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Data Analytics Essentials CourseBuild Your Analytics

Complete Data Analytics Essentials Course – Master Core Tools and Build a Job-Ready Portfolio

Data Analytics Essentials Course course in Amritsar
Intensive, hands-on data analytics training focused on real business data — small batches, daily labs, and placement assistance to get you job-ready.
6 WeeksIntermediateHybrid
  • 6 Weeks

    Duration

  • Weekday/Weekend

    Mode

  • 12th Pass/Any Grad

    Eligibility

  • 8-10 Students

    Batch Size

Admissions open

Data Analytics Essentials Course · 6 Weeks

Batch timings

  • Morning
  • Evening
  • Weekend
  • Live online
About the programme

Course overview

Course overview

techcadd's Data Analytics Essentials Course is a practical, project-based program for beginners and professionals who need to acquire core data analytics skills quickly and effectively.

It focuses on the essentials: Excel for analysis, SQL for querying data, and Power BI for data visualization. You learn to build dashboards and reports on real datasets from day one.

You finish with a portfolio of 2-3 completed projects, a capstone project, and the interview-readiness to land your first Data Analyst role or advance your current career.

In today's data-driven 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 visualizations 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 Essentials Course is a practical, structured program built on the essential tools you see in every Data Analyst job description—Excel, SQL, and Power BI. 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 focused upskilling, delivered in an intensive 6-week format with small batches of 8-10 students and daily mentor-led labs.

Placement assistanceLive data analytics labsInternship certificate
Inside the Amritsar lab — a walkthrough of the data analytics essentials course track.
Duration
6 Weeks
Level
Intermediate
Mode
Hybrid
Batches
Morning, evening & weekend
Module by module

The curriculum, module by module

Module by module curriculum
The Data Analytics Essentials Course is a focused program covering the core tools every Data Analyst needs. You build skills progressively, with each module adding depth to your data analytics capabilities.
  1. Module 01 of 02

    Excel, SQL & Data Fundamentals

    The foundational knowledge every Data Analyst needs — how to query, clean, and prepare raw data for analysis.

    Topics covered

    • Excel formulas
    • pivot tables
    • data cleaning
    • SQL queries
    • joins
    • aggregations
    • filtering

    Tools in this module

    ExcelSQLMySQLGoogle Sheets
    You finish with

    A documented SQL and Excel analysis on a real business dataset

  2. Module 02 of 02

    Data Visualisation & Power BI Capstone

    Building interactive dashboards and reports that drive business decisions, plus career readiness for data analytics roles.

    Topics covered

    • Power BI
    • dashboard design
    • data visualisation
    • KPI reporting
    • problem framing
    • portfolio development
    • resume preparation
    • interview readiness

    Tools in this module

    Power BIExcelGitHubPortfolioResume
    You finish with

    A complete capstone project with an interactive Power BI dashboard, and an interview-ready portfolio

What you build

Projects that answer the interview question for you

Portfolio projects
Each project is reviewed individually, and the review notes go into your portfolio documentation.
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
02

SQL Data Analysis Project

Analyse a real business dataset using SQL queries, joins, and aggregations to extract actionable insights.

  • SQL
  • Data Analysis
  • Business Intelligence
03

Expert Capstone Project

Complete an end-to-end data analytics project with data cleaning, SQL analysis, Power BI 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.

  1. 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

  2. 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

  3. 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.

    Expert Capstone Project

  4. 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.

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.

Sample project completion certificate

Project completion certificate

Issued for the project you build and defend

Sample course completion certificate

Course completion certificate

Carries a certificate ID and a scan-to-verify code

Why choose Data Analytics Essentials Course

Why students choose techcadd

Why students choose techcadd

What 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 02.

  • 03

    Small batch sizes

    8–10 students per batch ensures every student gets personalised feedback on every deliverable.

  • 04

    Focused, no-fluff curriculum

    The essentials program covers exactly what you need for entry-level data analytics roles — no filler, no repetition.

  • 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 Essentials Course course

Who can join the Data Analytics Essentials Course course

This 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 intermediate level and builds from there across 6 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 6 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 Essentials Course

    Tools and technologies covered

    Every 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.

    7tools covered

    Spreadsheet software
    • Excel
    Query language
    • SQL
    Business intelligence
    • Power BI
    Version control
    • Git
    Code hosting
    • GitHub
    Certification

    Get certified in Data Analytics Essentials Course

    Get certified in Data Analytics Essentials Course

    Issued 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 years

    The 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, 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.
    What you walk away with

    The objective is practical, job-ready knowledge rather than memorised concepts.

    Due diligence

    How techcadd compares

    How techcadd compares

    What actually differs between this course at techcadd and a typical alternative.

    techcadd Amritsar compared with a typical training institute in the region
    What you should asktechcadd AmritsarOther institutes
    Live project workEvery module, from week oneVaries, often only at the end
    Learning formatOne project extended through every moduleTopics demonstrated separately, rarely combined
    Tools usedExcel, SQL, Power BIUsually limited to basic spreadsheets
    Batch size8–10 students per batchOften 25–40 students per batch
    Data Analytics & DeploymentLive integration, real dashboardsRarely covered
    Advanced topicsAdvanced SQL, Power BI DashboardsOften only theory
    Automation & ScriptsAutomated data pipelines, dashboard alertsRarely covered
    Portfolio2-3 documented project deliverablesOften just assignments, not portfolio-ready work
    CertificateCompletion certificate + documented internshipOnly a completion certificate
    Placement supportResume, LinkedIn, interview coaching, active placementGeneric 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 questions

    If something here is not covered, the Amritsar desk will answer it directly — no call-back queue.

    • No. The programme opens at intermediate 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.

    Book a free demo class and see the lab before you decide.

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