Data Analyst Course in Mohali

Learn the popular programming languages of Python, Generative AI, Power BI, Advanced Excel and SQL in Mohali in our Data Analyst course. Get well-paying employment through our placement and practical training.

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Job Assured Program 100% Assistance Till You Get Job

Course Duration 6 Months + Life Time Access

Industry Experienced Trainer Get Trained from Experts

Training Format Classroom/Live Online

Next Batch: 21 Mar, 2026

Next Batch: 21 Mar, 2026

Overview
Features
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Certification
Curriculum
Projects
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Data Analyst Course in Mohali Overview

We know at Gyansetu that the market of professional data workers has been skyrocketing and there is no better place to appreciate this fact than in the rising technological centre of Mohali. The Data Analyst course is a whole, full-fledged course that will make those aspiring learners industry prepared. No matter your unique skill level, as a fresh graduate or a working professional who needs to upskill, our curriculum encompasses all the basics of data manipulation and advanced predictive modeling (Python programming, SQL database management, Power BI and Advanced Excel as visualization and analytics tools, Generative AI integration, etc.).

According to recent industry reports of 2024, data analytics jobs in India have increased by 30% year-on-year, which is why this is the ideal moment to get into the industry. Training in Gyansetu is of high quality and career changing in that, our students receive training in the hands of industry specialists with 10 plus years of experience.

Why Choose Gyansetu’s Data Analyst Course in Mohali?

We provide an exclusive combination of theoretical and practical skills which will make our students stand out of the job market. Our training goes further than mere concepts to give an in-depth insight into the tools and techniques which are employed by the best companies in the present day.

Comprehensive Curriculum: Learn to Program Python, SQL, Power BI, Advanced Excel, Generative AI and thousands of data analysis methods of the most successful data analysts.
Hands-on projects: Work on real-world projects such as customer segmentation, sales forecasting, dashboard development, A/B testing, and other projects that are industry-specific.
Expert Mentorship: Our students are guided by industry professionals of experience with 10+ years of experience in one on one mentorship and career advice.
Flexible Learning: We provide flexible periods 4 months (weekdays), 6 months (weekends), or 60 days (fast track).
Certification Value: Earn an accredited certification, demonstrating your data analysis, visualization and predictive modeling skills, which you can post on LinkedIn and your resume.
Placement Support: We offer specific placement support, such as resume creation, mock interview, and networking with best employment partners in Mohali and the rest of the world.
Tools mastery: Get acquainted with the critical competencies in Python, Power BI, Generative AI Applications, Advanced Excel, SQL, and other data analytics methods that professionals use.
Career Development: Train and prepare to work in various positions as Data Analyst and Business Analyst, Market Research Analyst and others.
Practical Focus: Conduct case studies reflective of actual business issues, so that you are up to business on the very first day.
Community Access: Network with alumni and other peers in a vibrant community.

data-analyst-course-in-mohali

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 Certification Training in Mohali

Our certification is more than just a piece of paper; it is a testament to your skills and dedication.

Industry Recognition: Our certificate is recognized by leading companies in the analytics sector.
Shareable Credentials: You can easily share your achievement on LinkedIn, Resumes, Portfolios, and Social Media to attract recruiters.
Career Value: This certification validates your proficiency in Python, Power BI, Generative AI, Advanced Excel, and SQL, giving you a competitive edge in interviews and career progression.

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Data Analyst Course Curriculum

The curriculum of our Data Analyst course is carefully tailored to the full range of data analytics. You will learn to perform various tasks such as data cleaning, transformation, visualization, predictive analytics, and business intelligence with a heavy emphasis on the following five tools:

Generative AI

Learn the way Generative AI is changing analytics. You will get to know about prompt engineering, AI-based data storytelling, and the smooth collaboration of Generative AI with Microsoft Office applications and your analytics process. Understand the role of Generative AI in improving and automating processes in Python, SQL, Power BI, and Advanced Excel, among others, at the simplest level of automation and the most sophisticated level of content generation.

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

Notice Advanced Excel as an effective analytics tool. You will be able to make automated dashboards, use heavy functions, create dynamic charts and to create interactive reports. We underline the process of raw data to insights conversion with practical business simulation, which is important to business intelligence and analytics professions with a wide range of applications.

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

Learn advanced and basic database management skills and knowledge of SQL. You will study optimization of queries, designs of databases that could be scaled, stored procedures, performance tuning, complex joins, subqueries and much more using SQL. The practical business case will allow you to acquire knowledge in working with large volumes of data, data integrity, and meaningful insights to make business decisions.

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

Concentrate on converting complex data into readable and actionable dashboards with Power BI. We train on certification preparation, professional development and case studies in real life. Know how to deliver insights to decision makers through interactive reports, data stories and visualizations to help companies have a visualization of their success.

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

Begin with the basics and move to Python advanced applications. We deal with data manipulation, automation, web scraping, and API integration up to collaboration with SQL, Power BI, Advanced Excel, and Generative AI. We focus on project-based education and portfolio development, training you to work on business challenges and analytics activities in the real world.

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

We believe that practical experience is the key to mastering data analytics. That’s why our course includes extensive hands-on projects built exclusively on Python, Power BI, Advanced Excel, Generative AI, and SQL.

Get Real-World Experience

Website / E-commerce Analytics

Business Problem: Companies lack insights into visitor behavior and conversion.
Objective: Analyze website traffic, user behavior, and sales funnel metrics to improve engagement and conversions.
Tech Stack: Advanced Excel, SQL, Power BI, Python.

Marketing Campaign Analytics

Business Problem: Businesses struggle to measure ROI and performance of campaigns across channels.
Objective: Analyze campaign data to identify high-performing channels, calculate cost per lead/acquisition, and optimize budget allocation.
Tech Stack: Advanced Excel, SQL, Power BI, Python.

