Flagship project
Sales Dashboard with Power BI
Build an interactive sales dashboard that tracks revenue, profit, and KPIs using Power BI and SQL.
- Power BI
- SQL
- Dashboard
Data Analytics Mastery ProgramFrom Fundamentals
Complete Data Analytics Mastery Program – Master Core Tools and Build a Job-Ready Portfolio
Data Analytics Mastery Program course in AmritsarIntensive, hands-on data analytics training focused on real business data — small batches, daily labs, and placement assistance to get you job-ready.
12 / 16 WeeksBeginner to advancedHybrid
12 / 16 Weeks
Duration
Weekday/Weekend
Mode
12th Pass/Any Grad
Eligibility
8-10 Students
Batch Size
Admissions open
Data Analytics Mastery Program · 12 / 16 Weeks
Batch timings
- Morning
- Evening
- Weekend
- Live online
About the programme
Course overview
Course overviewtechcadd's Data Analytics Mastery Program is a practical, project-based program for beginners and professionals who need to acquire core data analytics skills and advance to expert-level proficiency.
It focuses on the essentials: Advanced Excel for analysis, SQL for querying data, and Python for data wrangling. You then move into data visualisation with Power BI and Tableau, learning to build dashboards and reports on real datasets.
You finish with a portfolio of 4-5 completed projects, a capstone project, and the interview-readiness to land your first Data Analyst role or advance your current career.
In today's fast-paced business world, the ability to extract insights from data is a superpower. Companies are drowning in data from sales, marketing, and operations, but they are starving for actionable intelligence. The challenge isn't collecting data; it's making sense of it. Data analytics is the engine that converts raw, messy data into clear, decision-driving insights—dashboards that track KPIs in real-time, SQL queries that answer critical business questions, and visualisations that tell a compelling story. Organisations urgently need professionals who can clean data, build reports, and communicate findings effectively. The most valuable skill isn't just knowing the tools—it's the ability to build data analytics solutions that deliver immediate business value.
techcadd's Data Analytics Mastery Program is a comprehensive, structured program built on the essential tools you see in every Data Analyst job description—Advanced Excel, SQL, Python, Power BI, and Tableau. This is not a theory-heavy course; it's a hands-on journey where you work with real datasets and solve real business problems from day one. You'll finish with a portfolio of real projects, not just a certificate. This course is designed for deep upskilling, delivered in a focused 12-16 week format with small batches of 8-10 students and daily mentor-led labs.
Placement assistanceLive data analytics labsInternship certificate
- Duration
- 12 / 16 Weeks
- Level
- Beginner to advanced
- Mode
- Hybrid
- Batches
- Morning, evening & weekend
Module by module
The curriculum, module by module
Module by module curriculumThe Data Analytics Mastery Program is a nested program. The 16-week Mastery track includes every module from the 12-week Foundation track and adds more depth. No module is repeated; you continue building on the skills you have already learned.
- Module 01 of 06
Advanced Excel, SQL & Data Fundamentals
The foundational knowledge every Data Analyst needs — how to query, clean, and prepare raw data for analysis.
Topics covered
- Advanced Excel formulas
- pivot tables
- data cleaning
- SQL queries
- joins
- aggregations
- filtering
- subqueries
Tools in this module
Advanced ExcelSQLMySQLGoogle SheetsYou finish withA documented SQL and Excel analysis on a real business dataset
- Module 02 of 06
Data Visualisation & Power BI
Building interactive dashboards and reports that drive business decisions.
Topics covered
- Power BI
- dashboard design
- data visualisation
- KPI reporting
- DAX basics
- data modeling
Tools in this module
Power BIExcelGitHubYou finish withA complete Power BI dashboard with interactive reports on a real dataset
- Module 03 of 06
Capstone Project & Career Readiness
Completing an end-to-end data analytics project with full documentation, plus career readiness for data analytics roles.
