Data AnalyticsAI-Powered Curriculum

Data Analytics Course in Phagwara

Turn numbers into decisions — Excel, SQL, Python, Power BI and Tableau, with dashboards, live projects and placement assistance.

  • Live client projects
  • Practitioner trainers
  • Placement support
  • Certificate + internship
Duration
3 – 9 Months
Mode
Classroom, Weekend & 1-on-1
Eligibility
12th Pass Onward
Includes
Internship Letter

25,000+

Students trained

since 2007

4.9★

Google rating

556+ reviews

100%

Practical training

live client work

Overview

Course overview

Techcadd’s Data Analytics Programming Course in Phagwara is an industry-focused programme for students, graduates, job aspirants, entrepreneurs, business owners and aspiring analysts who want practical analytical skill. It covers Excel, SQL, Python, data cleaning, visualisation, Power BI, Tableau, business reporting, statistics, dashboard creation and AI-powered analytics tools. The training is hands-on throughout — real datasets, practical projects and industry-standard tooling — so you learn to collect, clean, organise, analyse, visualise and interpret data into insight that supports a decision. Unlike purely theoretical learning, you work with real datasets, reporting workflows, dashboard development and business intelligence technique, and finish understanding how organisations use data to spot trends, measure performance and decide well.

Students working through the Data Analytics track in the techcadd Phagwara lab
Every module ends in a working piece a trainer reviews with you — not a quiz.
The techcadd Phagwara campus, where the Data Analytics batches run
AI-Powered Curriculum

Industry-Ready Training in Data Analytics

Get Started

What you get

  • Industry-ready analytics certificateA certificate reflecting practical understanding of Excel, SQL, Python, Power BI, Tableau, data cleaning, dashboards, visualisation and business reporting.
  • Learn through practical projectsWork on projects mirroring real business scenarios — cleaning datasets, analysing performance, writing SQL, creating dashboards, building reports and presenting insight.
  • Build an analytics portfolioExcel reports, SQL projects, Power BI dashboards, Tableau visualisations, Python analysis, KPI reports and insight presentations — proof you can show an employer or client.
  • Career and placement supportCV work, interview preparation, guidance on presenting your projects, and a clear picture of the paths in Analytics, BI, Reporting and Business Analysis.
Students
25K+
Google rating
4.9★
Estd.
2007
Practical
100%
Eligibility

Who can do
this course

The Data Analytics course is built for people at six different starting points, and the batch is deliberately mixed. What matters far more than your background is turning up consistently and finishing what each module asks you to build.

  • 01

    12th Pass Students

    You do not need previous technical experience to understand how businesses use data. A structured course covers Excel, basic SQL, Python fundamentals, cleaning, charts and dashboards — a smart way to explore business analytics alongside your studies.

  • 02

    College Students & Graduates

    Employers value academic knowledge combined with practical analytical skill. Whatever you study — commerce, management, arts, computer science, engineering or mathematics — analytics shows you how information becomes insight.

  • 03

    Job Seekers & Freshers

    Learning several tools alone is confusing. A structured path replaces certificate-collecting with understanding how real projects run: cleaning raw data, writing queries, building dashboards, analysing trends and presenting business insight.

  • 04

    Working Professionals

    Already in IT, finance, sales, marketing, operations or management? Analytics makes your experience more valuable. Sales professionals learn to analyse performance; business professionals learn how dashboards support decisions.

  • 05

    Entrepreneurs & Business Owners

    You do not have to become an analyst. Understanding your own sales trends, customer behaviour, marketing performance and operational data makes you a better decision-maker — and easier for analysts and agencies to work with.

  • 06

    Freelancers & Aspiring Freelancers

    Excel reporting, SQL analysis, Power BI and Tableau dashboards, visualisation, business reporting and performance analytics are all billable — and dashboards are among the easiest deliverables to sell.

