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Linkskill Academy Data Analytics + Business Analytics Combo Program — Excel, SQL, Python, Power BI, requirements, Agile, Jira and stakeholder skills. Diwali offer.
Data & Business Track · Combo

Data Analytics + Business Analytics Combo

★★★★★ 4.9 · 500+ students trained

The only program in Salem that teaches you to crunch data AND turn it into business decisions. 90 days covering Excel, SQL, Python, statistics, Power BI, requirements analysis, process modelling, Agile/Jira and UAT — skills that command ₹12–20 LPA mid-career. 60 live sessions, every one recorded, with a free internship.

🪔 Diwali Registrations Open — Free 4g Silver Coin
₹25,000 ₹40,000 Save ₹15,000 + FREE 4g silver coin + FREE internship
Duration90 Days · 120 Hrs
Sessions60 Live · Recorded
ModeOnline · Offline · Hybrid
InternshipFREE
OfferDiwali 2026
90 Days
120 Guided Hours
60
Live Sessions · Recorded
FREE
Internship Included
₹25,000
Diwali Offer (was ₹40,000)
Weekday
M T W T F S S
Weekend
M T W T F S S
Starts Diwali 2026 Batch
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About the 90-Day DA + BA Program

A practical, portfolio-led program for learners who want both the technical ability to analyse data and the business ability to define, validate and communicate solutions. You practise turning a business question into reliable data, analysis, requirements, a tested solution and a clear recommendation.

90calendar days
60live guided sessions (2 hrs each)
120guided learning hours
6final portfolio days

Core areas: Excel, Power Query, SQL, Python, statistics, Power BI, BA fundamentals, elicitation, BPMN/UML, Agile/Jira, software testing and UAT. Every class follows the same rhythm: instructor explanation → guided demonstration → hands-on lab → discussion → take-home practice task.

🪔 Diwali offer: ₹25,000 ₹40,000 + FREE 4-gram silver coin + FREE internship. Every session is recorded and shared. Claim your seat →

What You Will Be Able to Do

  • Clean, transform, validate and analyse business data using Excel, SQL and Python.
  • Design a well-structured Power BI model and build interactive KPI dashboards.
  • Elicit stakeholder needs and document scope, requirements, user stories and acceptance criteria.
  • Model processes with AS-IS/TO-BE maps, BPMN and selected UML diagrams.
  • Work with Agile concepts and a Jira backlog; support solution assessment, test planning and UAT.
  • Present evidence-based recommendations to technical and non-technical stakeholders.

90-Day Syllabus — Session by Session

60 guided sessions plus 6 portfolio days. Each session ends with a piece of evidence for your portfolio. Get the full syllabus PDF on WhatsApp →

Phase 1 · Days 1–70 · Foundations
01

Week 1 · Days 1–7: Orientation, analytics foundations & Excel basics

5 sessions · 10 hrs
  • S01 Program orientation; Data Analytics vs Business Analysis; analyst roles and career pathwaysDeliverable: Role map and personal learning goals
  • S02 Business questions, data-to-decision workflow, data types, structured vs unstructured dataDeliverable: Question-to-metric worksheet
  • S03 Excel workspace, workbook hygiene, tables, data types, sorting and filteringDeliverable: Cleanly structured starter dataset
  • S04 Core formulas: relative/absolute references, IF, AND/OR, text and date functionsDeliverable: Formula practice sheet
  • S05 BA foundations: project vs product organisations, BA responsibilities, SDLC overviewDeliverable: Project context and role map
02

Week 2 · Days 8–14: Excel analysis & stakeholder discovery

5 sessions · 10 hrs
  • S06 Lookups and conditional aggregation: XLOOKUP, SUMIFS, COUNTIFS, error handlingDeliverable: Reconciliation exercise
  • S07 PivotTables, grouping, calculated fields, slicers, conditional formatting and chartsDeliverable: Interactive Excel analysis
  • S08 KPI selection, dashboard layout, chart choice, business narrative and Copilot/AI promptsDeliverable: One-page Excel KPI dashboard
  • S09 Stakeholder analysis: identify stakeholders, influence/interest, engagement and RASCI matrixDeliverable: Stakeholder register and RASCI
  • S10 Elicitation: interviews, workshops, surveys, observation and JAD; question design and notesDeliverable: Interview guide and elicitation notes
03

