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45 Days Data Analytics & BI Industrial Training

45 Days Data Analytics & Business Intelligence Industrial Training in Chandigarh

Build practical Data Analytics & Business Intelligence skills in Chandigarh with techcadd Chandigarh. This 45-day industrial training pathway takes you beyond lecture notes into SQL queries, Excel models, Power BI and Tableau dashboards and the business questions behind them.

Duration
45 days
For
B.Tech · BCA · MCA · B.Sc IT · Diploma
Track
Data Analytics & Business Intelligence
Whether you study B.Tech, BCA, MCA, B.Sc IT or a related degree, begin with a clear plan: understand the prerequisites, inspect the syllabus, discuss academic documentation and choose work you can explain confidently. Share your degree, semester, preferred schedule and prior experience, and a counsellor will help you check whether the format fits your university timetable.

02 — Overview

What is 45 days Data Analytics & Business Intelligence industrial training?

The purpose of a 45-day industrial training programme is to connect academic concepts with practical work. Good analytics starts with a business question, not a chart. Before building anything you find out who will use the report, what decision it supports, how each metric is defined and where the numbers come from. You practise turning raw tables into a clean, trusted data model, writing SQL that others can check, and designing dashboards that a manager can read in thirty seconds — and you learn to say plainly when the data cannot support a conclusion.

Students in Chandigarh search for data analytics summer training, Power BI training with projects, SQL and Excel training, business intelligence internship, Tableau dashboard training or six-month data analyst industrial training. These describe overlapping but different needs — this page explains the experience in plain language so you can ask the right questions before registering.

03 — Who can apply?

Start from where you are

Admission guidance considers your readiness, not just your degree. A first-year learner may need more guided exercises; a final-year student may be ready for an independent project. Check that your institution permits the format for any compulsory training requirement.

B.Com, BBA and MBA students

Start from the business side you know — sales, finance, operations — and build Excel, SQL and Power BI skills around those questions.

BCA, MCA and B.Tech CSE/IT students

Move quickly through Excel into SQL, data modelling and DAX, with heavier query-optimisation and data-pipeline tasks.

B.Sc, BA Economics and Statistics students

Use your comfort with numbers to focus on SQL, cohort and funnel analysis, and presenting findings to non-technical audiences.

Diploma and polytechnic students

Start with structured Excel practice and visual reporting, then step into SQL and Power BI at a steady pace.

Engineering students from other branches

Work with production, maintenance, quality or project-tracking data from your own field to build operational dashboards.

Working professionals and career changers

Start with a skills check on Excel, then focus on automating the reports you already make by hand with Power Query, SQL and Power BI.

04 — Why 45 days?

A focused summer window

Forty-five days fits a summer break and is a practical length for analytics, because the core toolset is focused: Excel, SQL and one BI tool. You get time to write a lot of SQL, build a proper star-schema model in Power BI and finish one end-to-end dashboard project. The plan prioritises transferable habits — define the metric before you calculate it, check totals against the source, and design for the reader rather than the tool.

Employers and academic reviewers ask students to explain their own contributions. Work you can reproduce, defend and improve is worth more than a long list of tools you have seen once.

05 — Data Analytics & BI specialisations

What the track covers

The goal is to make informed choices — not to reach for the most fashionable tool by default. Availability and depth depend on the programme duration and the published batch syllabus.

Advanced Excel

Lookups, dynamic arrays, PivotTables, Power Query and what-if analysis.

SQL for analysis

Joins, aggregation, CTEs, window functions and data quality checks.

Power BI

Power Query, star-schema modelling, DAX measures and report design.

Tableau

Calculated fields, LOD expressions, parameters and dashboard actions.

KPI and metric design

Clear definitions, targets, owners and the difference between leading and lagging indicators.

Business analysis

Cohort, funnel, retention, variance and contribution analysis.

Data storytelling

Choosing visuals, ordering a narrative and writing executive summaries.

Python for analysts

Pandas for cleaning and automating repetitive reporting steps.

In 45 days, Tableau and Python are introductions; the depth is in Excel, SQL and Power BI modelling with DAX.

06 — Syllabus & learning roadmap

Day-by-day learning roadmap

This is the planned framework for the 45-day Data Analytics & BI track. Trainers adapt lesson order, lab hours, prerequisites and assessments for each batch — ask for your batch's current syllabus.

Assessment emphasises correct numbers, clear metric definitions and readable dashboards, not the number of visuals on a page.

