our learners

Promising 100% #CareerSuccess!

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