01
Data thinking
- Analytics lifecycle and business questions
- Metrics, dimensions and KPIs
- Data types and sources
- Data quality and responsible use
All technology programs
Webshala technology program
Data & Analytics
Transform raw data into reliable insights and decision-ready stories.
A business-focused analytics pathway covering data preparation, SQL, analysis, dashboard design, statistics, storytelling and AI-assisted insight generation.
Learning outcomes
What learners will be able to do.
The program is built around observable capability—not passive content completion.
01
Structure questions as measurable analytics problems
02
Clean, transform and validate business data
03
Query relational data using SQL
04
Build clear dashboards and performance metrics
05
Apply statistics to business decisions
06
Present insights with evidence and appropriate context
Detailed curriculum
From foundations to real implementation.
Modules can be adapted to the learner profile, available hours and institutional or team outcomes.
02
Data preparation
- Cleaning and standardising data
- Missing values and outliers
- Combining multiple sources
- Validation and repeatable preparation
03
SQL for analysis
- Queries, filters and aggregations
- Joins and relational thinking
- Subqueries and common table expressions
- Window functions and business analysis
04
Exploratory analytics
- Descriptive analysis
- Segmentation and trend discovery
- Cohort and funnel analysis
- Forming and testing explanations
05
Statistics for decisions
- Distributions and sampling
- Correlation and causation
- Confidence and hypothesis testing
- Experiment and A/B test fundamentals
06
Dashboards and BI
- Dashboard purpose and information hierarchy
- Data models and calculated measures
- Interactive filters and drill-down
- Executive and operational dashboard patterns
07
Data storytelling and AI
- Choosing effective visualisations
- Narrative structure and recommendations
- AI-assisted analysis workflows
- Verification, bias and governance
08
Analytics capstone
- Business brief and analysis plan
- End-to-end data preparation
- Dashboard and insight report
- Stakeholder presentation and Q&A
Hands-on work
Projects learners can explain and demonstrate.
Every project includes planning, implementation, testing, documentation and a final walkthrough.
Performance dashboard
Build an executive dashboard with validated KPIs, trends, segments and actionable drill-downs.
Customer funnel analysis
Analyse acquisition, conversion, retention and drop-off to identify growth opportunities.
Decision insight report
Combine SQL, statistics and visual storytelling to answer a real business question.
TOOLS & PLATFORMS
SQLSpreadsheetsPower BI or TableauPython fundamentalsData visualisationAI analysis tools
Who this is for
Built for the right starting point.
- Students and aspiring analysts
- Business and operations teams
- Marketing and finance professionals
- Managers building data literacy
Included in delivery
Support beyond the syllabus.
- Live sessions with working professionals
- Guided labs, assignments and assessments
- Project reviews and implementation feedback
- Certification exam preparation
- Interview questions and role preparation
- Resume and project-presentation guidance
Build your cohort
Want this program for your students or team?
We'll adapt the curriculum, depth and project context to your goals.