Data Analyst Course in Laxmi Nagar

Unlock your potential in the booming analytics industry with the Data Analyst course in Laxmi Nagar. Our data analytics course in Laxmi Nagar helps you to enhance your skills with help of Power BI, Advanced Excel, SQL, Generative AI with real-world projects.

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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 Feb, 2026

Next Batch: 21 Feb, 2026

Overview
Features
Placements
Certification
Curriculum
Projects
Reviews
FAQs

Data Analyst Course in Laxmi Nagar Overview

The Data Analyst Course in Laxmi Nagar will be specially structured to provide you with the most advanced analytics competency that is being highly demanded in data-driven businesses operating today.

This will include knowledge of key tools such as Excel, SQL, Tableau, and Python. Another advantage is that one will get to work with real-world datasets during hands-on practice. Industry-leading sources predict a growth of over 23% annually in various data analytics roles.

This course focuses not only on theory but also on practical applications of data visualization, statistical analysis, and business intelligence that will enable learners to convert complex data into actionable insights.

Be it for a beginner or upskilling, the course provides a clear pathway to being a proficient data analyst with a curriculum aligned with market demands and recruitment trends.

Situated in Laxmi Nagar, the course offers several localized advantages, including Industry Connect sessions, Live Project Training, and personalized job placement services.

After enrolling in this program, you get job-ready skills which are required across various industries. Unlock your career today with expert guidance and practical training which is curated for your success.

Why Choose Gyansetu’s Data Analyst Course In Laxmi Nagar?

Gyansetu’s has become a popular choice for serious learners who want to seek their career in the field of data analytics due to their in-depth curriculum, direct career support.

Expert-Led Practical Training:Learn in-demand skills of industry which includes SQL, Excel, Python, Tableau by professionals who have industry experience.
Market-Aligned Curriculum: Gyansetu’s data analyst curriculum is designed to meet the needs and demands of employers across various industries in the field of data analyst.
Customized Career Support: At Gyansetu, we offer customized career support which adds success to your career in the market of data analytics.
Proven Alumni Success: Join a community of successful graduates already placed in top IT, finance, and retail firms, which validate the effectiveness of the course.
Job-Ready Business Analytics Skills: Learn to analyze data and communicate insights that businesses value to get you fully job-ready for a data-driven career.

Enroll now in Gyansetu’s Data Analyst Course in Laxmi Nagar and transform your career with expert guidance, practical exposure, and strong support created for success

data analyst certification course in Laxmi Nagar

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 in Laxmi Nagar

Track	Weekdays (Tue-Fri)	Weekends (Sat-Sun)	Fast Track
Course Duration	4 Months	6 Months	30 Days
Hours Per Day	2-3 Hours	3-4 Hours	6 Hours
Training Mode	Classroom/Online	Classroom/Online	Classroom/Online

Data Analytics Professional Certification in Laxmi Nagar

On completion of the course, you get a prestigious certification from Gyansetu’s data analyst course in Laxmi Nagar which helps to establish your credentials in analytics. This certificate ensures that you have mastered essential tools such as Microsoft Excel, SQL, Python and Tableau with the help of practical assessments and project work. This certificate demonstrates that one is ready to take real-world challenges in the field of data and provides an extra edge during recruitment.

The certificate thus proves to be important in career development, as many leading employers of IT, finance, and retail sectors accept the qualification awarded by Gyansetu for recruitment and promotion purposes. It also acts as a stepping stone to higher professional certifications and better pay grades. Earning this certification with Gyansetu ensures you possess both the knowledge and proof employers trust.

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Data Analyst Course Curriculum

Gyansetu’s data analyst course in Laxmi Nagar is helpful for rapid skill development. The curriculum includes all modules which are required by industries to solve practical business problems and analyze data for valuable insights.

Generative AI

Our module covers state-of-the-art AI developments relevant for data analytics and prepares you with future-proof skills to give you a competitive edge in the analytics world. Generative AI is used to learn how to leverage such technologies in the creation of synthetic data, the automation of analytics tasks and enhancing predictive modules.