Topics covered
- Problem framing
- portfolio development
- resume preparation
- interview readiness
- data storytelling
Tools in this module
Power BIExcelGitHubPortfolioResumeYou finish withA complete capstone project with an interactive dashboard, and an interview-ready portfolio
- Module 04 of 06
Python for Data Analytics & Advanced SQL
Core data analytics programming — building Python scripts that clean, analyse, and visualise real business data, and taking your SQL skills to an advanced level.
Topics covered
- Python programming
- Pandas
- NumPy
- data wrangling
- Matplotlib
- Seaborn
- exploratory data analysis
- advanced SQL
- window functions
- CTEs
Tools in this module
PythonPandasNumPyMatplotlibSeabornJupyterSQLYou finish withAn end-to-end Python data analytics pipeline with visualisations deployed on a real dataset and a complex SQL analysis
- Module 05 of 06
Tableau & Advanced Dashboarding
Advanced dashboarding with Tableau and comprehensive data storytelling for business intelligence roles.
Topics covered
- Tableau
- dashboard automation
- data storytelling
- advanced visualisation techniques
- calculated fields
- parameters
Tools in this module
TableauPower BIGitHubYou finish withA fully interactive Tableau dashboard for a real business scenario
- Module 06 of 06
Expert Capstone & Career Readiness
Comprehensive career readiness for data analytics roles, including interview preparation and portfolio finalisation.
Topics covered
- Portfolio development
- resume
- LinkedIn profile
- interview readiness
- data analytics certification exam preparation
- mock interviews
Tools in this module
TableauPower BIPythonGitHubPortfolioResumeMock interviewsYou finish withAn interview-ready data analytics portfolio and resume, plus a fully documented expert capstone project
What you build
Projects that answer the interview question for you
Portfolio projectsEach project is reviewed individually, and the review notes go into your portfolio documentation.
SQL Data Analysis Project
Analyse a real business dataset using advanced SQL queries, joins, and window functions to extract actionable insights.
- SQL
- Data Analysis
- Business Intelligence
Python Data Pipeline Project
Build an end-to-end Python data pipeline that cleans, analyses, and visualises a real dataset.
- Python
- Pandas
- Data Visualization
Tableau Dashboard Project
Create a fully interactive Tableau dashboard for a real business scenario with advanced visualisation techniques.
- Tableau
- Dashboard
- Data Storytelling
Expert Capstone Project
Complete an end-to-end data analytics project with data cleaning, SQL analysis, Python visualisation, dashboard creation, and a business presentation.
- Multi-Domain
- Portfolio
- Data Analytics Strategy
The working loop
Learn it. Build it. Make it yours.
Learn it. Build it. Make it yours.Every project moves through the same loop: understand the brief, build it with guidance, then explain the decisions behind your work. The certificate is the receipt — the portfolio is the point.
- 01
Hyper-focused curriculum
You learn the most in-demand data analytics tools and techniques, focusing on the skills that deliver results.
Sales Dashboard with Power BI
- 02
Real datasets and projects
Every lab runs on a real business dataset with real questions and outcomes, not a simplified demo.
SQL Data Analysis Project
- 03
Mentor-reviewed deliverables
Each project ends with a working dashboard or analysis reviewed by a mentor who works daily on live data analytics problems.
Python Data Pipeline Project
- 04
Real-world business briefs from the start
Every analysis is built on a real-world business brief and measured through accuracy, business impact, and stakeholder communication.
Tableau Dashboard Project
The honest pitch
Your weeks should build a portfolio, not just a certificate.
Your weeks should build a portfolio, not just a certificate.A comprehensive course is worth the time only if you finish with real data analytics projects you can show and business insights you can defend.
Project completion certificate
Issued for the project you build and defend
Course completion certificate
Carries a certificate ID and a scan-to-verify code
Why choose Data Analytics Mastery Program
Why students choose techcadd
Why students choose techcaddWhat makes this course at techcadd different is its intense focus on building a real data analytics project portfolio, ensuring you finish with demonstrable skills rather than just disconnected certificates.
- 01
Mentors who still work on live data analytics systems
Not full-time lecturers — trainers who are still doing the job they teach.
- 02
One project, extended through every module
You start the project in Module 01, extend it through every module, and complete the capstone by Module 03 or 06.
