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DataCraft AI is a complete, industry-ready program blending data analytics, business intelligence, and AI automation. Gain hands-on mastery in Excel, Google Sheets, SQL, BigQuery, Power BI, Tableau, Looker, Power Automate, R, 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
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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, BigQuery, BI tools (Power BI, Tableau, Looker), Power Automate, R 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, Google Sheets, SQL, Big Query, Power BI, Tableau, Looker Studio, Python and R programming 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 and PowerBI Certification exam scenarios included Weekly Assessments: Quizzes and practical tests to track progress Statistics Foundation (15 hrs): Measure of central tendency, Measure of Spread, Correlation analysis, Practical implementation on datasets. Implementation of Inferential Statistics (5 hrs): Probability, distributions, hypothesis testing, ANOVA Advanced Spreadsheet & VBA (30 hrs): Advanced formulas & data cleaning, Pivot tables & automation, Macros & VBA scripting using Excel and Google Sheets. SQL Database Management and BigQuery (20 hrs): Queries, joins, stored procedures, DB design, partitioned tables, clustered tables Power BI Mastery (20 hrs): DAX functions, visualizations, publishing, AI features Tableau Visualization (15 hrs): Interactive dashboards, maps, and advanced charts Power Automate(5 hrs): Triggers and actions, reporting automation Looker Studio (5 hrs): Visualization using charts, tables and scorecards. R Programming (5hrs): dplyr, tidyr, ggplot, r markdown Python for Analytics (30 hrs): Pandas, NumPy, visualization, ML basics Statistical Analysis: Descriptive & inferential stats, regression, correlation Spreadsheets: Microsoft Excel, Google Sheets (formulas, pivots, macros, VBA) Business Intelligence: Power BI, Tableau dashboards and Looker Studio Databases and Cloud: MySQL, SQL Server fundamentals, BigQuery Programming: R(tidyr, dplyr, ggplot), 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 Spreadsheets, DBMS, Programming & 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 & BigQuery Proficiency: Write advanced queries, design databases, and optimize performance for large datasets Business Intelligence Visualization: Build interactive dashboards in Power BI, Tableau & Looker with AI insights and DAX functions Python & R Data Analytics: Manipulate data using Pandas, dplyr, NumPy, perform automation, and create data visualizations & ML models End-to-End Analytics Projects: Execute workflows from data collection to visualization and actionable recommendationsPrerequisites: Basic knowledge of Excel and statistics is recommended. Interest in data analysis, business intelligence, and problem-solving will help you grasp advanced analytics efficiently.
Objective: Enable learners to clean, organize, analyze, and visualize data using Microsoft Excel and Google Sheets, while creating automated and collaborative dashboards. This combined approach helps learners work with live, cloud-based datasets and build business-ready reports commonly used in real corporate and analytics environments.
Objective: Help learners understand how to work with relational databases using SQL to fetch, update, and analyze structured data. This skill enables them to answer real business questions, manage large datasets efficiently, and support data-driven decision-making in practical work environments.
Objective: Help learners create clear and interactive dashboards using Power BI and Tableau to visualize data, highlight trends, and share insights effectively. This skill supports better decision-making by presenting data in a simple and meaningful way for both technical and non-technical audiences.
Objective: Build skills in Looker Studio to create real-time, interactive dashboards for marketing, performance, and web analytics. The course emphasizes clear data visualization to support informed decision-making across teams.
Objective: Learn how to work with large amounts of data using SQL in Google BigQuery. This course focuses on combining cloud data with dashboards and reports to support business and enterprise analytics needs.
Objective: Enable learners to automate reporting and data workflows with scheduled updates, alerts, and notifications. This approach helps streamline operations and improve efficiency in real business environments.
Objective: Build a strong foundation in essential statistical concepts to support data-driven decision-making. This helps learners correctly interpret data and validate insights using practical statistical methods.
Objective: Help learners build strong programming skills to clean, analyze, visualize, and automate data tasks. This enables them to work with complex datasets and create reusable scripts for real-world analytics.
Objective: Gain practical experience with statistical analysis and exploratory data analysis using R, focusing on data exploration, hypothesis testing, and clear interpretation of results for research and analytical modeling.
Objective: Help learners use AI tools to quickly analyze data, generate meaningful insights, and support predictive analysis and automated reporting. The focus is on practical use while understanding ethical considerations and the limitations of AI in real business scenarios.
Objective: Train learners to design effective prompts that generate accurate insights, create reports, and support analytics workflows using Generative AI tools.
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.
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.
Building Strong Foundation
Focus on industry-relevant skills
Real-world projects to implement learned concepts.
Weekly tests to assess progress
Sharpening Interview Readiness
Mock sessions with real-time feedback from experts
Host industry experts for advanced technical guidance
Focus on problem-solving, critical thinking, and domain expertise
Communication & Aptitude Skill Development
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.
Resume building masterclasses
Help students structure professional, impactful resumes
Bridging the Gap
* Partner with top companies for hiring pipelines * Conduct webinars and sessions with recruiters
* Connect candidates to aligned opportunities * Organize hiring events and recruitment drives
Advance interview boot camp
Equip students to handle high-pressure interview situations
Prepare students for various interview formats, including case studies, coding rounds, and group discussions
Personalized 1:1 guidance
* Address specific weaknesses and barriers to success. * Develop personalized improvement plans
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
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