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

This module covers all fundamentals and advanced functionalities of Excel. With the help of this module you will learn how to efficiently clean, organize and analyze large datasets for fast decision making. Master these skills since Excel remains an indispensable tool for data analysis across industries; it provides the foundational basis for more advanced analytics tasks.

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

SQL is the foundation of managing and retrieving data in a database. This module is helpful in learning how to create, query, update and join relational databases with the help of SQL. Understanding this is necessary for many roles which include interaction with large-scale databases and data warehouses.

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

Take Power BI training that includes hands-on work to become an expert in business intelligence. Make interactive dashboards with real business data. Our teachers are experts in the field and will show you how to turn raw data into useful business information by teaching you advanced data modeling, Power BI Desktop, DAX functions implementation, Power Query for data preparation and professional visualization techniques. This will prepare you for BI Analyst roles.

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

Python is a versatile programming language applied in data analytics and machine learning. It covers in-depth data structures and libraries like Pandas, NumPy and Mataplotib. The adaptability of Python is important in professional settings for statistical analysis and automating workflows.

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

Get Real-World Experience

Market Basket Analysis for Retail Optimization

This project analyzes customer purchase behaviour. You will work on rule mining techniques and algorithms to identify co-occurring items. Retailers can optimize product placement, inventory management, and promotions to increase selling opportunities, enhance customer satisfaction, and maximize revenue.

Sentiment Analysis for Social Media Monitoring

This project uses techniques to analyse sentiments in social media posts, online discussions, and customer reviews by classifying text data as positive, negative, or neutral. It greatly helps businesses examine public sentiment and emerging trends and make data-driven decisions.

320+

Hours of content

80+

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

all-in-oneAll-in-One Toolkit

Complete roadmap: Excel, Advanced Excel, SQL, Power BI, Python, Statistics, Generative AI tools, and Data Analytics case studies.

Limited topics, outdated curriculum, and no integration of modern analytics or AI tools.

progress-iconBeginner-to-Pro

Starts from scratch—Excel to advanced analytics—with step-by-step skill progression. Perfect for absolute beginners.

Assume prior knowledge, leaving beginners confused and stuck.

empoweredGen AI Empowered

Integrated Generative AI tools (ChatGPT, Claude, Bard, AI-driven dashboards, Insights Automation) in every analytics module.

No exposure to AI-driven analytics, automated insights, or modern AI workflows.

focusedCareer-Focused Tracks

Choose your specialization: Data Analyst, Business Analyst, Marketing Analyst, Power BI Specialist.

One-size-fits-all learning — no specialization, no targeted skill path.

How-to-Become-a-Data-AnalystReal Industry Exposure

25+ hands-on datasets + 2 live industry capstone projects with real company data (Finance, Retail, Marketing, HR, Supply Chain).

Only 1–2 basic academic projects with no real-world exposure.

expertiseLegacy & Expertise

Founded by IIIT-H alumni with 15+ years of industry + training experience in Data Science and Analytics.

Trainers with mostly theoretical knowledge and little real industry experience.

practicePractice Over Theory

70% hands-on learning: real datasets, dashboards, SQL queries, Python notebooks, problem-solving sessions.

Heavily theory-oriented with limited practical problem-solving.

mentorshipExpert Mentorship

Learn from working Data Analysts & BI Professionals at Amazon, Deloitte, Accenture, TCS, Genpact.

Generic faculty with no active engagement in the analytics industry.

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 in laxmi Nagar

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

Manav Rachna University

GLA University

DPGITM

GD Goenka University

FOR QUERIES, FEEDBACK OR ASSISTANCE

Contact Gyansetu Learner Support

+91 9999 201 478 +919999201478

4.8

4.7

5.0

Our Learners Testimonials

Ankita Mishra

Gyansetu’s commitment to practical learning has been evident throughout my journey as an Associate at EY. The institute’s focus on hands-on projects and real-world applications of Data Analytics principles equipped me with the skills and confidence needed to tackle complex business challenges in my role.