- 03
Small batch sizes
8–10 students per batch ensures every student gets personalised feedback on every deliverable.
- 04
Nested, no-repeat curriculum
The longer program includes everything from the shorter track and adds more depth — you never repeat a module.
- 05
Documented internship experience
Every student receives a documented internship certificate alongside their course certificate.
- 06
Placement support
Resume and LinkedIn preparation, interview coaching, and active placement assistance for graduates.
Eligibility
Who can join the Data Analytics Mastery Program course
Who can join the Data Analytics Mastery Program courseThis course is designed for individuals who need a practical skill upgrade to meet their career goals.
- Educational backgroundNo specific degree or stream required — school leavers, graduates and career switchers all qualify.
- Prior experienceNone required. The programme opens at beginner level and builds from there across 12 / 16 weeks.
- AgeNo upper age limit. What matters is being able to commit to the full course rather than dropping off midway.
- EquipmentA laptop or desktop with a stable internet connection for classroom or live-online batches.
- Time commitmentAble to attend regularly across 12 / 16 weeks, in a morning, evening or weekend batch.
Where it leads
The roles this portfolio opens
Job titles vary by company, but the underlying expectations do not. Each destination below maps to work you will have already done during the programme.
Tools you will actually use
The working stack for Data Analytics Mastery Program
Tools and technologies coveredEvery tool below is installed, configured and used by you during the course — not demonstrated on a slide. You leave able to set up your own environment from scratch.
14tools covered
Spreadsheet software
- Advanced Excel
Query language
- SQL
Programming language
- Python
Data manipulation
- Pandas
Business intelligence
- Power BI
Data visualization
- Tableau
Version control
- Git
Code hosting
- GitHub
Certification
Get certified in Data Analytics Mastery Program
Get certified in Data Analytics Mastery ProgramIssued on completion against the modules you finished and the projects you submitted — plus an internship letter where the industrial training track applies. Shareable to LinkedIn, and verifiable by an employer who calls the Amritsar desk.
- Module-wise assessment, not attendance-based
- Project submissions logged against your certificate
- Internship letter on the industrial training track
- Verifiable directly with the campus office
Future scope
Where this takes you over the next five years
Where this takes you over the next five yearsThe skill does not stand still, and neither does what it is worth.
- Data analytics is the new baselineEmployers increasingly assume business knowledge will extend to SQL, Python, dashboards, and data storytelling.
- Machine learning and predictive analytics are the new layersTeams expect analysts to integrate predictive models, forecasting, and automation, not just build static reports.
The objective is practical, job-ready knowledge rather than memorised concepts.
Due diligence
How techcadd compares
How techcadd comparesWhat actually differs between this course at techcadd and a typical alternative.
| What you should ask | techcadd Amritsar | Other institutes |
|---|---|---|
| Live project work | Every module, from week one | Varies, often only at the end |
| Learning format | One project extended through every module | Topics demonstrated separately, rarely combined |
| Tools used | Advanced Excel, SQL, Python, Power BI, Tableau | Usually limited to basic spreadsheets |
| Batch size | 8–10 students per batch | Often 25–40 students per batch |
| Data Analytics & Deployment | Live integration, real dashboards | Rarely covered |
| Advanced topics | Advanced SQL, Python, Dashboards, Tableau | Often only theory |
| Automation & Scripts | Automated data pipelines, dashboard alerts | Rarely covered |
| Portfolio | 4-5 documented project deliverables | Often just assignments, not portfolio-ready work |
| Certificate | Completion certificate + documented internship | Only a completion certificate |
| Placement support | Resume, LinkedIn, interview coaching, active placement | Generic referrals, no dedicated coaching |
Every comparison here is about substance, not marketing language.
Before you enrol
Questions we get asked at the admissions desk
Frequently asked questionsIf something here is not covered, the Amritsar desk will answer it directly — no call-back queue.
No. The programme opens at beginner level and assumes no background beyond comfort with a computer. Students who already have some exposure move through the early modules faster and spend the saved time on project work.