The case for it

Why this programme
is worth your year

Excel and a dashboard is the most immediately hireable data skill in Punjab — every firm with sales figures needs someone to read them, long before it needs anyone who can train a model. That gap is the whole argument for this course: there is local demand, there are budgets, and there are very few trained people to hand the work to.

A session running at the techcadd Phagwara centre
The case for it

Build skills that hold up beyond the classroom.

What separates this from a playlist of tutorials is supervision on real work. From the second half of the course you build on live client projects with a trainer beside you, make decisions that have consequences, and correct them the following week. That loop is the skill. No employer in Phagwara will take your word for it without work they can inspect.

Be realistic about the money. A fresher who finishes with a working portfolio starts near the bottom of the band and moves quickly; someone who finishes with a certificate and nothing to show does not. The difference is entirely what you built.

The alternative is what most people try first: free videos, a cheap online course, six months of drifting, and knowledge you cannot demonstrate. A structured programme with live projects, a mentor who corrects you, an internship letter and a placement cell that actually calls employers is the difference between knowing the subject and being hired to do it.

Students reach the Phagwara centre from Banga, Nakodar, Kartarpur and the university belt, and the weekend batch exists so a job or a degree does not have to be paused to attend.

  • 01

    Analytics skills are in demand across businesses

    IT companies, e-commerce brands, hospitals, financial organisations, manufacturers, education companies and local service providers all use data to measure performance. Excel, SQL, Python, Power BI, Tableau, visualisation and BI apply across all of them.

  • 02

    Learn how data analytics actually works

    Creating a chart is the beginning. Data collection and organisation, Excel formulas, cleaning, SQL, database fundamentals, Python, exploratory analysis, statistics, visualisation, dashboards, BI and storytelling are the rest.

  • 03

    Practical learning builds real confidence

    Tutorials teach you where the buttons are. Practical training teaches you to solve problems — cleaning, Excel analysis, SQL queries, Python, dashboards, Power BI reporting, Tableau and business analysis.

  • 04

    Think about insights, not just reports

    Creating reports is easy; finding the right insight is the challenge. You learn to read revenue, growth rate, conversion, customer trends, averages, percentages, KPIs and correlations well enough to know whether the data tells a useful story.

  • 05

    Analytics and AI are changing business intelligence

    AI is changing how analysts clean data, write queries and build dashboards. But it does not replace analytical thinking: the business problem, data quality, KPIs, trends and context still need a person who understands them.

Why now

Build Analytics Skills You Can Show, Not Just Talk About

  • Project-based learning gives you experience beyond classroom theory that goes straight into a portfolio.
  • A strong portfolio demonstrates Excel, SQL, Power BI, Tableau, Python and dashboard development in interviews.
  • Data Analyst and BI roles in Punjab start around ₹18,000 – ₹30,000 a month for a fresher with real project work.
  • The goal is not learning software tools — it is turning raw information into decisions a business can act on.
A Data Analytics session at the techcadd Phagwara centre
Reviewed by mentors. Built for interviews.
SyllabusHands-on

What you will
actually build

The syllabus is arranged so every module produces an asset rather than a set of notes. You will cover excel & data analytics foundations, data cleaning & preparation, sql & database analytics, python for data analytics, and finish with a live project built on Microsoft Excel, Advanced Excel, SQL. Modules run in the order a real project runs: foundations first, then the core skills, then applied work under supervision, then the portfolio and interview preparation that turn all of it into an offer letter.

Data Analytics02/04

Core Skills

The working knowledge the job description actually lists.

  • SQL & Database Analytics

    Learn to retrieve and analyse information where business data actually lives.

    3 weeks · 12 sessions

  • Python for Data Analytics

    Learn how Python takes over when the dataset outgrows a spreadsheet.

    3 weeks · 12 sessions

  • Data Visualisation & Dashboarding

    Learn to turn raw numbers into a visual story someone can act on.

