Data Analyst Course in Pathankot

Kickstart your career with our Data Analyst Course in Pathankot. Master Generative AI, Python, Power BI, Advanced Excel and SQL. Get help from placement support and secure high-paying job opportunities.

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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: 18 Apr, 2026

Next Batch: 18 Apr, 2026

Overview
Features
Placements
Certification
Curriculum
Projects
Reviews
FAQs

Data Analyst Course in Pathankot Overview

Gyansetu is the provider of the most broad-based and successful Data Analyst program in Pathankot, a program that will help to shape the ambitious minds of aspiring professionals to be industry-ready. Our program is much more than the fundamental, as it exposes you to an intensified learning experience that encompasses the whole of the data ecosystem. You will be proficient in some of the most critical tools and techniques such as Python programming, SQL database management, Power BI visualization, Advanced Excel, Generative AI, statistical analysis, business intelligence, and so on.

The demand for skilled data professionals is skyrocketing. In fact, a 2025 industry report projects a 28% growth in data analytics job openings across India this year alone. By giving you practical lessons on real datasets of e-commerce analytics and financial modeling, among others, we will make sure you are prepared to make the most of these opportunities.

We know that each learner tends to have their own schedule requirements and that is why our Data Analyst course can be completed within 4 months on weekdays, 6 months on weekends or just 60 days in our fast-track batch. Whether you are a fresher or working professional, our flexible options ensure that you can upskill without compromise.

As you explore what makes our training superior, learn why thousands of students rely on us as they seek to transform their careers.

Why Choose Gyansetu’s Data Analyst Course in Pathankot?

We redefine technical education by closing the gap between theoretical and practical knowledge with plenty of skills, industry ready expertise, and the confidence to be employed anywhere in the world.

Complete Curriculum: Learn Python, SQL, and Power BI, Advanced Excel, Generative AI, statistics, and a variety of other methods of analysis.
Expert Mentorship: Get trained by the experts who are in the business field and have a work experience of 10 years or more in the field of data analytics, business intelligence, and others.
Flexible Learning: Select our 4-month weekday, 6-month weekend or 60-day fast-track batches to fit your time.
Real-World Projects: Solve various problems such as customer segmentation, sales forecasting, dashboard development, A/B testing, and many other business problems.
100% Placement Support: Get the advantage of resume construction, mock interviews and contact to our network of 1000+ hiring partners in industries.
Hands-On Learning: Learn by doing, with a whole day of lab work including data cleaning, data visualization, predictive modeling, and advanced analytics operations.
Global Certification: Earn a professional certification that acknowledges your experience in data analytics solutions, statistical techniques, and professional reporting.
Portfolio Building: Prepare an impressive portfolio of different projects including financial analysis, optimization of marketing campaigns, and others.
Lifetime access: Have unlimited access to course materials, recorded classes, new resources and our community of data experts.
Career Guidance: Get one-on-one career advising on career opportunities such as Data Analyst, Business Analyst, Analytics Consultant, and other career opportunities that offer high growth.

data-analyst-course-in-pathankot

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 Pathankot

After completing our course in Data Analyst successfully, you will get a globally recognized qualification to confirm your competence and fast track your career. It is a professional qualification that is a potent asset that you can use to impress the best employers.

Industry Recognition: The leading companies trust our certification as this indicates that you are ready to work with real-world data problems.
Shareable Credential: Add your verified certificate with ease in your LinkedIn profile, resume, portfolio and other social networks.
Comprehensive Skill Validation: It is an assurance that you are skilled in Python, SQL, Power BI, Advanced Excel, Generative AI, and a host of others.

Data Analyst Course Curriculum

We have an industry-focused curriculum that will guide you towards the core concepts to the master of data. You will be able to apply the most sought-after tools and techniques in practice so that you can be ready for the demands of a data-driven world.

Generative AI

The future of analytics is the integration of Generative AI and Large Language Models in your workflow. That way, you will be able to master timely engineering to make informed decisions regarding the analysis of data and familiarize yourself with AI-driven storytelling with the help of equipment such as DALL-E or Midjourney. The module discusses AI improvements on Python, SQL, and Power BI and AI integration in Microsoft Office to automate, summarize data, etc. You will be the front-runner of AI-based decision-making.

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

Create powerful business insights out of raw data with high-performance Excel. Such modules include the development of automated dashboards up to the use of complex functions, dynamic charts, and interactive reports. You will learn how to interpret, analyze, and visualize data with the help of business simulation on the job. Learn the most critical skills in the business intelligence and analytics workforce: PivotTables, Power Query, macros, and other features needed to become a valuable part of any team.

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

Take an overall tour of SQL basics to high-level database management. This module entails the in-depth skills of entry-level queries and advanced features such as query optimization, database design that can be scaled, stored procedures, and performance optimization. You will learn the art of handling big business data sets, maintaining data integrity, and identifying the valuable insights that lead to strategic decision-making in virtually any industry through real life situations.

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

Get to know how to convert intricate data into easy-to-understand, interactive, and action-driven dashboards using Power BI. The module focuses on data storytelling, which will help you effectively convey information to stakeholders and decision-makers. You will use real-life case studies to create professional reports, including data modeling and DAX formulas, advanced visualization, custom themes, and many more, to be certified professionals.

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

Establish a solid background in Python and develop high-level data analytics applications. Important libraries like Pandas and NumPy to operate with data as well as web scraping, automation, and API integration are discussed in this module. Project-based learning will equip you with actual business solutions, as well as an impressive portfolio. You will learn how to clean and explore data, as well as produce meaningful visualizations among other techniques of programming.

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 course emphasizes learning by doing. These six industry-grade projects will equip you with the practical experience needed to solve complex business problems and build a powerful, interview-ready portfolio.

