Data Analyst Course in Udaipur

Launch your high-growth career with our Data Analyst course in Udaipur. Master Python, SQL, Power BI, advanced analytics, and much more to become a job-ready professional and land top roles in a data-driven world.

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Job Assured Program 100% Assistance Till You Get Job

Course Duration 6 Months + Life Time Access

Industry Experienced Trainer Get Trained from Experts

Training Format Classroom/Live Online

Next Batch: 21 Mar, 2026

Next Batch: 21 Mar, 2026

Overview
Features
Placements
Certification
Curriculum
Projects
Reviews
FAQs

Data Analyst Course in Udaipur Overview

Unlock your potential with our top program of Data Analyst course in Udaipur, that will make you a job ready for analytics. With the global market of big data analytics set to increase many folds, more than ever to 2027, there is a tremendous demand for talented analysts. Our program will equip you to be a leader in this demand as it will provide you with all the necessary tools and techniques. You will be skilled in cleaning and transformation of data, to high-level predictive models with Python, SQL, Power BI, Generative AI, Advanced Excel, and more.

Flexible learning schedules to suit your life: 4 months during working days, 6 months during weekends and 60 days of our fast-track course. We have designed our curriculum on the basis of real life projects, so that by the time you graduate you will have acquired the practical experience that you require to help resolve complex business problems. You will know how to transform uncooked information into insights that are powerful to make compelling visualizations and dashboards that inspire strategic decisions. This is a practical and career oriented training that will make you a competitive person in the job market.

However, comprehensive training is not the only thing we provide. Learn what makes our program really unique.

Why Choose Gyansetu’s Data Analyst Course in Udaipur?

The selection of the proper institute can be considered the initial step to a successful career. Our mission is to offer a life changing learning experience beyond ordinary training to give you the skills and confidence to be the best.

Holistic Curriculum: You will not just learn how to work with data cleaning and statistical analysis but also master advanced business intelligence, Python, SQL, Power BI among many others.
Industry Expert Learners: We have experienced instructors who have years of real-world experience. They also offer hands-on experience with the best companies so that you are taught the skills that are important in the job.
Practical Project: Create a strong portfolio through undertaking a series of practical projects.
100% Placement Assistance: We offer 100 percent placement assistance in the form of professional resume development, mock interview training and networking you with our hiring partners to get you preferred employment.
Certification: Achieve a professional certification in the field of Data Analyst that proves on the industry level your competence.
Flexible Learning: We provide a flexible batch so that you can fit the course to fit your schedule. Select our 4-month weekday program, 6-month weekend program or the intensive 60 day fast-track.
Tools Mastery: we train on Advanced Excel, SQL, power bi, tabula rasa, python with libraries such as Pandas and NumPy, and other critical platforms of business intelligence and data visualization.
Small Batches: We keep the size of our batches small to facilitate interactive learning, deep doubt finding, and individualized instructions in order to make you a master of complex concepts.
Practical Work: You will be taught how to transform data into useful insights that will help generate more revenue, minimize expenses and enhance operational efficiency in different industries.
Updated Course Material: Our curriculum is also revised regularly to accommodate the new trends in the industry. You will learn about Generative AI in analytics, prompt engineering, and other new technologies that will provide you with a competitive advantage.

data-analyst-course-in-udaipur

Key Highlights of Data Analyst Course

100% Placement Support

Free Course Repeat Till You Get Job

Mock Interview Sessions

1:1 Doubt Clearing Sessions

Flexible Schedules

Real-time Industry Projects

Placement Stats

Maximum salary hike

160%

Average salary hike

75%

Our Alumni in Top Companies

Data Analyst Course Placement Highlights

Avinash

74 % Hike

Data Analyst

NTK

Data Analyst

Google

Priya Paswan

57 % Hike

Sales Consultant

Hear.com

Senior Data Analyst

Vistara

Batches Timing for Data Analytics Certification Course

Track	Weekdays (Tue-Fri)	Weekends (Sat-Sun)	Fast Track
Course Duration	4 Months	6 Months	45 Days
Hours Per Day	2-3 Hours	3-4 Hours	6 Hours
Training Mode	Classroom/Online	Classroom/Online	Classroom/Online

Data Analytics Professional Certification Course in Udaipur

The Data Analyst certification that is accepted within the industry is your ticket to the best career opportunities. It is solid evidence of your abilities, which will be demonstrated on your LinkedIn profile, resume, portfolio, and social media to attract the interest of recruiters.