Days 1–8 · Analytics thinking and Excel

  1. 01The analyst's role and framing business questions
  2. 02Excel tables, data types and structured references
  3. 03Formulas with relative and absolute references
  4. 04Logical and text functions: IF, IFS, TEXT and TRIM
  5. 05Lookups with XLOOKUP, INDEX and MATCH
  6. 06Date functions and fiscal calendars
  7. 07PivotTables and PivotCharts
  8. 08Conditional formatting and data validation

Days 9–13 · Data preparation and Excel reporting

  1. 09Data cleaning checklist: duplicates, blanks and inconsistencies
  2. 10Power Query: importing and shaping data
  3. 11Power Query: merges, appends and unpivoting
  4. 12What-if analysis, Goal Seek and scenarios
  5. 13Building an Excel KPI dashboard

Days 14–22 · SQL for analysis

  1. 14Relational databases, tables and keys
  2. 15SELECT, WHERE and ORDER BY
  3. 16Aggregation with GROUP BY and HAVING
  4. 17INNER, LEFT and FULL OUTER joins
  5. 18Subqueries and common table expressions
  6. 19CASE expressions and NULL handling
  7. 20Window functions: ROW_NUMBER, RANK and running totals
  8. 21Date logic and period-over-period queries
  9. 22Views and query documentation

Days 23–27 · Business analysis methods

  1. 23Descriptive statistics for business data
  2. 24Outliers, skew and averages that mislead
  3. 25Correlation versus causation in reports
  4. 26Cohort and retention analysis
  5. 27Funnel and conversion analysis

Days 28–37 · Power BI

  1. 28Power BI Desktop and the report workflow
  2. 29Star-schema data modelling
  3. 30Relationships, cardinality and filter direction
  4. 31DAX calculated columns versus measures
  5. 32DAX CALCULATE and filter context
  6. 33Time intelligence in DAX
  7. 34Choosing the right visual for the question
  8. 35Slicers, drill-through and bookmarks
  9. 36Row-level security concepts
  10. 37Publishing, refresh and sharing considerations

Days 38–41 · Tableau and data storytelling

  1. 38Tableau data sources, dimensions and measures
  2. 39Tableau calculated fields and LOD expressions
  3. 40Tableau dashboards, filters and actions
  4. 41Data storytelling and executive summaries

Days 42–45 · Capstone

  1. 42Capstone requirements gathering and KPI definitions
  2. 43Capstone data model and dashboard build
  3. 44Capstone review, testing and presentation
  4. 45Portfolio, SQL interview practice and reflection

How every day runs

Business question

Each session starts with a short scenario — a sales head, a store manager, an operations lead — and the question they need answered. You write down the metric definition before opening a tool.

Tool lab

Answer the question in Excel, SQL or Power BI, then reconcile your totals against the source data and note any rows you excluded and why.

Review checkpoint

Save your workbook, query file or report with a one-paragraph summary of the answer, the assumption it rests on and one thing the data could not tell you.

07 — Course vs internship

Know what you are signing up for

A course usually follows a planned teaching syllabus and assesses the skills you acquire. An internship ordinarily involves work responsibilities, supervision, defined tasks and feedback in an organisational setting. Both can include projects.

We don't use the word internship to imply employment or client assignments where none exist. Ask us for the actual activity description, supervision model, expected hours and the documents provided.

08 — Internship vs industrial training

Naming varies by institution

Industrial training is a term many technical programmes use for a structured practical learning period. Internship may refer to supervised workplace experience. Neither label alone guarantees university approval.

Share your college's official guidelines, required minimum days, assessment format, attendance expectations and project-report template before enrolling — and we will confirm in writing what we can deliver.

09 — Real-world & portfolio projects

Eight Data Analytics & BI project briefs

Every project follows the analyst's workflow: gather requirements from a hypothetical stakeholder, agree KPI definitions in writing, profile and clean the source data, build a model or SQL layer, reconcile totals, then design the report. Each project is a training exercise on synthetic, licensed or anonymised data, so you learn the process rather than copying a finished template.

You deliver the source files (workbook, SQL scripts or .pbix/.twbx), a KPI dictionary, a data-model diagram, the dashboard itself and a short presentation covering the business question, findings, recommended next step and the limitations of the data.

