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Data & AI

Data Analytics

SQL, Python and dashboards that a business will actually act on.

Five months turning raw data into decisions: statistics you genuinely use, SQL you can be tested on, and dashboards built to answer a specific business question rather than to look busy.

4.9 from 156 student reviews
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Data Analytics training at TechCadd
Certificate on completion
Category
Data & AI
Level
Beginner to Advanced
Duration
5 Months
Mode
Online / Offline
Data Analytics introductionIntroduction video coming soon
Watch

Watch Course Introduction

The analytics workflow, from raw table to reported insight.

A short walkthrough of the syllabus, the projects you will build and how the batches are run — worth five minutes before you enrol.

Audience

Who can do this course?

The programme is built to work for people arriving from very different starting points.

  • Beginners

    No prior experience needed — the first modules start from fundamentals.

  • College students

    Fits alongside a degree, with weekend and evening batches covering the same syllabus.

  • Working professionals

    Weekend batches and 1-on-1 mentoring for people training without taking leave.

  • Career switchers

    A structured route in from another field, with guidance on how to position the move.

  • Entrepreneurs

    Enough hands-on depth to build, brief or evaluate the work yourself.

Why this program

Why choose this program?

Six things that separate a programme you finish from one you benefit from.

  • 01

    Industry-oriented curriculum

    Built backwards from live job descriptions and rewritten as the stack moves.

  • 02

    Hands-on from day one

    You spend more time building than watching. Every concept lands in working code.

  • 03

    Mentor guidance

    Small batches, direct access to your trainer, and reviews on the work you produce.

  • 04

    Real-world tools

    The same editors, version control and deployment tooling teams use in production.

  • 05

    Interview preparation

    Mock rounds, portfolio review and the questions this particular role gets asked.

  • 06

    Career-focused outcome

    The programme ends with work you can show and a plan for the roles you are targeting.

Curriculum

Course modules

6 modules, 76 sessions — sequenced so each one builds on what you just shipped.

  • 6 Modules
  • 5 Months
  • Beginner to Advanced
  • Certificate Included
  1. Beginner
  2. 6 Modules
  3. Advanced
  4. Projects
  5. Certification

  1. What this module covers

    • Pivot tables
    • Lookup functions
    • Data hygiene
    • Framing an analysis
    8 sessions
Outcomes

What you will learn

Concrete capabilities, not topics covered. Each one is demonstrated in work you keep.

  • Write SQL against a real schema with confidence
  • Clean and reshape messy data in Pandas
  • Choose the right chart for the question
  • Run and interpret a basic experiment
  • Build dashboards in Power BI and Tableau
  • Present findings so a decision follows
Toolchain

Tools & technologies you'll learn

The same tooling the teams hiring for this role use every day.

  • SQL
  • MySQL
  • Python
  • Pandas
  • NumPy
  • Power BI
  • Tableau
  • Excel
  • Git
  • Jupyter
After the course

Career outcomes

After completing Data Analytics, these are the directions students most often take. Outcomes depend on your own work and the market — we do not promise placements or salaries.

Job roles to target

  • Data Analyst
  • Business Analyst
  • BI Developer
  • Reporting Analyst
  • Analytics Consultant

Where the work is

  • Analytics teams
  • Operations and finance reporting
  • Freelance dashboard work
  • Consulting

Where to go next

  • Machine learning foundations
  • Data engineering basics
  • Advanced statistics
  • Cloud data platforms

Industry applications

  • Retail & e-commerce
  • Finance
  • Healthcare
  • Logistics
Practice

Hands-on projects

Every module ends in built work. These are the pieces you finish the programme holding.

  • Sales analytics dashboard

    Sales analytics dashboard

    Intermediate

    Revenue, cohorts and regional performance in one publishable dashboard.

    • SQL
    • Power BI

    Skills practised: Data modelling, Visual design, DAX

  • Customer churn analysis

    Customer churn analysis

    Advanced

    Find who leaves, when, and which signals precede it.

    • Python
    • Pandas
    • SQL

    Skills practised: Feature analysis, Segmentation, Reporting

  • Pricing experiment review

    Pricing experiment review

    Intermediate

    Read an A/B test properly and say what it does and does not prove.

    • Python
    • Statistics

    Skills practised: Hypothesis testing, Interpretation, Communication

Explore Projects
A TechCadd trainer running a session
1000+Students TrainedLive ProjectsPlacement Support
  • 0+Happy Students
  • 0+Industry Projects
  • 0%Practical Training
  • YesIndustry Experts
Teaching

Why learn with us?

Every trainer here still ships production code. That is the whole basis of the teaching: answers come from current practice rather than from a slide deck written three years ago.

  • Practitioners, not presenters

    Sessions are run by engineers working on live systems, so the examples come from real codebases.

  • Project-based from week one

    You build as you learn. Each module ends in something that runs, not in a quiz.

  • Personalised guidance

    Small batches mean your mentor knows what you are stuck on and what you are aiming at.

  • Doubt support that continues

    Doubt sessions and mentor hours carry on after the certificate is printed.

Student voices

What students say

Reviews from people who completed Data Analytics.

  • “The SQL and statistics modules were relentless, and that is exactly why the interview felt easy.”
    SKSimranjeet KaurData Analyst · Data Analytics
  • “Being made to present the capstone to a room changed how I build dashboards. I design for the decision now.”
    DCDeepak ChauhanBI Developer · Data Analytics
Questions

Frequently asked questions

The questions counsellors are asked most about Data Analytics.

  • Yes. It starts with Excel and analytical framing before SQL, so no prior coding is assumed.

Course enquiry

Ask About Data Analytics

Send your question and a counsellor will call you back. No obligation to enrol.

  • Live Project Training
  • Internship Certificate
  • Placement Assistance
  • Industry Mentors
  • Interview Preparation
  • Online + Offline Mode

5 Months · Online / Offline

  • 100% Free Counselling
  • No Spam Calls
  • Career Guidance Included

We use your number only to answer this enquiry.

Ready to start your learning journey?

Build practical skills, work on real projects and take the next step towards your career.

Enroll in Data AnalyticsTalk to an Expert
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