Here are credibility pillars in our certification:

Industry-Wide Recognition: Top companies in the industry recognize our certificate, which confirms the fact that you are an expert in the full spectrum of data analytics skills.
Verified Authenticity: Every certificate has its own distinctive verifiable ID, and that is why employers can easily identify its authenticity and your qualification.
Tested Career Effectiveness: Our certification helps graduates to get promotions, acquire well-paying jobs and switch to the dynamic business of data analytics.

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Data Analyst Course Curriculum

Our curriculum will carefully guide you to graduate as a job-ready data professional. Every module is a blend of theory and practical application making sure that you master the skills that are valued by the employers the most. You will be solving real-world problems and creating a portfolio that demonstrates your skills throughout the entire data analytics lifecycle.

Generative AI

Learn the future of data analytics: Generative AI and Large Language Models. This module discusses all the way up to prompt engineering to deliver meaningful outputs and all the way down to AI-assisted data storytelling using DALL-E and Midjourney. You also will study how to combine AI with Microsoft Office, improve your workflow in Python, SQL, and Power BI and automate processes and reach new levels of analysis, and many more.

12 Modules

Generative AI

Intro to Generative AI 12 Topics

Overview of Generative AI
Role of AI in Data Analytics
Traditional vs. Generative AI Approaches
Intro to LLMs
Fundamentals of Prompt Engineering
Navigating the ChatGPT Interface
Essential Prompting Techniques
Practical Applications of ChatGPT
Introduction to Google Bard (Gemini)
AI-Powered Image Generation Basics
Exploring Midjourney for AI Art
Introduction to DALL-E for Image
Creation

AI in Microsoft Word 5 Topics

AI-Powered Writing Assistance (Grammar Spelling, Clarity)
Smart Summarization & Auto-Formatting
AI-Based Content Suggestions & Autocomplete
Citation & Research Assistance with AI
Tools: ChatGPT | Microsoft 365 Copilot |Grammarly | QuillBot

AI for Microsoft Excel 6 Topics

Generate complex formulas & extract insights instantly.
Identify trends without manual analysis.
Automate workflows for smoother processes.
Enhance enterprise-level analytics & planning.
Enable self-service analytics for quick decisions.
Tools: ChatGPT | Microsoft 365 Copilot | Power Automate | Data Analyzer | Pigment AI | AI Assistant | Others

AI for PowerPoint 5 Topics

AI-Generated Slide Designs & Layouts (Designer & Ideas)
Automatic Slide Summarization & Content Generation
AI-Driven Presentation Coaching (Speaker Coach)
Smart Transitions & Animations with AI
Tools: ChatGPT | Microsoft 365 Copilot |Beautiful.ai | Icons8

AI for SQL 6 Topics

Convert natural language into SQL instantly.
Get AI-driven suggestions for efficiency.
Spot and fix syntax issues effortlessly.
Analyze results and generate recommendations.
Simplify table creation, updates, andjoins.
Tools: ChatGPT | AI Query Generator | AI SQL Copilot (Azure) | PromptSQL | DataRobot AI

AI for Power BI 7 Topics

Ask questions in plain English to generate reports.
Detect trends, anomalies, and patterns instantly.
Get AI-powered Power Query suggestions.
Receive chart and layout recommendations.
Create DAX formulas and relationships with ease.
Generate stakeholder-friendly dashboard summaries.
Tools: ChatGPT | InfoRiver AI | Arria Narratives | ThoughtSpot for Power BI

AI for Python 7 Topics

Discover how Generative AI transforms coding.
Learn to craft effective coding prompts.
Use ChatGPT for faster coding and debugging.
Enhance workflows in IDEs like VS Code & Jupyter using GitHub CoPilot.
Utilize AI responsibly for efficient development.
Leverage AI for data analysis and visual storytelling.
Tools: GitHub Copilot | Microsoft Copilot | ChatGPT