ProjectWorks fromApproachRisk to discuss
Regional sales performance dashboardRetailSynthetic sales, product and store tablesStar-schema model in Power BI with DAX measures for target versus actualInconsistent product codes and misleading year-on-year comparisons
Hospital bed occupancy reportHealthcareAnonymised admission and discharge recordsSQL window functions for daily occupancy and length of stayPatient privacy and partial-day counting errors
E-commerce funnel and cohort analysisE-commerceSynthetic event logs of views, carts and ordersSQL funnel stages and monthly retention cohorts in TableauBot traffic and attributing drop-off to the wrong cause
College admissions enquiry trackerEducationSynthetic enquiry, follow-up and enrolment recordsExcel Power Query pipeline and PivotTable dashboardDuplicate enquiries and personal contact data
Restaurant chain cost and margin analysisHospitalitySynthetic purchase, menu and sales dataContribution and variance analysis in Excel and Power BIAllocating shared costs and seasonal distortions
Logistics delivery performance scorecardLogisticsSynthetic shipment and delivery timestampsOn-time KPIs, drill-through by route and exception listsAmbiguous KPI definitions and blaming drivers for system delays
HR attrition and headcount dashboardHuman resourcesPublic synthetic HR datasetHeadcount over time, attrition rates and segment comparisonsSensitive personal data and row-level security needs
City public-transport ridership explorerPublic sectorOpen government ridership dataTableau dashboard with LOD expressions and map viewsMissing periods and over-reading small route samples

These are training projects on synthetic, licensed, anonymised or permissioned material. They are never described as client work unless such work genuinely took place under proper supervision.

10 — Admission & learning process

Clear and in writing at every step

Communication stays clear and written, so you and your parents understand the scope before deciding.

  1. 1

    Enquiry

    Share your degree, current semester, contact details and preferred duration.

  2. 2

    Counselling

    Review your objectives, prerequisites and whether you need training or supervised workplace experience.

  3. 3

    Written information

    Receive the syllabus, timing, fees, cancellation terms and deliverables.

  4. 4

    Academic check

    Compare the proposed activities with your college or university requirements.

  5. 5

    Onboarding

    Set up your tools, accounts and learning goals.

  6. 6

    Mentoring and review

    Complete labs, receive feedback and revise your project work.

  7. 7

    Assessment

    Present your result and explain its limitations.

  8. 8

    Closure

    Receive the documentation you have actually qualified for.

11 — University & college requirements

Check your handbook first

Students from Chandigarh, Mohali, Panchkula and nearby Punjab or Haryana campuses face different academic rules. Some departments ask for an NOC, joining letter, attendance log, midterm review, completion certificate, project synopsis, supervisor feedback or a final viva.

Ask us which documents are available for your programme and who signs them. No training provider can promise acceptance by every university, so get written approval from your faculty coordinator before paying. Where college formats differ, documents are prepared to match the agreed programme.

12 — Duration & batches

A 45-day learning window

The learning window is 45 days. Ask for your batch's start date, session hours, holidays, assessment dates, delivery mode and location.

If you travel from Mohali, Panchkula, Zirakpur or other nearby areas, check the exact venue and your commute before you commit.

13 — Fees & eligibility

Everything in writing before you pay

Ask for a current written fee table: whether taxes, lab access, materials, project reviews, retests or documentation cost extra, plus payment deadlines, refund terms and prerequisites.

This is a fee-based training programme — not a free, paid or stipend-based internship.

14 — Career opportunities

Directions the skills can lead

These are illustrative directions, not promises of job eligibility or placement. Study real job descriptions, build evidence of your skills and keep learning after the programme.

Junior data analyst

SQL queries, data cleaning and answering ad hoc business questions.

Business intelligence trainee

Data modelling, DAX measures and maintaining Power BI reports.

MIS executive

Recurring Excel reports, data reconciliation and process tracking.

Reporting analyst

Automating weekly and monthly reports with Power Query and SQL.

Business analyst trainee

Requirements gathering, KPI definitions and presenting findings.

Dashboard developer trainee

Building and testing Power BI or Tableau dashboards for different audiences.

15 — Certifications & deliverables

Know exactly what you receive

Deliverables include your documented project work, a portfolio or repository, a presentation, an evaluation rubric and a training completion record. Ask us for the exact certificate title, issuer, criteria and format.

A completion certificate does not by itself establish employment, a stipend, an approved university internship or a vendor certification.

16 — Why choose techcadd Chandigarh?

Judge us on what you can verify

Look for published learning outcomes, practical lab time, trainer feedback, transparent schedules, clear assessment criteria and student support.

Ask to see curriculum samples, project examples and faculty profiles. That evidence is worth more than any "best institute" claim.

17 — Student success stories

Genuine, permission-based stories only

A useful case study names the student's programme and stage with consent, explains the starting challenge, shows permitted work and describes a specific skill gained — never invented quotes, employers or salaries.