    3 weeks · 12 sessions

Topics covered

SELECT statements, filtering and sortingJoins, grouping, aggregations and subqueriesWorking with practical business datasetsHow analysts use SQL for reportingPython fundamentals and the data librariesWorking with Pandas and NumPyAnalysing datasets programmaticallyAutomating repetitive data tasksCharts, graphs, KPIs, dashboards and business reportsSelecting the right visualisation for the questionBuilding interactive, professional dashboardsPresenting information clearly
Programme length

Choose the duration that suits you

The Data Analytics course runs as three nested levels. Each one builds on the last, so you can start at the foundation and continue later without repeating anything.

  • 3 MonthsFoundation

    Build your analytics fundamentals

    Understand how business information is organised and analysed — Excel, data cleaning, basic SQL, visualisation and reporting.

    What it covers

    • Introduction to Data Analytics
    • Excel fundamentals
    • Advanced Excel functions
    • Data cleaning basics
    • Sorting and filtering
    • Pivot Tables
    • Basic charts and visualisation
    • Introduction to SQL

    + 2 more

    Skills & tools

    • Microsoft Excel
    • Google Sheets
    • Basic SQL
    • Power BI basics

    Recommended for

    Data Analyst Trainee, MIS Trainee, Reporting Intern and junior analytics roles.

  • 6 MonthsProfessional

    Move beyond basic data analysis

    Practical skill in SQL, Python, Power BI, Tableau, dashboards and business reporting — the level professional analytics roles want.

    What it covers

    • Advanced Excel
    • Data cleaning and preparation
    • Advanced SQL queries
    • Database fundamentals
    • Python for data analytics
    • Pandas and NumPy
    • Data visualisation
    • Power BI dashboard development

    + 4 more

    Skills & tools

    • SQL
    • MySQL
    • Python
    • Pandas
    • Power BI
    • Tableau

    Recommended for

    Data Analyst, MIS Analyst, Reporting Analyst, Business Analyst, Power BI Developer and BI Analyst roles.

  • 9 MonthsExpert

    Build a complete analytics & BI skill set

    Advanced analytics with business intelligence, dashboard development, Python, advanced visualisation, reporting automation and AI-powered strategy.

    What it covers

    • Advanced Excel analytics
    • Advanced SQL
    • Python programming for analytics
    • Advanced Pandas
    • Data cleaning automation
    • Advanced Power BI
    • Data modelling and DAX
    • Advanced Tableau

    + 6 more

    Skills & tools

    • Power BI
    • DAX
    • Tableau
    • Python
    • SQL
    • GitHub
    • AI tools

    Recommended for

    Senior Data Analyst pathway, Business Intelligence Analyst, Power BI Developer, Reporting Specialist, Business Analyst and advanced analytics pathways.

What changes with each duration

Excel fundamentals

  • 3 Months
  • 6 Months
  • 9 Months

Data cleaning

  • 3 Months
  • 6 Months
  • 9 Months

Pivot Tables & reports

  • 3 Months
  • 6 Months
  • 9 Months

Basic visualisation

  • 3 Months
  • 6 Months
  • 9 Months

SQL fundamentals

  • 3 Months
  • 6 Months
  • 9 Months

Advanced SQL

  • 3 Months
  • 6 Months
  • 9 Months

Python for analytics

  • 3 Months
  • 6 Months
  • 9 Months

Power BI

  • 3 Months
  • 6 Months
  • 9 Months

Tableau

  • 3 Months
  • 6 Months
  • 9 Months

Dashboard development

  • 3 Months
  • 6 Months
  • 9 Months

Advanced Power BI & DAX

  • 3 Months
  • 6 Months
  • 9 Months

Advanced Tableau

  • 3 Months
  • 6 Months
  • 9 Months

Data modelling

  • 3 Months
  • 6 Months
  • 9 Months

Reporting automation

  • 3 Months
  • 6 Months
  • 9 Months

AI & prompt engineering

  • 3 Months
  • 6 Months
  • 9 Months

The programme is nested, not parallel. The 3-month track gives you the essential foundation. The 6-month course includes those fundamentals and continues into professional SQL, Python, Power BI, Tableau, dashboards and reporting. The 9-month programme combines all of it with advanced business intelligence, data modelling, reporting automation, AI tools and end-to-end projects — so moving to a longer duration never means starting from zero.