AI in Outlook 5 Topics

AI-Powered Email Drafting & Summarization
Smart Scheduling & Calendar Optimization
AI-Driven Email Categorization & Spam Filtering
Smart Replies & Meeting Insights
Tools: ChatGPT | Microsoft 365 Copilot |Grammarly | Quillbot

AI in Microsoft Teams 4 Topics

AI-Powered Meeting Transcriptions & Summaries
Real-Time AI-Based Translation & Captioning
AI-Driven Chatbots & Virtual Assistants
Smart Meeting Notes & Task Automation

AI for Collaboration and Productivity 4 Topics

Microsoft Copilot Across Office Apps
AI-Driven Task Management with Microsoft To-Do
Automating Repetitive Workflows with Power Automate
AI in OneNote & Whiteboard for Enhanced Collaboration

Future of AI in Business Applications 3 Topics

Emerging AI Trends in Productivity & Data Analytics
AI-Driven Decision-Making in Organizations
Career Opportunities & AI Certifications

Hands On Projects and Case Studies 0 Topics

Advanced Excel

Advanced Excel is a tool to convert raw data to powerful business insights. Our training goes much further than simple spreadsheets, and is related to the automation of dashboards, the understanding of complicated functions, and the construction of dynamic and interactive reports. In practical business simulations and case studies, you will also find out how to handle big data, conduct advanced analysis and communicate your results in a way that allows your presence to be appreciated in any business intelligence position.

15 Modules

Advanced Excel Course Curriculum

Workbook Protection & Security 7 Topics

Introduction to Excel
Password Protect a workbook/worksheet
Hiding & Unhiding Sheets
Protecting Workbook structure
Hiding sheets using VBA developer mode
Hiding Excel Functions
Locking/ Unlocking Cells

Data Types in Excel 8 Topics

Numbers
Text
Date Time
Currency
Percentage
Converting Numbers to Text
Converting Text to Numbers
Changing Date/Time formats

Scale up Speed using Short Keys 5 Topics

Working with Alt Key
Paste special
Insert Row/Column
Switch between worksheets
Navigate all excel features using Keyword

Conditional Formatting 6 Topics

Top Bottom Rules
Highlight Cell Rules
Data Bars
Color Scales
Exploring Rules Manager
Use formulas for cell formatting

Working on Data Tools 9 Topics

Text Filters
Number Filters
Sorting
Multi-level sorting
Text to Columns – Delimiters
Text to Columns – Fixed Width
Remove Duplicates
Data Validations
Grouping

Cell Referencing 3 Topics

Relative Referencing (A1)
Absolute Referencing ($A$1)
Partial Referencing ($A1) / (A$1)

Mathematical Functions 5 Topics

Sum/ Sumif/ Sumifs
Count/ Countif/ Countifs
SumProduct
Round/ Roundup/ Rounddown
Min/ Max/ Average

Logical Functions 5 Topics

If
And
Or
IsText
IsNumber

Lookup Functions 9 Topics

Vlookup
Vlookup with Match Function
Vlookup using (*) problems
Vlookup using Running Countif
Nested Vlookup
Hlookup
Index Match
Indirect
Offset

Text Functions 9 Topics

Char
Concatenate
Exact
Find/ Search
Left
Right
Proper
Mid
Upper

Date-Time Functions 5 Topics

Weekday
Weeknum
Day/ Month/ Year
Date / Time
Hour/ Minute/ Second

Array Functions 2 Topics

Learning functions with {}
Minif, Maxif, etc.