Anupriya Gupta

Transitioning into the role of Data Analyst at Google, I attribute much of my readiness to Gyansetu's practical learning environment. The institute's hands-on projects and real-world case studies provided me with the opportunity to develop the analytical skills necessary to thrive in a dynamic organization like Google.

Karan Bansal

I had a great learning experience with Gyansetu. The trainers were knowledgeable and supportive. The practical approach and hands-on training helped me in my work as an Insurance Operations Associate at Accenture.

Self Assessment Test

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

Frequently Asked Questions

What is the duration of the Data Analyst Course in Laxmi Nagar?

This is to accommodate working professionals and students. The duration of the batch completely depends on your choice. We also provide weekday and weekend batches.

Do I need any prior experience in data analytics or programming?

To enroll in a data analyst course in Laxmi Nagar you don’t need any prior experience in coding but basic computer knowledge can help. At Gyansetu, we have updated the curriculum to meet the latest trend of industry and our course module covers all the fundamental topics which gradually progresses to advanced topics which makes it easy to understand for freshers as well as professionals.

Which tools and technologies will I learn in this course?

During the course you will master skills like Excel, SQL, Python, Tableau and Power BI. These skills are necessary to master in the field of data analytics.

Yes, our curriculum includes live projects and real-world datasets. These projects help to gain hands-on experience.

On completion of the course we provide a globally recognized certificate. This certificate helps to boost your job profile and get the job you desire.

For flexible learning our course offers a mix of online and offline sessions. After the session we also provide recorded materials to ensure that our learners can easily learn at their pace.

Our course includes in-demand analytics skills and also offers counseling to secure roles from various sectors including IT, Finance and retails sectors.

Yes, working professionals can also enroll in this course. Our course is designed with flexible timings which is suitable for working professionals.

To enroll in the data analyst course at Gyansetu you can visit the center or enroll online through Gyansetu’s website.

Definitely! Data analytics is a field that’s growing rapidly and is used across many different fields. It’s also a great way to make sure you have a stable job and opportunities for advancement.

You can confidently apply for data analyst jobs if you finish real-life projects and use Gyansetu’s placement support services. You have even more chances of getting a job if you go to resume-building sessions and practice interviews.

Our Data Analyst course covers Generative AI, Advanced Excel, SQL & Database Management, Python for data manipulation and automation, Power BI visualization tools, and an introduction to Generative AI/Machine Learning. There are also real-time case studies and projects that give students hands-on experience.

Anyone who has graduated from any college, technical or non-technical, can take this course. People new to the field or looking to change careers can both sign up for the training, which starts with the basics and moves on to more advanced topics.

frequently asked questions by students for courses

Find Data Analytics Course in other cities

Data Analyst Course in Laxmi Nagar

Data Analyst Course in Laxmi Nagar Overview

Why Choose Gyansetu’s Data Analyst Course In Laxmi Nagar?

Key Highlights of Data Analyst Course

Placement Stats

Our Alumni in Top Companies

Data Analyst Course Placement Highlights

Batches Timing for Data Analytics Certification Course in Laxmi Nagar

Data Analytics Professional Certification in Laxmi Nagar

Data Analyst Course Curriculum

Generative AI

Advanced Excel

SQL

Power BI

Python

Industry Ready Data Analyst Projects

Data Analyst Skills you can add in your CV

Data Analyst Tools Covered

What Sets This Program Apart?

Career Assistance for Data Analyst Course in laxmi Nagar

Top Companies Hiring for Data Analyst Course

Honours & Awards Recognition

Our Learners Testimonials

Frequently Asked Questions

What is the duration of the Data Analyst Course in Laxmi Nagar?

Do I need any prior experience in data analytics or programming?

Which tools and technologies will I learn in this course?

Is practical training included in the curriculum?

Will I receive a certification after completing the course?

Are there any live instructor-led sessions or is it self-paced?

How does this course help in career growth?

Can working professionals enroll in this course?

How do I enroll in the Data Analyst Course at Gyansetu, Laxmi Nagar?

Will being a data analyst be a good job choice by 2025?

What can I do to get my first job as a data analyst?

What are the main subjects taught in a data analyst course?

Who Can Take the Data Analyst Course?