Week 3 · Days 15–21: Power Query & requirements documentation

5 sessions · 10 hrs
  • S11 Power Query: connect/import, data profiling, types, rename, remove columns/rowsDeliverable: Repeatable cleaned query
  • S12 Power Query transformations: split/merge, replace values, nulls, duplicates, append and mergeDeliverable: Reproducible ETL workflow
  • S13 Requirement types: business, stakeholder, functional, non-functional, transition and constraintsDeliverable: Requirements classification sheet
  • S14 BRD and FRD: purpose, scope, assumptions, business rules, functional detail and sign-offDeliverable: BRD outline and sample requirement
  • S15 Prioritisation: MoSCoW, Kano, value-effort; traceability and requirement reviewDeliverable: Prioritised requirement list and RTM
04

Week 4 · Days 22–28: Relational databases & SQL fundamentals

5 sessions · 10 hrs
  • S16 Database concepts, tables, keys, relationships, normalisation concepts and SQL environmentDeliverable: Simple relational schema
  • S17 SELECT, aliases, DISTINCT, WHERE, comparison/logical operators, NULL handlingDeliverable: Business question query set
  • S18 ORDER BY, LIMIT/TOP, CASE expressions, text/date/numeric functionsDeliverable: Filtered customer/order report
  • S19 Aggregate functions, GROUP BY and HAVING; KPI calculations and validationDeliverable: Sales and operations KPI queries
  • S20 Join concepts and INNER/LEFT/RIGHT/FULL joins; matching business tablesDeliverable: Joined order-customer-product result
05

Week 5 · Days 29–35: SQL for analysis & process modelling

5 sessions · 10 hrs
  • S21 Multi-table joins, keys, duplicates, unmatched rows and data quality checksDeliverable: Join validation checklist
  • S22 Subqueries, CTEs, set operations and reusable query structureDeliverable: Readable multi-step analysis
  • S23 Window functions: ROW_NUMBER, RANK, LAG/LEAD; partitioning and business use casesDeliverable: Top-N and period comparison queries
  • S24 Views and stored procedure concepts; SQL documentation and safe query practicesDeliverable: Reusable reporting view/query
  • S25 BA process analysis: scope, business need, current state and problem statementDeliverable: Problem statement and AS-IS outline
06

Week 6 · Days 36–42: Python foundations & process modelling

5 sessions · 10 hrs
  • S26 Python setup in Colab/Jupyter; variables, types, input/output and operatorsDeliverable: Notebook with introductory exercises
  • S27 Conditions, loops, lists, tuples, sets, dictionaries and practical data structuresDeliverable: Small data processing exercises
  • S28 Functions, parameters, modules, exceptions and readable code habitsDeliverable: Reusable analysis functions
  • S29 AS-IS/TO-BE mapping, BPMN basics: pools, lanes, events, tasks and gatewaysDeliverable: Current and proposed process maps
  • S30 UML and visual modelling: use case, activity, sequence and collaboration diagramsDeliverable: Use-case and sequence diagrams
07

Week 7 · Days 43–49: Python analysis, Agile & Jira

5 sessions · 10 hrs
  • S31 NumPy arrays, shapes, vectorised operations and basic numerical summariesDeliverable: NumPy analysis notebook
  • S32 Pandas Series/DataFrames, import/export, selection, filtering and sortingDeliverable: Exploration notebook
  • S33 Pandas cleaning: missing values, duplicates, types, inconsistent labels and outliersDeliverable: Documented data-cleaning log
  • S34 Pandas groupby, merge/join, reshape, derived columns and EDA workflowDeliverable: Grouped and merged dataset
  • S35 Agile vs Waterfall vs V-model; Scrum roles, events, artefacts and BA contributionDeliverable: Agile delivery map
08

Week 8 · Days 50–56: Statistics, visualisation & Agile delivery

5 sessions · 10 hrs
  • S36 Descriptive statistics, distributions, sampling, variability and responsible interpretationDeliverable: Statistics summary with plain-language meaning
  • S37 Correlation, trend analysis, simple regression concepts, A/B tests and hypothesis basicsDeliverable: Evidence-based recommendation
  • S38 Matplotlib/Seaborn charts, visual encoding, chart critique and storytellingDeliverable: Exploratory visual report
  • S39 User stories, epics, acceptance criteria (Given-When-Then), DoR/DoD and story splittingDeliverable: Backlog slice with acceptance criteria
  • S40 Jira basics: issues, backlog, sprint planning, boards, burndown and retrospectiveDeliverable: Configured sample sprint board
09