Charts 8 Topics

Line
Column
Pie
Bar
Combo Charts
Waterfall Charts
Doughnut Charts
Dynamic Charts using Pivot Slicers

Pivot Table & Charts 9 Topics

Pivot Table Fields
Filters/ Rows/ Columns/ Values
Insert Slicers
Insert Timelines
Group Selection
Changing Data Source
Report Layouts
Group Selection
Working with Multiple Tables using Relationship

Introduction to VBA programming 2 Topics

Record a Macro
Save macro sheet in .xlsm format

SQL

Master SQL fully, both basic query writing and more complicated tasks of managing a database at an enterprise level. This module includes essential expertise like query optimization, scalable database model, stored procedures, multifaceted joins, subqueries and performance tuning. Analyzing business data on a large scale, you will have the skills to work with data effectively and maintain its integrity and find the valuable insights that will guide the strategic decision-making.

13 Modules

SQL Certification Course

Introduction 5 Topics

File Management System and Its Drawbacks
Overview of Database Management System (DBMS) and Data Models
Physical Data Models
Logical Data Models
Entity-Relationship (E-R) Model

Introduction to Sql Server 10 Topics

Advantages and Drawbacks of SQL Server Compared to Oracle and DB2
Connecting to Server
Authentication Modes
SQL Server Authentication Mode
Windows Authentication Mode
Login and Password
SQL Server Management Studio and Tools in Management Studio
Object Explorer
Object Explorer Details
Query Editor

Introduction to tsql 19 Topics

Types Of TSQL Commands
Data Definition Language (DDL)
Data Manipulation Language (DML)
Data Query Language (DQL)
Data Control Language (DCL)
Transaction Control Language (TCL)
Database
Creating Database
Altering Database
Deleting Database
Constrains
Procedural Integrity Constraints
Declarative Integrity Constraints
Not Null, Unique, Default and Check constraints
Primary Key and Referential Integrity or foreign key constraints
Data Types In TSQL
Table
Creating Table
Altering/ Deleting Table

Data Manipulation Language 9 Topics

Insert
Identity
Creating A Table From Another Table
Inserting Rows From One Table To Another
Update
Computed Columns
Delete
Truncate
Difference Between Delete and Truncate

Data Query Language (DQL) 12 Topics

Select Clause
Where clause
Top clause
Order By Clause
Distinct Clause
Isnull() function
Column aliases
Predicates
Between … And
In
Like
Is Null

Built In Functions 13 Topics

Scalar Functions
Numeric Functions
Character Functions
Conversion Functions
Date Functions
Aggregate Functions
Convenient Aggregate Functions
Statistical Aggregate Functions
Group By and Having Clauses
Super Aggregates
Over (partition by …) Clause
Ranking Functions
Common Table Expressions (CTE)

Set Operators 3 Topics

Union
Intersect
Except

Joins 9 Topics

Inner Join
Equi Join
Non-Equi Join
Self-Join
Outer Join
Left Outer Join
Right Outer Join
Full Outer Join
Cross Join

Sub Queries 7 Topics

Single Row Sub Queries
Multi Row Sub Queries
Any or Some
ALL
Nested Sub Queries
Co-Related Sub Queries
Exists and Not Exists

Indexes 4 Topics

Clustered Index
Non-Clustered Index
Create, Alter and Drop Indexes
Using Indexes

Security 4 Topics

Login Creation
User Creation
Granting Permissions
Revoking Permissions

Views 3 Topics

Purpose Of Views
Creating, Altering and Dropping Indexes
Simple and Complex Views

Transaction Management 4 Topics

Introduction
Begin Transaction
Commit Transaction
Rollback Transaction

Power BI

How to use Power BI to create simple, powerful and practical visual narratives out of difficult data. In our training, we discuss the whole process of data visualization, data connection, data cleaning and modeling, and interactive dashboard creation. With practical examples at hand, you will create reports that enable stakeholders to make knowledgeable, data-driven choices, as well as experiment with numerous other sophisticated technologies of visualization.

