Best Data Analyst Course in Faridabad

Join the best Data analytics course in Faridabad at Gyansetu and become eligible to get the high-paying jobs with practical knowledge in Advanced Excel, SQL, Power BI and Python. Change your life in IT boom Faridabad today!

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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

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Data Analyst Course in Faridabad Overview

The Data Analyst Training in Faridabad at Gyansetu provides the skills that are required by companies across the sectors to process raw data into useful business information. Learn the state-of-the-art technologies including SQL, Python, Power BI, Advanced Excel, and Generative AI when solving practical live projects aiming to solve the problems of the industry.

Did you know? Industry research suggests that by 2033, the Indian data analytics industry will generate more than 150,000 employment opportunities with an initial salary of 7-10 lakh in such cities as Faridabad. Having one of the most in-demand jobs in the world, the data analysts will be your entry point to the thriving industry.

Our program will be sustained by physical sessions led by Microsoft certified trainers, which guarantees real-life, practical learning in six months. You will develop a memorable portfolio, and you will acquire industry-related experience and will have focused placement to get your dream job in data analytics.

Take the leap to enter the promising technology sector in Faridabad, and become a Data Analyst at Gyansetu, and get ready to become a successful part of the data driven future. Start your journey today!

Why Choose Gyansetu’s Data Analyst Course in Faridabad?

Make a splash in the competitive employment market in Faridabad with the unmatched Data Analytics Course offered by Gyansetu that incorporates the most modernized training along with local advantages to ensure that good profession is speeded up.

Guaranteed Placement Support: 90 percent of alumni were placed in three months at NCR giants like TCS and Infosys, since the location of Faridabad next to the technology hub in Delhi provided a faster way to get the job.
Expert Instructors: 10 years of analytics experience, providing more individual instructions than online courses that are impersonal.
Live Projects: Learn to create 15+ portfolio projects, polishing business analytical training skills that employers require.
Flexible Learning: Blended courses and weekend courses are accessible to the working professionals and local events could offer networking to 500+ hiring partners.
Recent Tools and Certification: Master SQL, Power BI, Generative AI and more under internationally recognized qualifications.
Affordable Excellence: EMI options and scholarships allow an excellent quality of training but at affordable costs, which are far more favorable under ROI compared to the local competition.
Personalized Career Assistance: Receive individual career advising sessions, mock interviews, and resume-writing workshops that are out-of-the-box customized to your objectives.
Exclusive Alumni Network: Get access to an expanding network of successful alumni working in top companies to gain insights and mentorship.
Small Batches: We keep the size of our batch small to ensure that our learners receive personalized mentorship.
Industry-Recommended Curriculum: Study in a curriculum carefully developed with leading recruiters and industry professionals, which means that your abilities will be in demand.

best-data-analyst-course-in-faridabad

Key Highlights of Data Analytics 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 Analytics 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 Faridabad

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 in Faridabad

On successful completion of the course you will earn a certificate that proves your skills in Generative AI, Power BI, Python, Advanced Excel, SQL and more. This credential helps you to stand out in the job market, signaling to top employers that you are ready to tackle complex data challenges immediately. This certificate can also be showcased on various platforms as an achievement.

Industry Recognition: Our certification is recognized by leading companies, validating your mastery of tools like SQL, Power BI, Tableau, and much more.
Verifiable Credibility: Each certificate comes with a unique ID for instant authenticity verification by employers worldwide.
Career Impact: Certified candidates frequently secure roles in high-demand sectors, often commanding higher starting salaries and rapid career progression.

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Data Analytics Course Curriculum

This Data analytics Course in Faridabad develops profundity in every fundamental tool to enable the learner to address actual business challenges with certainty. The explanation of what you learn in each of the major technologies is given below in a student friendly manner.

Generative AI

Generative AI training consists of the focus on how the current AI models can accelerate analytics work and the decision-making process. You get to know how to work with AI tools to create code snippets, summarize bulk data, create fast exploratory analysis, and write reports or insights. The course is also based on the explanation of the use of AI responsibly, basics of prompt engineering, and combining generative AI with Python and BI tools to work faster and smarter.

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

Higher levels of Excel provide firm bases in data management, reporting and business analysis. You deal with formulas, functions, PivotTables, Pivot Charts, lookups, Excel VBA, conditional logic and data validation to handle and summarize significant amounts of data. It has concentrated on developing MIS reports, dashboards and business-ready spreadsheets that have direct applications in the analytics functions of Faridabad enterprises.

