Master Data Analysis & Launch Your Career

Transform raw data into powerful business insights with comprehensive Data Analytics Certification Training. This intensive program combines statistical analysis, advanced Excel, SQL databases, Python programming, and cutting-edge visualization tools like Power BI and Tableau to prepare you for high-demand analytics roles.

150k+ Placemenets to Date
600+ Hiring Partners
76 Lakhs Highest Annual

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Next Batch starts in November

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Flexible Learning Modes to Fit Your Schedule

Interactive Classroom Sessions
Live Virtual Instructor-Led Classes
Self-Guided Online Modules
Corporate Onsite
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Build an Impressive Portfolio

Expand Your Career Opportunities

Stay Ahead with Industry Trends

Master Cutting-Edge Development Tools

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

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 comprehensive curriculum spans statistical foundations, database management, business intelligence tools, and Python programming for analytics. Progress from descriptive statistics and hypothesis testing through advanced Excel analytics, SQL queries, Power BI dashboards, Tableau visualizations, and Python-based data manipulation — culminating in real-world predictive modeling and automation projects.

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
Advanced Excel & VBA (20 hrs): Pivot tables, macros, advanced formulas, dashboards
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. Learn data collection, cleaning, visualization, SQL queries, Python/R analysis, and Power BI dashboard creation with practical examples from real-world datasets.

Download the complete Data Scinece Curriculum

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Data Types, Measure Of central tendency, Measures of Dispersion
Graphical Techniques, Skewness & Kurtosis, Box Plot
Descriptive Stats
Random Variable, Probability, Probability Distribution, Normal Distribution,
SND, Expected Value
Sampling Funnel, Sampling Variation, Central Limit Theorem, Confidence interval
Introduction to Hypothesis Testing
Hypothesis Testing (2 proportion test, 2 t sample t test)
Anova and Chisquare
Data Cleaning
Imputation Techniques
Scatter Diagram
Correlation Analysis

Power BI Introduction
Power BI Components
Getting Data using Power BI
Power BI Transformations
Creating Data Models
Power BI Charts
Power BI Filters
Power BI Visualizations
Exploring Data in Power BI
Power BI and Excel
Power BI Publishing and Sharing
Power BI Integration with Data Sources

Data Analysis Expressions (DAX)

Math & Stats
SUMX & Calculate Function
Related Function
All Function
Aggregate Functions
Date Functions
Logical Function
String Functions
Filter Functions
Trigonometric Functions
Time Intelligence Functions

Reports – Objects & Charts, Formatting Charts

Report Interactions
Bookmarks
Managing Roles
Custom Visuals
Desktop vs Phone Layout
Artificial Intelligence Visuals – Key Influencers

What is Data Visualization

Advantages & Disadvantages of Visualizations
Why Data Visualization is Important
Understanding Data
Different Types of Data Visualizations

Tableau – Data Visualization Tool
Introduction to Tableau

What is Tableau?
Overview of Tableau Tool (Servers, Data, Visualizations)

Extensions in Tableau
Features of Tableau Desktop
Tableau – Joins and Data Pane
Tableau Data Pane
Pivot Table and Split Tables in Tableau

In-built Charts in Tableau

Basic Charts
Text Tables
Highlight Tables
Bar Charts
Stacked Bar
Line Graphs
Dual Axis
Pie Charts, etc.

Maps in Tableau
Data Interpretation

Getting Started with Excel
Workbook Protection & Security
Data Formats, Data Formatting & Alignment
Hands-on Practice on Short Keys
Conditional Formatting
Advanced Conditional Formatting Techniques
Graphs & Charts
Advanced Charts – Waterfall / Bridge Graphs
Data Tools – Filtering, Sorting, Remove Duplicates, Data Validation, Grouping
Absolute and Relative Referencing Concepts
Case Studies on Absolute and Relative Referencing
Specialized Functions / Formulas
Lookup Functions

VLOOKUP & its Limitations
HLOOKUP
INDEX-MATCH
HYPERLINK
INDIRECT
OFFSET
TRANSPOSE

VLOOKUP Case Studies

General VLOOKUP Problems
VLOOKUP with MATCH Function
VLOOKUP using (*) Problems
VLOOKUP using Running COUNTIF
Nested VLOOKUP

Text Formulas

CHAR
CONCATENATE
EXACT
FIND
LEFT / RIGHT
PROPER
SEARCH
MID
UPPER

Logical Formulas

AND
IF
IFERROR
NOT
OR
TRUE

Date & Time Formulas

DAY
DATE
HOUR
MINUTE
SECOND
TIME
MONTH
YEAR
TODAY
WEEKDAY
NOW

Mathematical Formulas

SUM
SUMIF / SUMIFS
COUNT / COUNTIF
MOD
PRODUCT
SUMPRODUCT
ROUNDUP
ARRAY FORMULAS

Pivot Reports / Dashboard

Pivot Tables & Pivot Charts
Waterfall Mode

Comparison
Types of SQL Commands

Data Definition Language (DDL)

Create, Drop, Truncate, Alter, and Rename Objects

Data Query Language (DQL)

Select Statements

Data Manipulation Language (DML)
Data Control Language (DCL) and Transaction Control Language (TCL)