12 Modules

Power BI Certification Course Curriculum

Introduction 7 Topics

Power BI Installation
Power BI Desktop
Data Imports into Power BI
Views in Power BI
Building a Dashboard
Publishing Reports
Creating Dashboard in Power BI

Components 8 Topics

Power Query
Power Pivot
Power View
Power Map
Power BI Service
Power BI & QA
Data Management Gateway
Data Catalog

Integration with Data Sources 8 Topics

Connect to DataSources
Power BI SQL Server Integration
Power BI MySQL Integration
Power BI Excel Integration
Python Integration with Power BI Desktop
Power BI Web Integration using APIs
Power BI Salesforce Integration
Power BI Microsoft Integration

Power Query Editor 14 Topics

Change Data type of column
Clean and Transform using Query Editor
Advanced Data sources and transformations
Cleaning irregularly formatted data
Combine Multiple tables
Clusters
Format dates
Groups
Hierarchies
Joins
Pivot table
Query Groups
Split Columns
Unpivot table

Data Models/ Relationship 14 Topics

How Data Model Looks Like
Database Normalization
Data Tables vs Lookup Tables
Primary Key vs Foreign Key
Relationships vs Merged Table
Creating Table Relationships
Creating Snowflake Schemas
Managing & Editing Relationships
Active vs Inactive Relationships
Relationship Cardinality
Many to Many
One to One
Connecting Multiple Data Tables
Filter Flow

Data Analysis Expressions (Dax) Functions 7 Topics

Introduction to DAX
DAX calculation types
Aggregate Functions
Date Functions
Logical Functions
String Functions
Trigonometric Functions

Charts 21 Topics

Area Chart
Bar chart
Card
Clustered Bar chart
Clustered Column chart
Donut chart
Funnel chart
Heat Map
Line Chart
Clustered Column and Line chart
Line and Stacked Column chart
Matrix
Multi-Row Card
Pie chart
Ribbon chart
Stacked Area char
Scatter Chart
Stacked Bar chart
Waterfall chart
Map
Filled Map

Filters 8 Topics

Slicer Basic
Filters
Advanced Filters
Top N Filters
Filters on Measures
Page Level Filters
Report Level Filters
Drill through Filters

Visualizations 12 Topics

Visuals in Power BI
Create and Customize simple visualizations
Combination charts
Slicers
Map visualizations
Matrixes and tables
Scatter charts
Waterfall and funnel charts
Gauges and single-number cards
Modify colors in charts and visuals
Z-Order
Duplicate a report page

Exploring Data 5 Topics

Power BI Service
QuickSights in Power BI
Create and configure a dashboard
Share dashboards with organizations
Install and configure personal gateway

Power BI and Excel 4 Topics

Using Excel Data in Power BI
Upload Excel Data to Power BI
Import Power View and Power Pivot to Power BI
Connect OneDrive for Business to Power BI

Power BI Publishing and Sharing 11 Topics

Introduction to content packs, security and groups
Publish Power BI Desktop reports
Print and export dashboards and reports
Manually republish and refresh your data
Introduction Power BI Mobile
Creating groups in Power BI
Build content packs
Use content packs
Update content packs
Integrate OneDrive for Business with Power BI
Publish to web

Python

Get a solid base in Python and move to advanced data analytics applications. This module includes key libraries such as Pandas and NumPy to manipulate data, web scraping, automation and API integration techniques. With the help of the comprehensive project-based learning, you will address the real-world business issues, create a professional portfolio, and possess the required programming skills that will allow facing any data problem.

12 Modules

Python for Data Analytics Certification Curriculum

Introduction 6 Topics

Interpreted vs Compiled language
Introduction to Python
Advantages & Disadvantages of Python
Python Installation (Anaconda)
Applications of Python
“Hello World!” in Python

The Basics (DataTypes) 17 Topics

Variables
Keywords
Multiple Assignment
What are Datatypes?
Numbers
Strings
Indexing and Slicing
String Functions
Lists
List Functions
Dictionary
Dictionary Functions
Tuples
Sets
Type Conversion (Str, Int, Float, etc.)
Date & Time (Date, Time and DateTime classes in Python)
Operators (Arithmetic, Comparison, Logical, Assignment, Binary, Identity, Membership Operators)

Conditional Statements & Loops 9 Topics

If-Else statements
Relational Operators
Nested If/Else
Elif Statements
Logical Operators
For Loops
While Loops
Nested Loops
Pass, Break and Continue

Functions 7 Topics

User-defined functions
Unlimited parameters
Global and Local variables
Lambda functions
Map function
Sort function
Error and Exception Handling