Week 9 · Days 57–63: Power BI modelling & UX

5 sessions · 10 hrs
  • S41 Power BI workflow; connect/import; Power Query cleanup and shapingDeliverable: Clean Power BI model input
  • S42 Data modelling: fact/dimension tables, star schema, cardinality and relationshipsDeliverable: Star schema model
  • S43 DAX foundations: measures vs calculated columns, CALCULATE, filter context and core KPIsDeliverable: Measures for business questions
  • S44 Time intelligence, date tables, comparisons, targets and variance measuresDeliverable: Time-based performance measures
  • S45 Dashboard design: visual hierarchy, slicers, drill-through, bookmarks and accessibilityDeliverable: Interactive report prototype
10

Week 10 · Days 64–70: Reporting, testing & solution assessment

5 sessions · 10 hrs
  • S46 Power BI Service concepts: publish, workspaces, sharing, refresh and row-level securityDeliverable: Published/report-ready dashboard
  • S47 Executive reporting: insight statements, KPI trees, OKRs and recommendationsDeliverable: One-page executive insight brief
  • S48 UX for analysts: personas, user journeys, empathy maps and low-fidelity wireframesDeliverable: Wireframe and user journey
  • S49 Software testing: purpose, STLC, test levels/types and BA role in validationDeliverable: Test approach and role checklist
  • S50 Test scenarios/cases, expected results, defect basics, UAT planning and acceptanceDeliverable: UAT plan and test cases
Phase 2 · Days 71–84 · Capstone
11

Week 11 · Days 71–77: Integrated capstone build

5 sessions · 10 hrs
  • S51 Capstone kickoff: define business problem, objectives, scope, success measures and stakeholdersDeliverable: Approved capstone charter
  • S52 E-commerce/retail case: elicit needs, map AS-IS/TO-BE, identify gaps and root causesDeliverable: Process maps, gap analysis and cause notes
  • S53 Build BRD/FRD, business rules, user stories, acceptance criteria and RTMDeliverable: Requirements pack v1
  • S54 Prepare data: Excel/Power Query cleaning; SQL validation, joins and KPI query designDeliverable: Reproducible data pipeline and SQL pack
  • S55 Python EDA and statistical checks; convert findings into a prioritised business hypothesisDeliverable: EDA notebook and insight backlog
12

Week 12 · Days 78–84: Capstone integration & review

5 sessions · 10 hrs
  • S56 Build Power BI model, measures and first dashboard; review KPI alignmentDeliverable: Dashboard draft with model
  • S57 Complete dashboard interactions and create a stakeholder-ready narrativeDeliverable: Dashboard v2 and insight report
  • S58 Agile delivery pack: Jira backlog, sprint plan, risks, dependencies and change impactsDeliverable: Jira board and delivery notes
  • S59 Solution assessment: review test strategy, test cases, traceability and UAT evidenceDeliverable: Quality and UAT evidence pack
  • S60 Peer review and iteration: requirement quality, data logic, visuals, usability and accuracyDeliverable: Revised capstone and review log
Phase 3 · Days 85–90 · Portfolio
13

Days 85–90: Final presentation, portfolio & career readiness

6 portfolio days
  • Day 85 Finalise project documentation, clean notebooks/queries and organise portfolio filesDeliverable: Complete portfolio folder
  • Day 86 Finalise BRD/FRD, process diagrams, user stories, RTM and UAT evidenceDeliverable: BA documentation pack
  • Day 87 Finalise dashboard, SQL scripts, Python notebook and executive recommendationDeliverable: DA evidence pack
  • Day 88 Capstone presentation and stakeholder Q&A simulationDeliverable: Recorded/assessed presentation
  • Day 89 Resume and LinkedIn portfolio alignment; DA/BA interview questions and case practiceDeliverable: Role-focused resume and profile
  • Day 90 Final assessment, reflection, learning plan and next-step interview preparationDeliverable: Capstone assessment and action plan

Portfolio Projects You Will Build

Excel & Power QueryCleaned source data, transformation steps, KPI analysis and a compact dashboard.
SQLDocumented query pack for data validation, joins, KPIs, ranking and period comparisons.
PythonReadable notebook showing cleaning, EDA, visualisation and evidence-based findings.
Power BIDimensional model, DAX measures, interactive report and an executive summary.
Business analysisProject charter, stakeholder register/RASCI, BRD/FRD, AS-IS/TO-BE and BPMN/UML diagrams.
Agile delivery & validationJira backlog, user stories, acceptance criteria, RTM, test cases and UAT plan/evidence.
Final presentationBusiness problem, approach, findings, recommendation, risks, limitations and next steps.

Capstone case study — choose one

CaseBusiness questionBA + DA outputs
Retail / e-commerceWhere are sales, margin or conversion changing, and what should the business improve?Requirements pack, customer/order analysis, KPI dashboard, process map and recommendation.
Banking / CRMWhich customer segments need attention, and how can service or retention improve?Stakeholder analysis, SQL reporting, dashboard, user stories, test cases and UAT.
Healthcare service appHow can a user journey or operational workflow be improved safely and measurably?Journey map, process model, wireframe, backlog, acceptance criteria and success KPIs.