18 — Training locations

Chandigarh, Mohali and Panchkula

Our centre's address is below. Confirm the delivery mode for your batch before you travel or pay.

TechCADD
SCO 118-120, 2nd Floor, Sector 34-A, Near Sector 34 Market
Chandigarh 160022
Contact and directions

Other 45-day tracks

Inside the training

Where the work actually happens

Lab sessions, mentor reviews and project work from our training batches.

Trainer guiding students at their workstations
Trainer guiding students at their workstations
Students building projects on laptops
Students building projects on laptops
Mentors reviewing work in the aircraft-themed lab
Mentors reviewing work in the aircraft-themed lab
Students soldering a robot kit in the robotics lab
Students soldering a robot kit in the robotics lab
Trainer leading a cyber security class
Trainer leading a cyber security class
Trainer running a small-group session at the lab table
Trainer running a small-group session at the lab table

FAQs

Questions we get every week

If yours is not here, call us — counselling is free and there is no obligation to enrol.

All FAQs

It is enough to become comfortable with Excel, core SQL and Power BI and to complete one end-to-end dashboard project. Fluency in advanced DAX and complex SQL comes with further practice.

Yes — it is a common choice. Confirm dates and any required certificate format with your college before enrolling.

Power BI is covered in depth and Tableau as an introduction. The six-month track gives Tableau more time.

Data analytics focuses on describing and explaining what happened using SQL, Excel and BI dashboards, so a business can monitor and act. Data science goes further into statistical inference, experiments and predictive models. Analytics is often the more direct starting point.

Advanced Excel, Power Query, SQL, business analysis methods such as cohorts and funnels, Power BI with DAX, Tableau, data storytelling and a capstone — see the roadmap on this page.

Commerce, management, science, computer and engineering students can all join, as can working professionals. No programming background is required to start.

Basic computer skills and school-level mathematics. If you already use Excel, the early sessions will move faster for you.

You will write SQL, which is a query language rather than general programming, and DAX formulas in Power BI. Python is introduced for automation on the longer track but is not a prerequisite.

Both are widely used. The roadmap goes deeper in Power BI and introduces Tableau so you understand both. Check job listings in your target sector and tell us during counselling if one matters more to you.

Yes. Excel remains the everyday tool for quick analysis and checks, and Power Query in Excel works the same way as in Power BI, so the skills carry over.

Yes. Understanding sales, finance and operations helps you ask better questions. You will need regular practice with SQL and data modelling, and the early weeks are paced for that.

The concepts apply across MySQL, PostgreSQL and SQL Server. Confirm with us which database and BI tool versions are set up for your batch.

No vendor certification is included. If you plan to sit a vendor exam, the syllabus overlaps with many of its topics, but you would register and prepare for it separately.

Dashboards and analyses on synthetic, licensed or anonymised data across sectors — see the eight project briefs on this page. Ask for a sample rubric and anonymised previous work.

Through SQL exercises, Excel and Power BI tasks, peer query reviews, dashboard design critiques, the capstone and its presentation.

It depends on the duration, format and services included. Ask for a written quotation covering taxes, payment terms and refund conditions.

Compare how much SQL and data modelling the syllabus actually covers, trainer experience, project feedback, lab access, batch size and written policies. Ask to see a sample dashboard project.

Institutions use the words differently. A training course teaches structured skills; an internship usually involves supervised work on defined tasks. Ask us for a written description of the actual experience.

Ask us exactly which document is issued. A training completion certificate is different from an employer-issued internship experience letter.

No. Ask what career support is offered, and don't rely on any placement claim without evidence.

It can support planning and implementing a project, but check your university's project requirements and the assistance it permits.

Projects are guided portfolio projects. We only call a project live or client-based when there is genuine, authorised external work.

Confirm the classroom address, delivery mode and trainer availability with us before you travel or pay.

Ask whether online, hybrid or offline formats are offered for your batch.

One is useful for practice. Ask about the lab setup, software requirements and whether a personal device is required.

A term some colleges use for an approved practical training period. Requirements vary by university and programme.

Yes. Consider the commute to the training location shown on this page.

Send an enquiry with your degree, semester, preferred duration, existing skills and contact details, and we'll send a confirmed syllabus and terms.

20 — Apply

Request the Data Analytics & BI syllabus

Considering 45-day industrial training in Data Analytics & Business Intelligence in Chandigarh? Request the latest syllabus and compare it with your semester requirements. Share your degree, college or university, current semester, preferred batch, existing skills and project interests.

Ask about upcoming batches

A counsellor will review your degree and timeline before sharing current programme details.

No registration fee. We will never share your number.

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