Python Comprehensions 4 Topics

List Comprehensions
Dictionary Comprehensions
Set Comprehensions
Tuple Comprehensions (doesn’t exist)

Oops 6 Topics

Classes and Objects
Methods in Classes
Class Attributes
Instance Attributes
Inheritance
Overriding Methods

File Handling 5 Topics

Creating a file
Reading a file
Writing a file
Appending to file
Copying file

Web Scraping 7 Topics

Intro to requests
Intro to BeautifulSoup
Parsing HTML structure into soup
Data extraction from soup/HTML
Wikipedia scraping
News website scraping
Maps scraping

Database Integration 6 Topics

What is a database?
What is SQL (Structure Query Language)?
Introduction to MySQL
Installing MySQL
Connection MySQL with Python
CRUD operations

Multi-Threading 7 Topics

What is multi-threading?
Introduction to parallel processing
Intro to threads
Threading module
Creating threads using threading module
Synchronizing threads
Threads priority queue

Exploratory Data Analysis 4 Topics

Working with NumPy
Working with Pandas
DataFrames
Analyzing a dataset using NumPy and pandas

Natural Language Processing (NLP) 12 Topics

Intro to Natural Language Processing
Installing NLTK toolkit
Working with NLTK Toolkit
Sentence Segmentation
Word Tokenization
Parts-of-Speech Tagging
Lemmatization
Stop-word removal
Named Entity Recognition (NER)
Bag of words model
TF-IDF (Term Frequency – Inverse Document Frequency)
ML modelling

Industry Ready Data Analyst Projects

Our Data Analyst course in Udaipur is built around practical, hands-on experience. We believe the best way to master data analytics is by doing it. That’s why our curriculum includes a diverse range of industry-relevant projects that challenge you to apply your skills to solve real business problems. These projects will form the foundation of your professional portfolio, showcasing your ability to deliver tangible results to potential employers.

Get Real-World Experience

Website & E-commerce Analytics

- Business Problem: Companies struggle to understand visitor behavior and identify what drives sales on their websites.
- Objective: You will analyze website traffic, user journeys, and sales funnel data to uncover insights that improve user engagement and boost conversion rates.
- Tech Stack: Your toolkit will include Excel, SQL, Power BI/Tableau for dashboarding, Python for data aggregation, and more analytical tools

Marketing Campaign Analytics

Business Problem: Businesses often find it difficult to measure the return on investment (ROI) and performance of their marketing campaigns.
Objective: Your goal is to analyze campaign data from multiple channels to identify top-performing strategies, calculate cost per acquisition, and recommend budget optimizations.
Tech Stack: You will use Excel, SQL, and Power BI/Tableau, along with advanced attribution modeling techniques and other marketing analytics platforms.

Customer Segmentation (Descriptive Analytics)

Business Problem: A one-size-fits-all approach to marketing leads to missed revenue opportunities and low customer engagement.
Objective: You will use transactional and demographic data to segment customers based on their behavior, allowing for personalized marketing strategies that increase loyalty and sales.
Tech Stack: This project involves Excel, SQL, Power BI/Tableau for visualization, Python with clustering algorithms, and other powerful segmentation techniques.

Business Problem: Companies need clear insights to identify their top-performing products, sales representatives, and regions.
Objective: You will analyze historical sales data to uncover trends, calculate key performance indicators (KPIs), and create reports that provide actionable insights for strategic planning.
Tech Stack: Master tools like Excel with advanced pivot tables, SQL for complex queries, Power BI/Tableau for interactive dashboards, Python libraries, and additional enterprise analytical tools.

Business Problem: Inefficient inventory management leads to costly overstocking or customer-losing stockouts.
Objective: Your task is to analyze stock levels, sales velocity, and demand trends to optimize procurement processes and improve overall supply chain efficiency.
Tech Stack: You’ll work with Excel, SQL, and Power BI/Tableau, incorporating forecasting models, demand prediction techniques, and other supply chain analytics tools.

