Master Data Analysis & Launch Your Career in Jaipur

Transform raw data into powerful business insights with comprehensive Data Analytics Certification Training in Jaipur. 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. 

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    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
    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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Build an Impressive Portfolio

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High-Paying Careers for Data Analysts in Jaipur

Data analysts are critical assets across every sector—from technology giants and financial institutions to healthcare, retail, and consulting firms. Our graduates from Jaipur 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 in Jaipur

Data analysts are critical assets across every sector—from technology giants and financial institutions to healthcare, retail, and consulting firms. Our graduates from Jaipur 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

Complete Course Curriculum

This comprehensive curriculum spans statistics, database management, business intelligence tools, and Python programming. Progress from descriptive statistics and hypothesis testing to advanced Excel, SQL queries, Power BI dashboards, Tableau visualizations, and Python-driven data analysis—culminating in real-world predictive modeling and automation projects.

Training Details

  • Total Hours: 120+ hours of intensive data analytics training
  • Regular Track: 100 days (1.5–2 hours daily)
  • Fast-Track: 25 days (5–6 hours daily intensive sessions)
  • Weekend Batches: Saturday–Sunday classes for working professionals
  • Flexible Scheduling: Morning, evening & weekend options available

Training Mode

  • Hands-on labs with 70% practical learning using real datasets
  • Classroom training with interactive instructor feedback
  • Online live classes with collaborative coding
  • Hybrid learning combining online and offline sessions
  • Self-paced practice with 24/7 access to recordings and datasets

Module Breakdown

  • Statistics Foundation (15 hours): Probability, distributions, hypothesis testing, ANOVA
  • Advanced Excel & VBA (20 hours): Dashboards, macros, formulas, automation
  • SQL Database Management (20 hours): Queries, joins, stored procedures, DB design
  • Power BI Mastery (20 hours): DAX, dashboards, publishing, AI insights
  • Tableau Visualization (15 hours): Maps, interactive visuals, advanced charts
  • Python for Analytics (30 hours): Pandas, NumPy, visualization, ML basics

Tools & Technologies Covered

  • Statistical analysis tools
  • Microsoft Excel (advanced functions, macros, pivot tables)
  • Power BI & Tableau Desktop
  • SQL (MySQL, SQL Server)
  • Python: Pandas, NumPy, Matplotlib, Seaborn
  • Web scraping, automation & API integration

Who Should Enroll

  • Fresh graduates seeking entry into high-growth data analytics roles
  • Working professionals in finance, marketing, HR & operations looking to use analytics
  • Business analysts & consultants wanting stronger technical skills
  • IT professionals & developers transitioning into data roles
  • Entrepreneurs analyzing customers, sales & business metrics
  • Career changers seeking structured analytics training

Course Outcomes / Skills You Master

  • Statistical Analysis: Hypothesis testing, ANOVA, regression, chi-square, correlation
  • Advanced Excel & VBA: Dashboards, macros, formulas & automation workflows
  • SQL Expertise: Complex queries, joins, DB design, stored procedures, triggers
  • BI Visualization: Power BI & Tableau dashboards, DAX, AI-driven insights
  • Python Analytics: Pandas, NumPy, visualization, automation & basic ML
  • End-to-End Projects: Complete workflows from cleaning to modeling & insights

Data Analyst Course Curriculum in Jaipur

Master Tools, Techniques, and Real-World Applications

This industry-aligned curriculum in Jaipur progresses systematically from statistical foundations through modern analytics tools and programming. Each module at our Jaipur training center builds practical competency in essential technologies—Excel for business analysis, SQL for data management, Power BI and Tableau for visualization, and Python for advanced analytics—preparing you for immediate contribution in analytics roles across Jaipur’s IT sector and beyond.

Statistics

  •  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

  • 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

Tableau

  • 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

Microsoft Excel

  • 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

SQL

  • 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

Python

  • 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

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. Showcase your Jaipur-developed analytics expertise to employers in local companies, national corporations, and international organizations.

The UltimateToolkit

Industry-Recognized Data Analyst Certification in Jaipur

Earn a Data Analyst Certification in Jaipur that is respected and recognized by leading businesses across multiple industries. This certification proves your proficiency in essential analytics tools like Excel, SQL, Python, R, Power BI, Tableau, and more. It demonstrates your ability to handle complete analytics projects—from data collection and cleaning to analysis, reporting, and visualization.

This certification helps you stand out in Jaipur’s competitive job market and opens doors to high-paying roles in IT, finance, healthcare, e-commerce, and consulting. By showcasing your practical skills and data-driven decision-making abilities, it strengthens your professional credibility and accelerates your career growth.

  • 20000+

    Professionals Trained

  • 20+

    Countries & Counting

  • 100+

    Corporate Served

Our Proven Track Record Shows that we Walk the Talk

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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600+ Hiring Partners Across Industries

Join Our Exclusive Workshops!

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

Highly Recommended Course

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.

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.

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.

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.

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.

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.

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.

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.

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