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 Career TrackHigh-Demand
Complete Data Analytics Career Track Course – Zero to Job Ready with Real Projects & Placement Support
Data Analytics Career Track Course course in AmritsarJob-oriented data analytics training built on real business data — small batches, daily hands-on labs, and 100% placement assistance.
3 / 6 MonthsBeginnerHybrid
3 / 6 Months
Duration
Weekday/Weekend
Mode
12th Pass/Any Grad
Eligibility
10-12 Students
Batch Size
Admissions open
Data Analytics Career Track Course · 3 / 6 Months
Batch timings
- Morning
- Evening
- Weekend
- Live online
About the programme
Course overview
Course overviewtechcadd's Complete Data Analytics Career Track Course is a practical, project-first introduction to data analytics for beginners and career switchers.
It opens with Excel fundamentals, SQL querying, data cleaning, and statistical foundations, then moves into Python for data analytics, Pandas, NumPy, data visualisation, Power BI, Tableau, exploratory data analysis, machine learning basics, and dashboard development on real datasets.
You finish with a documented data analytics portfolio, a capstone project, CV preparation, and interview coaching.
Every organisation today — from agile startups to global enterprises — is generating data at an unprecedented rate. Customer transactions, sales records, marketing metrics, operational logs, and user behaviour data accumulate faster than teams can process them. The challenge isn't data collection; it's extracting meaningful insights. Data analytics is the discipline that transforms raw, messy, unstructured data into actionable intelligence: dashboards that reveal business performance, SQL queries that extract insights from millions of records, statistical models that forecast trends, machine learning algorithms that predict customer churn, and visualisations that communicate findings to stakeholders. Companies urgently need professionals who can clean and transform data, build dashboards and reports, write complex SQL queries, perform statistical analysis, apply machine learning models, and communicate data-driven insights to decision-makers. The real skill isn't memorising formulas — it's building data analytics systems that work on real, messy, business-critical data.
techcadd's Data Analytics Career Track Course is built on the tools and platforms you actually see in job descriptions and business intelligence briefs — Excel, SQL, Python, Pandas, NumPy, Power BI, Tableau, scikit-learn, Matplotlib, Seaborn, and more — not abstract theory. You work with real datasets, real business problems, and real data analytics pipelines from the very first module and finish with a documented data analytics portfolio, not just a certificate. The programme runs in a 3-month foundation track, with an optional 6-month extended track for deeper mastery. Batches are capped at 10–12 students, and every project you build is reviewed weekly by mentors who still work on live data analytics systems and production dashboards.
Placement assistanceLive data analytics labsInternship certificate
- Duration
- 3 / 6 Months
- Level
- Beginner
- Mode
- Hybrid
- Batches
- Morning, evening & weekend
Module by module
The curriculum, module by module
Module by module curriculumThe Complete Data Analytics Career Track Course is a nested ladder — the longer track includes every module from the shorter track and adds more depth. No module is repeated; you continue building on the skills you have already learned.
- Module 01 of 06
Excel, SQL & Data Fundamentals
The foundational knowledge every Data Analyst assumes you already know — how to query, clean, and prepare raw data for analysis.
Topics covered
- Excel formulas
- pivot tables
- data cleaning
- SQL queries
- joins
- aggregations
- filtering
- data normalisation
- basic statistics
Tools in this module
ExcelSQLMySQL/PostgreSQLGoogle SheetsJupyterYou finish withA documented SQL and Excel analysis on a real business dataset
- Module 02 of 06
Python for Data Analytics, Visualisation & Exploratory Analysis
Core data analytics programming — building Python scripts that clean, analyse, and visualise real business data.
Topics covered
- Python programming
- Pandas
- NumPy
- data wrangling
- Matplotlib
- Seaborn
- exploratory data analysis
- statistical summaries
- data visualisation
Tools in this module
PythonPandasNumPyMatplotlibSeabornJupyterGoogle ColabYou finish withAn end-to-end Python data analytics pipeline with visualisations deployed on a real dataset
- Module 03 of 06
Capstone Project, Career & Interview Readiness
A capstone project combining SQL, Python, visualisation, and business insights, plus career readiness for data analytics roles.
Topics covered
- End-to-end data analytics project
- problem framing
- dashboard design
- portfolio development
- resume
- LinkedIn profile
- interview readiness
- data analytics certification exam preparation
Tools in this module
PythonPower BI/TableauGitHubPortfolioResumeLinkedInMock interviewsYou finish withA complete capstone project with documentation, and an interview-ready data analytics portfolio and resume
- Module 04 of 06
Advanced SQL, Power BI & Tableau for Business Intelligence
Advanced data analytics and business intelligence — building interactive dashboards and reports that drive business decisions.