Get Real-World Experience

Website / E-commerce Analytics

Business Problem: Companies lack insights into visitor behavior and conversion funnels on their digital platforms.
Objective: Analyze website traffic, user journeys, and sales data to identify opportunities for improving user engagement and boosting conversion rates.
Tech Stack: Excel for initial analysis, SQL for data extraction, Power BI/Tableau for dashboarding, Python for data aggregation, and more analytical tools.

Marketing Campaign Analytics

Business Problem: Businesses struggle to measure campaign ROI and effectively allocate marketing budgets across various channels.
Objective: Analyze campaign performance data to identify high-performing channels, calculate cost per acquisition, and provide recommendations for budget optimization.
Tech Stack: Excel for reporting, SQL for multi-source data merging, Power BI/Tableau for visualization, including advanced attribution modeling techniques and more.

Customer Segmentation (Descriptive Analytics)

Business Problem: A one-size-fits-all approach to marketing reduces customer engagement and limits revenue potential.
Objective: Segment customers into distinct groups based on purchasing behavior, demographics, and engagement metrics to enable targeted marketing strategies.
Tech Stack: Excel and SQL for data preparation, Power BI/Tableau for visualization, Python with clustering algorithms, and other advanced segmentation techniques.

Business Problem: Companies need to identify top-performing products, sales representatives, and regions to drive growth effectively.
Objective: Analyze historical sales data to uncover trends, calculate key performance indicators (KPIs), and create interactive dashboards for strategic decision-making.
Tech Stack: Excel (pivot tables), SQL for complex queries, Power BI/Tableau for dashboards, Python (pandas, matplotlib), plus additional visualization tools.

Business Problem: Inefficient inventory management leads to costly overstocking or customer dissatisfaction due to stockouts.
Objective: Analyze stock levels, sales velocity, and supply chain data to forecast demand, optimize procurement, and minimize holding costs.
Tech Stack: Excel for tracking, SQL for database queries, Power BI/Tableau for dashboards, including forecasting models and other demand prediction techniques.

Business Problem: A lack of clarity into profitability by product, region, or customer hinders strategic planning and growth.
Objective: Analyze revenue streams, cost structures, and profit margins to identify the most profitable segments and areas of cost leakage.
Tech Stack: Excel for financial modeling, SQL for querying financial data, Power BI/Tableau for executive dashboards, along with advanced analytical techniques.

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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4.7

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

Our Data Analyst course in Pathankot offers flexible schedules. You can take it in 4 months in batches over the weekdays, 6 months in batches over the weekends or in 60 days and do it with our intensive fast-track program. Each of the options deals with a similar comprehensive curriculum.

Q2. What will I learn in the Data Analyst Course in Pathankot?

You will master python programming, Advanced Excel, SQL database management, data visualization using Power BI, statistical analysis, Generative AI applications, and many others. The coursework is full of practical projects in order to achieve practical skills.

Q3. Do I need a coding or technical background to join?

No previous coding skills are necessary. Our course will be geared towards bringing you to the bottom up to the advanced. We discuss all the fundamentals of tools such as Python and SQL and thus, it is suitable for novice and non-technical parties.

The business environment in Pathankot has a lot of opportunities. The roles that graduates can take include Data Analyst, Business Analyst, BI developer and Operations analyst. Our placement service will help you get connected with the best businesses seeking the skills of skilled data professionals in the state and beyond.

Our training is of high quality at reasonable prices. To find out about fees and installment benefits and any existing discount offer, call our admissions staff. We have the belief in offering high-value education which is affordable to all.

Once you complete successfully, you will have a globally recognized certification by Gyansetu. This certification certifies your knowledge in most of the data analytics tools and methods and can be posted on your LinkedIn profile, resume, and portfolio.

We teach all the most demanded industry tools, including Python (with Pandas, NumPy), SQL, Microsoft Power BI, Tableau, Advanced Excel (with Power Query), Generative AI tools to help with analytics, and dozens of other useful software platforms.

Absolutely. Data analytics remains one of the most rapidly developing areas around the world. Companies in all industries are driven by data to make business decisions, which guarantees high and long-term needs of professionals who possess sufficient growth potential and competitive wages.

A Data Analyst is concerned with interpreting the historical data in order to solve the business issues, employing such tools as SQL and Power BI. A Data Scientist tends to deal with more sophisticated data and apply machine learning and predictive modeling to predict future events. Our course offers a solid background to either of the directions.

Our 100 percent placement support will comprise special classes on resume construction, portfolio creation, and mock interview. We will match you with our job market of more than 1000 recruiters and will carry you until you land an employment in the field of data analytics.

No rigid requirements are necessary. You just need the basic knowledge about computers and the willingness to learn them. The course can be taken by fresh graduates, working professionals interested in changing careers and any person fond of data.

You will be working on various real life projects that cut across industries. They are e-commerce sales analysis projects, customer segmentation projects, optimisation of marketing campaigns, financial profitability analysis projects, and plenty more, and you get a varied and useful collection of portfolio.

We also provide a flexible learning system that has got options to accommodate your learning preferences such as online and offline classroom training in Pathankot. You can study at the pace that best suits you and still achieve the same level of interaction and mentorship in our hybrid model.

Our faculty are highly skilled professionals in the industry that have more than 10 years of experience in companies dealing with data analytics, business intelligence, and data science. They are practical, real world savvy and committed mentors in each class.

Our outstanding qualities include our comprehensive curriculum that is proven in the industry, emphasis on practical projects, high-quality trainers, adaptable schedules, and customer placement service. We do not only teach you the tools, we create a career and make you job ready the first day of your job.