The toolchain behind the craft

One course.
A mesh of real tools.

Everything below is installed on the lab machines and used on live client work, not shown once in a slide and forgotten.

  • Microsoft Excel
  • Advanced Excel
  • SQL
  • MySQL
  • Python
  • Jupyter Notebook
  • Pandas
  • NumPy
  • Power BI
  • Tableau
  • Google Sheets
  • Matplotlib
  • Seaborn
  • Git & GitHub
  • ChatGPT & AI Tools
Certification

Get Certified in Data Analytics

Complete the course with a portfolio of live projects and receive an industry-recognised certificate, plus a documented internship letter accepted by Punjab universities.

  • Industry Certificate

    Recognised by employers across Punjab and beyond

  • Internship Letter

    Based on real client work, not a simulation

  • Portfolio of Projects

    Live work you can show in any interview

  • Placement Support

    CV review, mock interviews and hiring drives

Two certificates on completion — the course certificate and a separate capstone project certificate.

Future scope

Where this course
takes you

The roles this opens, what they pay in Punjab and beyond, and who is hiring for them — drawn from published job-market listings on one comparable scale, not a brochure number.

Salary outlook

Data Analyst

Turns business data into the reports and dashboards decisions get made from. Earnings vary with your skills, project experience, portfolio, certifications, company, location and performance.

Starting package
₹18,000–₹30,000/month
After 2 years
₹30,000–₹50,000/month

Punjab — Data Analyst / BI

Fresher₹18,000–₹30,000/month
After 2 years₹30,000–₹50,000/month

Delhi / NCR — Data Analytics / Business Intelligence

Fresher₹25,000–₹40,000/month
After 2 years₹40,000–₹70,000+/month

Remote / Freelance Data Analytics

Fresher₹10,000–₹25,000/month
After 2 years₹30,000–₹80,000+/month

Indicative ranges for Data Analyst roles, compiled from public job-market listings and drawn on the same scale in every market. Actual offers vary by employer, skillset and interview performance — Punjab pay typically reaches 2× the fresher ceiling within two years of delivery experience.

Talk about your target role

Where Data Analyst graduates get hired

  • IT companies and software organisations managing business and customer data
  • Startups and SaaS companies focused on analytics and performance reporting
  • E-commerce and D2C brands analysing sales, customers and product performance
  • Financial, healthcare and manufacturing organisations using reports and dashboards
  • 01

    What job roles open up after this course?

    Data Analyst, Business Analyst, MIS Executive, Reporting Analyst, Power BI Developer and BI Analyst. Practical project experience and the ability to explain an insight matter far more here than certificates.

  • 02

    What can I earn, and how fast does it grow?

    A fresher with real project work starts around ₹18,000 – ₹30,000 a month in the Punjab market, rising to ₹30,000 – ₹50,000 with two years of experience. Delhi/NCR runs higher, and analysts who add Python and machine learning move well beyond it.

  • 03

    Can I freelance or work remotely with this skill?

    Yes, and analytics is one of the easiest skills to freelance with because a dashboard or report is a self-contained deliverable. Freelance income ramps rather than starting at a salary: around ₹10,000 – ₹25,000 a month early on, and ₹30,000 – ₹80,000+ once you have real client work behind you.

  • 04

    Which industries hire for this in Punjab?

    IT companies and software organisations, startups and SaaS companies focused on analytics, e-commerce and D2C brands studying sales and customers, and financial, healthcare and manufacturing organisations — plus remote and freelance clients.

  • 05

    Should I take Data Analytics or Data Science?