Topics covered
- Advanced SQL
- window functions
- CTEs
- Power BI
- Tableau
- dashboard design
- DAX
- data modelling
- KPI reporting
- business intelligence
Tools in this module
SQLPower BITableauExcelGoogle Data StudioYou finish withA fully interactive Power BI and Tableau dashboard for a real business scenario
- Module 05 of 06
Machine Learning for Data Analytics & Predictive Modelling
Machine learning for data analytics — building predictive models and applying them to real business problems.
Topics covered
- Machine learning basics
- regression
- classification
- clustering
- scikit-learn
- model evaluation
- feature engineering
- predictive analytics
- forecasting
Tools in this module
scikit-learnPandasNumPyMatplotlibSeabornJupyterYou finish withA predictive data analytics model with documentation and business recommendations
- Module 06 of 06
Advanced Capstone, Career & Interview Readiness
An advanced capstone project combining SQL, Python, Power BI, Tableau, machine learning, and business impact, plus career readiness for senior data analytics roles.
Topics covered
- Full data analytics project lifecycle
- problem framing
- data analytics strategy
- dashboard deployment
- portfolio development
- resume
- LinkedIn profile
- interview readiness
- data analytics certification exam preparation
Tools in this module
GitHubPortfolioResumeLinkedInMock interviewsCase studiesYou finish withA complete advanced capstone project with documentation, and an interview-ready data analytics portfolio and resume
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.
Customer Churn Prediction
Create a machine learning model that predicts customer churn using Python, Pandas, and scikit-learn.
- Machine Learning
- Python
- scikit-learn
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
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
Industry-focused curriculum
You learn it the way professional data analytics teams use it, with the workflow and standards a Data Analyst expects.
Sales Dashboard with Power BI
- 02
Real datasets and projects
Every module runs on real business datasets with real questions and real outcomes, not a slide or a screenshot.
Customer Churn Prediction
- 03
Mentor-reviewed deliverables
Each module ends with a working data analytics dashboard reviewed weekly by a mentor who still works on live data analytics problems.
SQL Data Analysis Project
- 04
Real projects and scenarios from the start
Every dashboard and analysis is built on real-world business briefs and measured through accuracy, business impact, and stakeholder communication, the way data analytics teams work.
Expert Capstone Project
The honest pitch
Your months should build more than a certificate.
Your months should build more than a certificate.A course is worth the time you give it only if you finish with real data analytics dashboards 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 Career Track Course
Why students choose techcadd
Why students choose techcaddWhat makes this course at techcadd different from a typical alternative is that every module is built on a real data analytics project and documented to professional standards, so you finish with an end-to-end data analytics portfolio rather than 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
10–12 students per batch ensures every student gets personalised feedback on every deliverable.
- 04
Nested, no-repeat curriculum
Longer programs include everything from shorter tracks and add 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 Career Track Course course
Who can join the Data Analytics Career Track Course courseThis course works for a specific starting point — here's who gets the most out of it.
- 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 3 / 6 months.
- 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 3 / 6 months, 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 Career Track Course
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.
19tools covered
Spreadsheet software
- Excel
Query language
- SQL
Database
- MySQL
- PostgreSQL
Programming language
- Python
Data manipulation
- Pandas
Numerical computing
- NumPy
Data visualization
- Matplotlib
- Tableau
Statistical visualization
- Seaborn
Interactive visualization
- Plotly
Business intelligence
- Power BI
Dashboarding
- Google Data Studio
Machine learning
- scikit-learn
Notebook environment
- Jupyter
Cloud notebooks
- Google Colab
Version control
- Git
Code hosting
- GitHub
Code editor
- VS Code
Certification
Get certified in Data Analytics Career Track Course
Get certified in Data Analytics Career Track CourseIssued 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 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 | Excel, SQL, Python, Power BI, Tableau | Usually limited to basic spreadsheets |
| Batch size | 10–12 students per batch | Often 25–40 students per batch |
| Data Analytics & Deployment | Live integration, real dashboards | Rarely covered |
| Advanced topics | Machine Learning, Predictive Analytics, Dashboards | Often only theory |
| Automation & Scripts | Automated data pipelines, dashboard alerts | Rarely covered |
| Portfolio | 6 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.