Business Problem: Businesses lack a clear view of profitability by product, region, or customer, hindering strategic decision-making.
Objective: You will analyze revenue, costs, and profit margins to identify the most profitable segments and uncover areas of cost leakage, providing crucial financial insights.
Tech Stack: This project utilizes Excel, SQL, and Power BI/Tableau, along with financial modeling methods and other advanced analytical techniques.

By completing these projects, you’ll build a robust portfolio that proves your job-readiness.

400+

Hours of content

100+

Live sessions

Tools and software

Data Analyst Skills you can add in your CV

Data Analyst Tools Covered

What Sets This Program Apart?

GyanSetu

Other Courses

Industry Mentors

✔ IIT/IIM leadership
✔ 15+ yrs experience
✔ Working professionals

✘ Theoretical trainers
✘ No real exposure

Complete Toolkit

✔ Excel to Advanced Excel
✔ SQL + Power BI
✔ Python + Statistics
✔ Generative AI Tools

✘ Limited syllabus
✘ No AI tools
✘ Outdated curriculum

Beginner to Pro Roadmap

✔ Starts from basics
✔ Step-by-step learning
✔ No prior knowledge needed

✘ Assume experience
✘ No structured path

AI-Powered Learning

✔ AI integration
✔ AI dashboards
✔ Automation workflows

✘ No AI exposure
✘ Only traditional tools

Career Specialization

✔ Data Analyst Track
✔ Business Analyst Track
✔ Marketing Analyst Track
✔ Power BI Specialist

✘ One-size-fits-all
✘ No specialization

Real Industry Projects

✔ 25+ real datasets
✔ 2 Live capstone projects
✔ Finance, HR, Retail use cases

✘ 1–2 basic projects
✘ Academic examples only

Practical Learning

✔ 70% hands-on
✔ Dashboards + SQL
✔ Python notebooks

✘ Theory-heavy
✘ Limited practice

Career Support

✔ Resume building
✔ Interview prep
✔ Hiring guidance

✘ No structured support
✘ No networking

Who is this course for?

Students and Recent Graduates
Working Professionals
Career Changers
IT Professionals
Educators and Academic Researchers
Entrepreneurs and Business Owners

Career Assistance for Data Analyst Course

Job Opportunities Guaranteed

Get a 100% Guaranteed Interview Opportunities Post Completion of the training.

Access to Job Application & Alumni Network

Get chance to connect with Hiring partners from top startups and product-based companies.

Mock Interview Session

Get One-On-One Mock Interview Session with our Experts. They will provide continuous feedback and improvement plan until you get a job in industry.

Live Interactive Sessions

Live interactive sessions with industry experts to gain knowledge on the skills expected by companies. Solve practice sheets on interview questions to help crack interviews.

Career Oriented Sessions

Personalized career focused sessions to guide on current interview trends, personality development, soft skill and HR related questions.

Resume & Naukri Profile Building

Get help in creating resume & Naukri Profile from our placement team and learn how to grab attention of HR’s for shortlisting your profile.

Top Companies Hiring for Data Analyst Course

Honours & Awards Recognition

GD Goenka University

Livpure

Denso International

ReverseLogix

BML Munjal University

Delivering Training To Wedapt

Manav Rachna University

GLA University

DPGITM

GD Goenka University

FOR QUERIES, FEEDBACK OR ASSISTANCE

Contact Gyansetu Learner Support

+91 9999 201 478 +919999201478

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Our Learners Testimonials

Ruben Thayil

Associate Manager

I'll be honest - Gyansetu was exactly what I needed for my career. The whole approach was hands-on and industry-focused, not just bookish knowledge. Mentors were experienced people who've been there, done that. The skills I picked up here helped me secure my current position as Associate Manager at Air India. Really glad I took this course.

Madhvi Joshi

Corporate Analyst

Gyansetu's Data Analyst course was a game changer. Hands-on training and great placement support helped me land a role at LINC. Totally worth it!

Priya Sharma

Data Analyst

Honestly, I was skeptical about online courses, but Gyansetu changed my mind. The way they break down SQL queries and Python libraries actually made sense to me. My mentor was patient with my questions (and I had a LOT of them 😅). The best part? I could immediately apply what I learned in my current job. Landed a data analyst role within 3 months of finishing.