Assessment checkpoints

WhenEvidence
Week 2Excel analysis task + stakeholder/elicitation exercise
Week 4SQL fundamentals practical
Week 6Requirements pack + process/UML modelling review
Week 8Python EDA notebook + Agile/Jira exercise
Week 10Power BI dashboard + test/UAT plan
Weeks 12–13Integrated capstone, presentation and interview-style Q&A

Capstone rubric: problem understanding 15% · data quality & analytical logic 20% · requirements & process artefacts 20% · dashboard & communication 20% · testing/traceability 15% · presentation & reflection 10%.

Job Roles After This Program

Data Analyst Business Analyst BI Analyst MIS Analyst Reporting Analyst Power BI Developer Product Analyst Operations Analyst Junior Business Systems Analyst UAT / QA Analyst

Tools & Technologies

Analytics

ExcelPower QuerySQL Server (SSMS)PythonJupyter / Google ColabNumPyPandasMatplotlibSeaborn

Business Intelligence

Power BI DesktopPower BI ServiceDAX

Business Analysis

JiraConfluencedraw.io / Bizagi (BPMN)UML diagrammingFigma / Balsamiq

Productivity & AI

ChatGPTMicrosoft Copilot

What's Included

🎥
60 Live Interactive Sessions
📹
Every Session Recorded & Shared
💼
FREE Internship
🪙
FREE 4g Silver Coin (Diwali)
🧩
Integrated DA + BA Capstone
🏆
Dual-Track Certificate
🚀
Placement Support
🎯
Mock Interviews & Case Practice
💳
Easy EMI Options
📹 Recordings, alwaysEvery live session is recorded and shared with you, so you can revise any topic or catch up on a class you missed.
💼 Free internshipIncluded with your DA + BA enrolment — work on a live project with mentor guidance after your training and add it to your resume and LinkedIn.

Try Our Teaching First

Not ready to commit? Start with one of our short Power BI or SQL programs, taught by the same team.

Reviews from Our Learners

Google Reviews
★★★★★

Hear it straight from our learners — read honest reviews of Linkskill Academy on Google, or share your own experience.

🎓

Dual-Track Certificate

Complete the 90-day program and the integrated capstone to receive the Linkskill Academy Data Analytics + Business Analytics certificate, issued by Linkskill Academy Pvt. Ltd. Your portfolio — dashboard, SQL pack, Python notebook, BRD/FRD, process maps and UAT evidence — is the proof you carry into interviews.

12 Questions to Ask Before You Enrol — Answered

Before joining any Data Analytics + Business Analytics Combo course in Salem or online, ask these 12 questions. Here are Linkskill Academy's straight answers.

1Does the Data Analytics + Business Analytics Combo course cover Excel, SQL, Power BI or Tableau, Python and statistics? Can I get the full module list in writing?

Yes. The 90-day syllabus covers Excel and Power Query, SQL (joins, CTEs, window functions), Python (NumPy, Pandas, EDA, Matplotlib/Seaborn), statistics (descriptive statistics, distributions, sampling, correlation, regression concepts, A/B testing and hypothesis basics) and Power BI (modelling, DAX, time intelligence, Power BI Service). The business analysis side covers stakeholder analysis, elicitation, BRD/FRD, prioritisation and traceability, AS-IS/TO-BE and BPMN/UML modelling, Agile/Scrum and Jira, UX basics, software testing and UAT. Power BI is the BI tool used (not Tableau). Full module list: 1. Week 1 · Days 1–7: Orientation, analytics foundations & Excel basics (5 sessions · 10 hrs); 2. Week 2 · Days 8–14: Excel analysis & stakeholder discovery (5 sessions · 10 hrs); 3. Week 3 · Days 15–21: Power Query & requirements documentation (5 sessions · 10 hrs); 4. Week 4 · Days 22–28: Relational databases & SQL fundamentals (5 sessions · 10 hrs); 5. Week 5 · Days 29–35: SQL for analysis & process modelling (5 sessions · 10 hrs); 6. Week 6 · Days 36–42: Python foundations & process modelling (5 sessions · 10 hrs); 7. Week 7 · Days 43–49: Python analysis, Agile & Jira (5 sessions · 10 hrs); 8. Week 8 · Days 50–56: Statistics, visualisation & Agile delivery (5 sessions · 10 hrs); 9. Week 9 · Days 57–63: Power BI modelling & UX (5 sessions · 10 hrs); 10. Week 10 · Days 64–70: Reporting, testing & solution assessment (5 sessions · 10 hrs); 11. Week 11 · Days 71–77: Integrated capstone build (5 sessions · 10 hrs); 12. Week 12 · Days 78–84: Capstone integration & review (5 sessions · 10 hrs); 13. Days 85–90: Final presentation, portfolio & career readiness (6 portfolio days). We will send this module list on WhatsApp or email on request.