    Analytics is the faster route to a first job. It stays closer to Excel, SQL, dashboards and business questions, and those skills are hireable in months. Data Science goes further into Python, statistics and machine learning — it takes longer but reaches higher. Many people start here, get working, and move across later.

Portfolio

Hands-on projects
you will ship

Project 01

Excel Business Analysis Project

Build a complete Excel analysis from scratch: organise business data, use formulas and functions, create Pivot Tables, analyse KPIs and produce a report someone can use.

  • Excel
  • Pivot Tables
Project 02

SQL Data Analysis Project

An analytics project answering real business questions in SQL — writing queries, filtering, joining, grouping and analysing datasets.

  • SQL
  • MySQL
Project 03

Python Data Analytics Project

A complete Python project on practical datasets: clean the information, analyse trends, manipulate data and build useful visualisations.

  • Data Analysis
  • Automation
Project 04

Power BI Dashboard Project

Build an interactive dashboard on business performance — data models, KPIs, charts, filters and reports that make the trends obvious.

  • Business Intelligence
  • Dashboards
Project 05

Sales & Customer Analytics Project

An analytical solution for a real business dataset: sales performance, customer behaviour, purchasing trends and the growth indicators that matter.

  • Excel
  • Power BI
Project 06

Tableau Visualisation Project

Turn a dataset into an interactive visual story with worksheets, dashboards, filters and charts that carry a business argument.

  • Tableau
  • Dashboards
Project 07

AI-Powered Data Analytics Project

Use modern AI tools to accelerate cleaning, SQL, reporting, research and visualisation ideas — with accuracy, reasoning and originality kept central.

  • AI Analytics
  • Automation
Project 08

End-to-End Data Analytics Capstone

A complete solution for a real business problem: collection, cleaning, SQL analysis, visualisation, dashboard development, reporting and presentation.

  • Excel
  • SQL

The working loop

Learn it. Build it. Make it yours.

Every project moves through the same loop: understand the brief, build with guidance, then explain the decisions behind your work.

  1. 01

    Understand

    Start from a real business objective and work out what information answers it — the KPIs, the data sources, the customer trends and the performance metrics that matter.

    Business Problem & Data Brief

  2. 02

    Build

    Work with Excel, SQL, Python, Power BI, Tableau and dashboards under trainer guidance — clean the data, analyse it, build the report and develop the insight.

    Data Analysis & Dashboard Development

  3. 03

    Present & Improve

    Present findings, dashboards, KPIs, trends and recommendations like a professional, and learn to explain your analytical approach in an interview or client meeting.

    End-to-End Data Analytics Project & Reporting

Why techcadd

Why students choose techcadd

There are many places to learn this in Phagwara and the brochure syllabus looks similar at all of them. What differs is who teaches, whether you ever touch real work, and whether anyone picks up the phone after you have paid. techcadd has trained students across Punjab since 2007 on the same model: small batches, working practitioners as trainers, client projects as coursework.

  • Trainers who understand analytics and BI

    The field keeps moving — AI, automation, BI platforms, cloud data tools and visualisation methods all change. Teaching uses practical examples and current approaches, so you understand not only how to build a report but why an insight matters.

  • Live and practical projects

    Without practical work it is hard to understand a real business problem. Projects span Excel, SQL, Python, cleaning, Power BI dashboards, Tableau, KPI reporting, BI and AI-powered workflows.

  • Small batches and doubt support

    A focused room means you can ask, discuss an analytical approach and get guidance while working on real datasets — whether you are a beginner or strengthening existing skill.

  • Build an analytics portfolio

    Finishing should mean more than a certificate. Practical exercises produce portfolio work demonstrating Excel, SQL, Python, Power BI, Tableau, visualisation, dashboards and reporting.

  • Career and placement guidance

    Resume improvement, interview preparation, portfolio presentation and mock interviews, with a realistic view of roles across analytics, BI, reporting and operations.