Self Assessment Test

Learn, Grow & Test your skill with Online Assessment Exam to achieve your Certification Goals.

Frequently Asked Questions

Q1. What will I learn in this Data Analyst course in Udaipur?

You will master a thorough set of knowledge, such as Python programming, SQL database management, Advanced Excel, and data visualization using Power BI. We have a comprehensive curriculum on data cleaning and statistical analysis, predictive modeling and the business intelligence methodology among many others to ensure that you are well equipped to be in the industry.

Q2. Is any prior coding or technical experience required to join this course?

No, you do not require any previous coding or technical experience. Our Data Analyst course is not restricted to any specific group of people. We begin with the basics and gradually develop your proficiency in such disciplines as Python, SQL, data analysis and more. All you need to access is a desire to learn and interest in data.

Q3. How long does it take to complete the Data Analyst Course?

You are welcome to get flexible schedules. We offer a 4-month training program on Data Analyst on weekday batches, 6 months on weekend batches, or the 60-day fast track program. Each batch has a similar comprehensive curriculum and project experience.

Our placement assistance is 100 percent to assist you to get started in the business. We will assist with professional resume writing, intermediate interviews with professionals in the industry, and individualized feedback. We also introduce you to our web of recruiting agents in Udaipur and elsewhere to offer you the unique employment prospect.

You will have practical knowledge of a great variety of tools in demand. Training on programming languages, such as Python and SQL, on data visualization programs, such as Tableau and Power BI, and on analytical workhorses, such as Advanced Excel. You will also know how to utilize such libraries as Pandas and NumPy, and other critical business intelligence platforms.

Yes, we do have a flexible learning format, such as live online education. The same qualified teachers who conduct our physical classes also conduct our interactive online classes meaning that you will get a high standard learning experience, but at the comfort of your own home. Course materials, projects, and support will be available to you.

We have designed our course fees in the most value-adding ways. To see all price details, installment plans and any present discounts to our Data Analyst training in Udaipur, this will require filling out our inquiry form, or simply give our admissions department a call. Our vision is to provide access to quality education.

Yes, with successful completion of the course, you will be given an industry-approved certification of Data Analyst. The certificate certifies your expertise in a broad set of skills such as data visualization, Python programming, and advanced analytics and may be posted on your resume and LinkedIn profile and professional portfolio.

You will have a robust portfolio through undertaking numerous practical projects in different fields. Such projects involve analysis of e-commerce sales data, optimization of marketing campaigns, customer segmentation, inventory, financial profitability analysis and a lot more industry-related situations that make you ready when on-the-job.

The main aim of a Data Analyst is to analyze large volumes of data to find any trends, produce a report, and derive business intelligence with the help of such tools as SQL, Excel, and Power BI. A Data Scientist will go at least one step more and apply sophisticated statistical techniques and machine learning algorithms to construct predictive models and predict the future.

The need to hire qualified data analysts in Udaipur is increasing at a very high pace. On certification, you may take up employment as Data Analyst, Business Intelligence Analyst, Marketing Analyst, Financial Analyst, and Operations Analyst. Our placement division will assist you finding the top companies that are in need of professionals with your expertise.

Absolutely. Data analytics is one of the areas that embrace the contributions of professionals who have diverse backgrounds such as finance, marketing and operations. Our course will equip, in a progressive way, your technical competence and experience so that you, at the end of the program, can effectively move into a data-oriented job.

Our trainers are highly experienced industry experts and have more than 10 years of practical experience in data analytics. They also have practical experience and knowledge on working in the best companies, so you are guaranteed to study the best and the most updated techniques. They are committed to offer one-on-one mentorship and support during your education.

We know that timetables may be hectic. We record all our live sessions and provide them to you in our learning management system. This will enable you to simultaneously attend any classes you may have missed and go over intricate subjects as you find necessary to further your knowledge.

Entry-level Data Analysts in Udaipur have competitive wages that might be adjusted according to the company, your expertise, and the type of projects you have completed. With experience and specialization (business intelligence or machine learning) your earning potential can go exponentially higher.