2How many real projects will I do, and with what datasets? Can I see past student projects?

Every one of the 60 sessions ends with a portfolio deliverable (for example a KPI dashboard, SQL query pack, cleaning notebook, BRD outline, process map or UAT plan). From Day 71 you build an integrated capstone on one of three cases: retail/e-commerce, banking/CRM or a healthcare service app. It combines a requirements pack, SQL and Python analysis, a Power BI dashboard, a Jira backlog and UAT evidence, ending with a recorded stakeholder presentation. Ask us on WhatsApp and we will share sample capstone projects from past learners.

3What is the trainer's industry experience? Do they work in the industry now?

Programmes are led by Sreemathy Sampath, Founder & Managing Director of Linkskill Academy, who has 10+ years of training experience in data and analytics, together with practising industry mentors for specialist modules. Ask us on WhatsApp for the name, LinkedIn profile and current role of the trainer assigned to your batch, and we will send it in writing before you pay.

4Can I attend a free demo class before paying?

Yes. You can attend a free demo / orientation session before you pay anything. Book a slot on WhatsApp (+91 90874 96799). We also run regular free and low-cost workshops (for example our free SQL one-day workshop), which are a good way to experience our teaching style first.

5How many students are in a batch? Are there weekday, weekend or online options?

Batches are kept small so the trainer can review every learner's work. We run weekday and weekend batches, in person at our Arisipalayam, Salem centre, live online, or hybrid. Ask us for the exact seat count and timings of the next batch and we will confirm them on WhatsApp or email.

6What is the duration and total fee, including taxes and exam charges? Are instalments available?

Duration: 90 calendar days: 60 live guided sessions of 2 hours each (120 hours), with the final 6 days reserved for portfolio completion, presentation and assessment. Fee: Diwali offer: ₹25,000 instead of the regular ₹40,000, plus a free 4-gram silver coin and a free internship on enrolment. EMI/instalment options are available. We confirm the final amount in writing before you pay. Before you pay we send the full amount in writing, with GST and any third-party exam fees shown separately, so there are no hidden charges.

7Who issues the certificate? Is it linked to Microsoft or another recognised body, or is it the academy's own?

The Dual-Track certificate (Data Analytics + Business Analytics) is issued by Linkskill Academy Pvt. Ltd. on completing the 90-day program and the integrated capstone. It is the academy's own certificate, not a Microsoft certificate. The Power BI modules prepare you for Microsoft's PL-300 exam, which you book and pay for directly with Microsoft.

8Do you offer placement support or only interview prep? Which companies hired your recent students, and how many were placed last year?

We offer placement support, not a job guarantee, and we do not advertise "100% placement". Support continues after the course until you are placed: resume and LinkedIn rebuilding, mock interviews, portfolio review and referrals to hiring companies we work with. Ask us for the list of companies that hired our recent learners and last year's placement numbers, and we will share them in writing.

9Can I speak to two or three past students?

Yes. On request we connect you with two or three past learners from a recent batch (with their consent) so you can ask them directly about the training, projects and placement support.

10What is the refund or batch-change policy if I'm not satisfied?

Our written policy: 100% refund if you cancel 7+ days before the batch starts; 75% refund if you cancel within the first 7 days of class and have attended no more than 2 sessions; after week 1 there is no refund, but you can transfer to a later batch free of charge. Batch transfers are unlimited and free. Refunds are processed within 7 business days.

11Is an internship included, and is it paid or unpaid?

Yes. A free internship is included with the DA + BA Combo enrolment: after training you work on a live project with mentor guidance and an internship certificate. It is a learning internship, not a stipend-paying job.

12If I miss a class, do I get recordings or a repeat session?

Every live session is recorded and shared with you, so you can revise any topic or catch up on a missed class. If you miss several sessions, you can also join the same topic in a parallel or later batch at no extra cost.

Get it in writing. Ask for any of these answers on WhatsApp (+91 90874 96799) or email (info@linkskillacademy.live) and we will reply in writing, so you have a record before you pay. Be cautious of any institute that promises "100% placement" without naming companies or numbers. Get these answers on WhatsApp →
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