Grant, Revoke, and Transaction Statements

SQL Data Types

Numeric
Date and Time
LOB Types

DML Commands

Insert, Update, and Delete Statements

DDL Commands

Create and Drop Databases

SQL Transactions

Examples

ACID Properties

TCL Statements

Start, Commit, and Rollback Statements

Auto Commit

SavePoints

Identifier
Rollback and Release

Database Objects

Tables

Creating, Altering, and Dropping Tables

Views

Advantages
Creating and Dropping Views

Indexes

Stored Objects

Types of Stored Objects

Stored Procedures

Operators and Functions

Joining Tables

Inner Join
Left Join
Right Join

Advantages of Procedures

Database Triggers

Accessing Database from R and Python

Triggers

Installation of Python
Python Strings
Python Lists
Python Datatypes & Python Loops
Python Tuples
Python Dictionary
Python Date & Time
Python Operators
Python Functions
Python I/O Functions
Debugging & Python Database Access – MySQL
Working with CSV & Excel Files

Advanced Data Types

Deque in Python
Python Dict
Python Tuples
Python Frozenset
Difference between List, Tuple, Dict, Set, and FrozenSet

Python Comprehensions

List Comprehensions
Set Comprehensions
Dictionary Comprehensions
Set Comprehensions

NumPy
Pandas
Data Analysis & Visualization in Python
Web Scraping
Email Automation

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Phone*

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Program*

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.

Sales Performance Dashboard

Unlock the Power of Data with Analysis & Visualization!

MySQL
Tableau

Employee Attrition & HR Analytics

Unlock the Power of Data with Analysis & Visualization!

Python
Excel

Customer Segmentation using E-Commerce Data

Unlock the Power of Data with Analysis & Visualization!

Jupyter
Python
MySQL
2+ More

The UltimateToolkit

Data Analytics

Data Visualization

Excel

Stats

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.

20000+
Professionals Trained
20+
Countries & Counting
100+
Corporate Served

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600+ Hiring Partners Across Industries

Our Proven Track Record Shows that we Walk the Talk

Aditi Naruka

Cloud ops Engineer

Aditi Naruka has successfully completed the 4-month Devops and Cloud Computing program and secured a placement.

Raghav Bahad

Data Analyst

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

Suhaib Illyas

Python developer

Suhaib Illyas has successfully completed the 3-month PYTHON program and secured a placement.

Gourav Khatri

Data Analyst

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

Shamrez Khan

MIS Executive

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

Arbaj Khan

Graphic Designer

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

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.

Building Strong Foundation
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
Sharpening Interview Readiness
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
Communication & Aptitude Skill Development
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.
Resume building masterclasses
Step by step guidance
Help students structure professional, impactful resumes
Bridging the Gap
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
Advance interview boot camp
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
Personalized 1:1 guidance
Individual Sessions
* Address specific weaknesses and barriers to success.
* Develop personalized improvement plans

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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Join Our Exclusive Workshops!

Discover daily sessions covering business analytics, graphic design, Python, and more. Reserve your spot today!

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Frequently Asked Questions

Yes, experienced trainers provide guidance and support throughout the program.

Yes, live Q&A sessions, mentor assistance, and discussion forums are available.

Yes, connect with peers through webinars, hackathons, and collaborative projects.

Yes, notes, datasets, and project materials are accessible even after course completion.

Because of expert-led training, hands-on projects, flexible learning, and strong placement support.

Yes, you’ll earn an industry-recognized Data Analyst Certification.

Yes, it validates your skills in Excel, SQL, Python, R, Power BI, Tableau, and end-to-end analytics.

Data Analyst, Business Analyst, BI Specialist, Reporting Analyst, Data Visualization Specialist.

Yes, with resume building, mock interviews, portfolio guidance, and job support.

Yes, skilled analysts are in demand across IT, finance, healthcare, e-commerce, and consulting.

Projects include Sales Analytics Dashboards, Customer Segmentation, Marketing Campaign Analysis, and Financial Reporting.

Yes, all projects simulate real-world business analytics scenarios for practical experience.

Yes, using Excel, Power BI, and Tableau to analyze and visualize key business metrics.

Yes, projects can be shared on GitHub, LinkedIn, and during interviews to attract recruiters.

Yes, the course emphasizes turning raw data into business decisions and measurable results.

You’ll master Excel, SQL, Python, R, Power BI, and Tableau for real-world data projects.

Yes, you’ll create dashboards, charts, and reports to communicate insights effectively.

Yes, projects use live datasets from sales, finance, marketing, and customer analytics.

Yes, you’ll apply Python and Power BI to forecast sales, customer behavior, and KPIs.

Yes, you’ll learn statistical techniques and data interpretation using Python, R, and Excel.

Yes, both live online sessions and offline classroom training at Jaipur are available.

Yes, flexible schedules make it ideal for students, professionals, and career switchers.

All sessions are recorded, and you’ll get access to backup classes and resources anytime.

Yes, beginners can start learning data analysis with guided mentorship and practical exercises.

Yes, all course notes, datasets, and learning resources remain accessible after course completion.

This course teaches data analysis, Excel, SQL, Python, R, and Power BI through real-world projects to make data-driven decisions.

Beginners, students, professionals, and anyone who wants to pursue a career in data analytics or business intelligence.

Basic Excel knowledge and understanding of statistics help, but beginners can also start step by step.

The program includes 200+ hours of practical training, live projects, and portfolio development.

You can work as a Data Analyst, Business Analyst, BI Specialist, Junior Data Scientist, or Reporting Analyst.