  • A practical approach to analytics

    The goal is confidence understanding data, not memorising formulas or software interfaces — practical Excel, SQL, Python, Power BI, Tableau, visualisation, BI, KPI reporting and AI-powered analytics.

Student reviews

What our students
in Phagwara say

  • Google
    What made it click for me was the lab time. You can sit after class and someone will still explain it until you get it.
    KMKaran MehtaB.Tech Student · Phagwara
  • Google
    I travelled in for the weekend batch and it was worth every trip. Small batch, real work, no time wasted on theory nobody uses.
    ASArshdeep SinghTrainee Engineer · Adampur
  • Google
    The course got me interview-ready faster than I expected. My interviewer asked to see my project and that was the whole conversation.
    PRPooja RaniGraduate · Kartarpur
  • Google
    I was switching careers and worried I would be behind. Half the batch was doing the same thing, and nobody made it awkward.
    SKSimran KaurCareer Switcher · Phagwara
  • Google
    I joined with almost no background and finished with a project I could actually show. The trainer never rushed the basics.
    RSRohit SharmaBCA Student · Banga
  • Google
    techcadd’s placement cell kept calling me for drives until I was placed. That persistence mattered more than anything else.
    NKNavjot KaurPlaced · Jalandhar
Side by side

How techcadd compares

Choosing a Data Analytics course should be about more than a certificate. If the goal is a career, the things worth comparing are the coding practice, the projects, the trainer support and the skills you can actually apply.

Data Analytics curriculum

techcadd

Industry-focused training covering Excel, SQL, Python, Power BI, Tableau, dashboards and reporting

Commonly offered

Often focuses mainly on basic tool concepts

Learning style

techcadd

Hands-on and practical, designed around real datasets

Commonly offered

Can be more theory-oriented

Practical project training

techcadd

Students learn data cleaning, analysis, visualisation, dashboarding and reporting

Commonly offered

Practical exposure may be limited

Analytics skills

techcadd

Covers Excel, SQL, Python, KPIs, reporting, dashboards and business intelligence

Commonly offered

May cover only selected tools

Business intelligence

techcadd

Focus on data models, dashboards, KPIs and performance insight

Commonly offered

BI training can vary

Visualisation & reporting

techcadd

Practical understanding of charts, dashboards, storytelling and business reports

Commonly offered

Visualisation may receive limited attention

Portfolio building

techcadd

Practical assignments and analytics projects that demonstrate real skill

Commonly offered

Portfolio development may receive less focus

Career support

techcadd

CV guidance, mock interviews, portfolio preparation and career-oriented support

Commonly offered

Career assistance can vary significantly

Doubt support

techcadd

Trainer guidance throughout the learning journey to clarify concepts

Commonly offered

Support may be limited to scheduled sessions

Certification

techcadd

Course completion certification combined with practical learning exposure

Commonly offered

Certification format and practical exposure can vary

The right-hand column represents common market patterns, not a claim about any specific institute. Before choosing a Data Analytics institute in Phagwara, ask what you will actually learn, whether you will work on practical projects, how trainers teach analysis, and what career support is included.

Got questions?

Frequently Asked Questions

  • It is designed to help learners understand how business data is collected, cleaned, analysed, visualised and turned into insight. The focus is practical: Excel, SQL, Python, Power BI, Tableau, cleaning, dashboards, reporting and business intelligence — real analytical skill rather than software concepts.

Get started today

Not sure if Data Analytics is the right fit?

One call with a counsellor is usually enough to find out. Book a free demo class and see the lab before you decide.

Course information

Ask about Data Analytics

Send your question and a counsellor will call you back about batch timings, fees, EMI options, placement record, or whether this course fits your degree.

  • Free counselling and demo class
  • Weekday, evening, weekend or 1-on-1, all 2-hour classes
  • Internship letter and placement support
Security check

We never share your number. Expect a call within working hours.