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 a language which is taught as a means of querying and manipulating data contained in relational databases. You train on SELECT queries, filters, multi-table joined SQL queries, aggregations, and functions to solve real business queries. Indexing, subqueries, and simple performance conscious query writing are also presented in the course to ensure that you can comfortably work with production scale data in the role of an analyst.

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

Power BI training will teach end-to-end business intelligence: how to connect to their data sources and clean up their data in power query, create data models, and create interactive dashboards. You are trained on how to write DAX measures, formulate KPIs and publish reports to be utilized in real-time by decision-makers. In conclusion, you will be able to make professional sales, finance, operations, and marketing analytics dashboards.

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 instructed as your new programming language to data analysis, beginning with the basics and progressing to advanced analytics processes. You also get to know how to clean, transform, and analyze data amounts with libraries such as Pandas, NumPy and Matplotlib to create insights and data visualizations. Automation, CSV/Excel files, and data preparation to dashboards and machine learning are other Python modules.

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

Website / e-commerce Analytics

Business Problem: Visitor behavior and conversion rate is not always obvious to businesses.
Objective: Measure web traffic, web interaction, and sales funnel analytics in order to identify opportunities to improve user experience and increase the number of sales.
Tools: SQL, power BI/tableau, python to aggregate data.

Marketing Campaign Insight

Business Problem: It is not an easy task to measure the ROI and the effectiveness of the marketing campaigns in various media.
Objective: Evaluate campaign performance to identify campaign channels that performed well, determine key metrics such as cost per lead/acquisition and redistribute the budget to achieve stronger performance.
Tools: Excel, SQL, power BI/Tableau.

Customer Segmentation

Business Problem: A mass solution to the customers results in lost growth opportunities.
Objective: Cluster of customers by their spending habits, frequency and behavior based on transaction and demographic data to initiate customized marketing efforts.
Tools: Excel, SQL, Power BI / Tableau, Python.

Business Problem: There are many companies that can find it challenging to identify high performer products, regions or even sales reps.
Objective: Study the sales behavior, monitor the key performance indicators such as sales growth and contribution per region or product, and report on them to enhance the sales strategies.
Tools: Excel (pivot tables), SQL, power bi/tableau, python (pandas, matplotlib).

Business Problem: Improper inventory management will result in problems such as overstocking or out of stock which affects costs and customer satisfaction.
Objective: Evaluate inventory, turnover, and demand patterns to plan inventory and purchasing.
Tools: SQL, power-BI/tableau, excel.

Business Problem: The lack of knowledge of profitability by products, regions, or customers impedes the strategic decision-making process.
Objective: Evaluate the revenues, costs, margins and variances in order to determine profitable segments and to deal with cost inefficiencies.
Tools: Excel, SQL, PB/Tableau.

400+

Hours of content

100+

Live sessions

Tools and software

Data Analytics Skills you can add in your CV

Data Analytics Tools Covered

What Sets This Program Apart?

GyanSetu ✅

Other Courses ❌

All-in-One Toolkit

Complete roadmap: Gen AI, Python, Power BI, SQL, Excel

Limited topics, outdated tools, no Generative AI coverage.

Beginner-to-Pro

Starts from scratch, no prior knowledge required, progressive skill-building.

Assumes prior knowledge, leaving beginners lost.

Gen AI Empowered

Integrated Generative AI tools like ChatGPT, Midjourney, and LLMs in every module.

No exposure to modern AI tools or trends.

Career-Focused Tracks

Choose your specialization– Data Analyst, Research Analyst, or Business Analyst.

One-size-fits-all approach with no career customisation.

Real Industry Exposure

25+ hands-on projects + 2 live capstone projects with real company datasets.

Only 1–2 academic-style projects, often theoretical.

Legacy & Expertise

Founded by IIIT-H alumni with 15+ years of tech & training experience.

Trainers with limited real-world industry background.

Practice Over Theory

70% hands-on coding, real datasets, and problem-solving.

Mostly theory-based learning with minimal practice.

Expert Mentorship

Learn directly from working professionals at Amazon, Deloitte, Accenture.

Generic faculty with no active industry engagement.

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 Analytics Course in Faridabad

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 Analytics Role

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.

FAQ: Best Data Analyst Training in Faridabad

Q1. What is the duration and mode of Gyansetu's Data Analytics Course in Faridabad?

The duration of the course is 6 months and has flexible hybrid mode which include online, offline, hybrid, weekend and weekday batches.