Customer Segmentation (Descriptive Analytics)

Business Problem: Treating all customers the same reduces engagement and revenue opportunities.
Objective: Segment customers using transactional and demographic data based on spending, frequency, and behavior to design targeted strategies.
Tech Stack: Advanced Excel, SQL, Power BI, Python.

Business Problem: Companies struggle to identify top-performing products, regions, and sales reps.
Objective: Analyze sales data to uncover trends, calculate KPIs like revenue, growth, and contribution by region/product, and provide actionable insights for strategic decision-making.
Tech Stack: Advanced Excel with pivot tables, SQL for complex queries, Power BI for interactive dashboards, and Python for deep analytics.

Business Problem: Overstocking or stockouts increase costs and reduce customer satisfaction.
Objective: Analyze stock levels, turnover, and demand trends to improve procurement and inventory management.
Tech Stack: Advanced Excel, SQL, Power BI, Python.

Business Problem: Lack of insight into profitability by product, region, or customer reduces strategic clarity.
Objective: Analyze revenue, costs, margins, and variances to identify profitable segments and cost leakages.
Tech Stack: Advanced Excel, SQL, Power BI, Python.

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

4.8

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. What is the duration of the Data analyst Course?

Our Data Analyst course has options of flexibility in terms of time. The training is offered in 4 month weekday batches, 6 months weekend batches, and our fast-track 60 day graduation program. Each batch contains the identical thorough curriculum such as Python, Power BI, Generative AI, Advanced Excel, SQL, practical projects, and certification.

Q2. What topics are covered in the Data Analyst Training in Mohali?

You will acquire broad expertise in Python programming, SQL database management, Power BI and Advanced Excel as analytics and visualization tools, Generative AI application, and data cleaning, transformation, and other aspects. The curriculum incorporates practical projects in the analysis of exploratory data to predict forms of models utilizing these instruments.

Q3. Do you provide placement assistance after the course?

Yes, we do offer specialized placement assistance so that you can take a jump into your career. We can help you with resume creation, mock interviews, portfolio development, and link you to the hiring partners in Mohali and the rest of the country. We train you to become a Data Analyst, Business Analyst, and so on- with good knowledge in Python, Power BI, Generative AI, Advanced Excel, and SQL.

Absolutely. We will bring you from beginner level to advanced level with Python and SQL. We touch on basics up to advanced knowledge of all five essential tools and, therefore, it is presentable by non-technical learners.

You will be fully proficient in Python, Power BI, Generative AI, Advanced Excel and SQL. Each of the modules, projects and exercises is constructed on the mastery of these five tools- so you become a practical, career ready, analytic.

Yes, Mohali is becoming an important technology center, with the need for a better demand of data professionals having high proficiency in Python, Power BI, Generative AI, Advanced Excel, and SQL. These are the skills which are taught to you during our course to prepare you for the top roles.

Yes, our curriculum will also include practical projects that will use only the five tools: Python, Power BI, Generative AI, Advanced Excel, and SQL. You will solve actual business problems to create a strong analytics portfolio.

The Data Analysts are concerned with the interpretation of business data to derive actionable insights based on such tools as Python, Power BI, Advanced Excel, Generative AI, and SQL. More advanced algorithms are used by Data Scientists, but both tracks are founded and practically practiced with the mentioned core tools in our course.

We have flexible learning options which are online and offline classes which will meet your learning preferences. We conduct interactive classes based on practical skills in Python, Power BI, Generative AI, Advanced Excel, and SQL.

To get the information about the fee structure and the ways of payment in detail, please refer to our admissions team. We have competitive prices, which include all the materials, five major tools in analysis and placement assistance.

Yes, you will have a certificate of Gyansetu, recognizing your knowledge in Python, Power BI, Generative AI, Advanced Excel and SQL on successful completion.

Simple mathematical concepts suffice, but there is no reason to have advanced math. We impart all the necessary analytics concepts in a lucid practical manner through Python, Power BI, Generative AI, Advanced Excel, and SQL.

Yes, we do get quite a number of non IT students who have easily made the transition by learning Python, Power BI, Generative AI, Advanced Excel, and SQL in our training.

The salaries will depend on years of experience and experience, though with the skills taught in our course, such as knowledge of Python, Power BI, Generative AI, Advanced Excel and SQL, you are already very sought after and can expect to get good offers.

In order to apply, go to our site or call our admissions department. We will be with you every step of the way and assist you in choosing your desired schedule, 4 months (weekdays), 6 months (weekends), or 60 days (fast track), to graduate as a Python, Power BI, Generative AI, Advanced Excel and SQL master.

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Data Analyst Course in Mohali

Data Analyst Course in Mohali Overview

Why Choose Gyansetu’s Data Analyst Course in Mohali?

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

Data Analytics Certification Training in Mohali

Data Analyst Course Curriculum

Generative AI

Advanced Excel

SQL

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Python

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Frequently Asked Questions

Q1. What is the duration of the Data analyst Course?

Q2. What topics are covered in the Data Analyst Training in Mohali?

Q3. Do you provide placement assistance after the course?

Q4. Is the course suitable for beginners with no coding background?

Q5. What tools will I learn in this course?

Q6. Are there job opportunities for Data Analysts in Mohali?

Q7. Can I work on real-time projects during the training?

Q8. What is the difference between data analysts and data scientists?

Q9. How are the classes conducted?

Q10. What is the fee structure for the data analyst course?

Q11. Will I get a certificate upon completion?

Q12. Do I need strong mathematics skills for this course?

Q13. Can I switch to a data analytics career from a non-IT field?

Q14. What kind of salary can I expect as a Data Analyst in Mohali?

Q15. How do I enroll in the Data Analyst course at Gyansetu?