Q2. Do I need prior coding or analytics experience to join?

No, to enroll in this course no prior experience is required. Our curriculum includes all the core concepts of Python, Advanced Excel, SQL, Power BI, Artificial Intelligence. Our curriculum starts with basics and progresses to advanced topics which makes it ideal for beginners.

Q3. What job roles can I target after completing this course?

After completion of the course learners can apply for Data Analyst, Business Analyst, Power BI Developer, and MIS Executive roles. In Faridabad’s NCR hub, alumni land positions at TCS, HCL, and startups with starting salaries of ₹6-12 lakhs annually, backed by placement support.

Yes, 90% placement rate with dedicated support: resume building, mock interviews, and connections to 500+ NCR recruiters. Faridabad-specific job fairs and alumni networks fast-track hires at local firms like Genpact and Tech Mahindra.

Core coverage includes Python (Pandas, NumPy), SQL querying, Advanced Excel (PivotTables, DAX), Power BI dashboards, and Generative AI for insights. Hands-on projects simulate real Faridabad business scenarios for practical mastery.

Absolutely—earn Gyansetu’s Data Analytics Certification from Microsoft Certified Trainers, plus digital badges for LinkedIn. It holds value for NCR jobs, with certified alumni seeing 35% higher interview callbacks and salary boosts.

Through 15+ live projects using real datasets from Faridabad industries like retail and manufacturing. Weekly assignments, capstone projects, and GitHub portfolio building make skills interview-proof and employer-trusted.

Yes, our students get lifetime access to recorded sessions via LMS. Students can download materials, revisit doubts anytime which ensures no one falls behind in this fast-paced Data Analytics Course in Faridabad.

Gyansetu is different from other institutes in Faridabad due to its Microsoft Certified Trainers, 100% placement focus, local NCR networks, and Generative AI integration set us apart. Unlike generic courses, we deliver tailored, job-specific training with proven outcomes in Faridabad’s tech scene.

No, there are no such prerequisites to enroll in this course which makes it ideal for freshers, upskillers and career switchers. We also offer a free demo session which helps learners to experience before enrolling in the course.

Our course fees are competitively structured to make industry-ready training accessible. We offer installment plans, EMI options, and scholarship opportunities so you can invest confidently in your analytics career.

By completing our Data Analytics Training in Faridabad, you unlock job opportunities across analytics, finance, consulting, and IT sectors. Our alumni often experience rapid promotions and salary increases, both in local markets and with MNCs.

Absolutely! With flexible batch timings (weekday, weekend, evening options) and hybrid learning modes, our Data Analyst Course in Faridabad is designed to fit busy student and professional schedules seamlessly.

Our curriculum evolves continuously based on the latest analytics trends, including Generative AI, Power BI automation, and real-world case studies. You’ll master tools, skills, and methods used by data teams in top NCR companies today.

Yes, all graduates gain lifetime access to our alumni community, job alerts, industry meetups, and ongoing project support. This network keeps you connected to analytics opportunities and mentorship whenever you need it.

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Batches Timing for Data Analytics Certification Course in Faridabad

Data Analytics Professional Certification in Faridabad

Data Analytics Course Curriculum

Generative AI

Advanced Excel

SQL

Power BI

Python

Industry Ready Data Analyst Projects

Data Analytics Skills you can add in your CV

Data Analytics Tools Covered

What Sets This Program Apart?

Career Assistance for Data Analytics Course in Faridabad

Top Companies Hiring for Data Analytics Role

Honours & Awards Recognition

Our Learners Testimonials

FAQ: Best Data Analyst Training in Faridabad

Q1. What is the duration and mode of Gyansetu's Data Analytics Course in Faridabad?

Q2. Do I need prior coding or analytics experience to join?

Q3. What job roles can I target after completing this course?

Q4. Does Gyansetu provide placement assistance in Faridabad?

Q5. Which tools and technologies are covered in the curriculum?

Q6. Is the certification industry-recognized?

Q7. How does Gyansetu ensure hands-on learning?

Q8. Can I access recordings if I miss live classes?

Q9. What makes Gyansetu different from other institutes in Faridabad?

Q10. Are there any prerequisites or eligibility criteria?

Q11. What is the fee structure for the Data Analyst Course in Faridabad?

Q12. What are the career growth prospects after course completion?

Q13. Can I join this program while working or studying elsewhere?

Q14. How relevant is this course to current industry trends?

Q15. Is there any post-course support or alumni network access?