
Self-Service Analytics Automation Pack
Removes manual data preparation and finds process bottlenecks

Turn your data into decisions your teams can defend.
We build analytics capability inside enterprises: the people, the standards and the data habits that turn reporting into decisions. Instructor-led programs across BI platforms, visualization, self-service analytics, and functional analytics are how we do it, scoped to your tools and delivered wherever your teams are.
Instructor-led workshops and programsIn-house, virtual or blended10+ languagesDelivered in English, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian, and more100+ countriesWe have delivered in United States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
Trusted as a Leading Corporate Training Provider by
Corporate data analytics and business intelligence training is instructor-led group training that builds an organization's ability to turn data into decisions. It spans BI platforms, data visualization and storytelling, self-service analytics, Excel-based analysis, geospatial analytics, and analytics for specific business functions. Programs are scoped to the tools an employer is standardized on and delivered to a closed cohort rather than sold as individual seats.
The distinction that matters commercially is between dashboards and decisions. Licenses give people charts; group training builds a shared analytical standard: the same definitions, the same visualization discipline, and the same habits for questioning numbers. For enterprises trying to become data-driven, that shared standard is what makes the investment stick.
Programs split across the analytics workflow. BI platforms: Power BI, Tableau, Qlik, and Looker, from report building to administration. Self-service and Excel analytics for business users who analyze without engineering support. Data visualization and storytelling that turn findings into influence. And functional analytics for finance, marketing, sales, supply chain, and HR teams.
Every engagement starts with discovery: which tools, which data, which decisions, and which teams need to make them. Trainers are then matched from a vetted bench of analytics practitioners and BI consultants, and the program is tailored before delivery. Cohorts are closed to your organization, run in your timezone, and measured with pre- and post-assessments so L&D can show what changed.
Eight areas carry most of the catalog. Start where your needs are greatest.
Data Analytics & Business Intelligence programs to start with.
Analyse customer behaviour, value, journeys and segments to understand who buys and why.
Use data to frame business problems, compare options and make decisions you can explain and defend.
Connect data, build calculations, and design interactive Tableau dashboards that answer business questions.
Apply sampling, hypothesis testing, correlation and regression to real business questions.
Browse all 64 data analytics & business intelligence programs across 8 topics, from Functional & Industry Analytics and Data Literacy & Business Analytics to BI Platforms and Geospatial Analytics. Filter by topic and delivery format, then request a tailored proposal.
SHOWING 1–15 OF 64 · 64 IN THE LIVE CATALOG
Build repeatable Alteryx workflows that blend, clean and prepare data without manual spreadsheet steps.
Build modular dbt models with tests, documentation and version control that turn raw data into trusted tables.
Learn how distributed storage and processing work, and when data volume calls for big data tools.
Load, transform, aggregate and analyse large datasets with Spark DataFrames and Spark SQL.
Build Board data models, reports and planning screens that join BI with performance management.
Use data to frame business problems, compare options and make decisions you can explain and defend.
Learn descriptive analysis, KPIs, trends and simple comparisons that turn business data into findings.
Apply sampling, hypothesis testing, correlation and regression to real business questions.
Design clear, accurate maps with good symbology, labelling, layout and projection choices.
Analyse and visualise data using cloud data warehouses and BI services across major platforms.
Analyse customer behaviour, value, journeys and segments to understand who buys and why.
Automate geoprocessing and analysis in ArcGIS Pro with Python and ArcPy scripts.
Analyse business data and choose clear charts and layouts that show what the data actually says.
Find patterns with clustering, association rules, classification and anomaly detection.
Build visual KNIME workflows to blend, clean, model and validate data.
Build your team’s capabilities in data analytics & business intelligence with curated training programs arranged in a clear learning sequence. Each pathway builds skills progressively, helping your workforce achieve defined milestones and apply their learning to business goals.

Removes manual data preparation and finds process bottlenecks
Speeds up everyday analysis and automates manual spreadsheet work
Applies analytics to the specific decisions of that function or industry

Builds location intelligence capability from business use to technical GIS analysis
Uses location data to plan networks, sites, services, and public infrastructure
Uses location data to plan networks, sites, services, and public infrastructure
Uses location data to plan networks, sites, services, and public infrastructure
Explore data analytics & business intelligence training aligned with your teams’ functions, job roles, industry and tools. Help your teams build the knowledge and practical skills to apply data analytics and business intelligence across your organization, supporting your business priorities and evolving needs.
Connect financial questions with well-defined measures and reliable data. Build analysis and reporting that explain variances, compare scenarios and support business decisions.
Evaluate marketing activity against clear customer and business questions. Strengthen segmentation, campaign measurement and interpretation so findings lead to better decisions.
Make pipeline and commercial performance easier to understand. Develop consistent measures, forecast checks and reports that help sales leaders act on the right signals.
Use data to identify bottlenecks, variation and opportunities to improve delivery. Develop practical analysis that links operational measures with service and productivity goals.
Turn workforce questions into responsible, interpretable analysis. Improve metric definitions, data quality and communication while respecting privacy and the limits of people data.
Understand demand, inventory and service performance through connected data. Build scenario analysis and decision-ready reporting that make trade-offs visible across the supply chain.
Deliver reports and data models that users can understand and trust. Improve requirements, semantic consistency and release practices so BI remains useful as business needs change.
Ask better analytical questions and interpret results with appropriate caution. Practice reading visualizations, challenging assumptions and translating insight into an explicit business choice.
Prioritize analytical work around business value and credible delivery plans. Strengthen stakeholder alignment, quality expectations and ongoing ownership of deployed solutions.
Build practical reporting solutions with Power Query, semantic models and clear visuals. Develop publishing and access-control habits that keep reports usable, reliable and appropriately shared.
Training a role that is not listed, or a mix of them? Tell us who you are training and what they need to do, and we build the shortlist
Where analytics teams most often cross-train, based on how these courses are classified.
Domain-level outcomes, not course objectives. These are the capabilities enterprises usually buy this training to build.
Build governed dashboards and reports: BI development from data modeling to distribution.
Communicate findings that drive action: visualization craft and narrative structure.
Analyze without waiting on IT: Excel, Power Query, and self-service BI done well.
Make analytics part of daily work: definitions, data quality habits, and critical thinking.
Answer function-specific questions: finance, marketing, sales, and operations analytics.
Map and analyze location data: GIS workflows for planning and operations.
Move from reporting to prediction: forecasting and statistical methods for business.
Standardize how the organization measures: KPI design, governance, and review cadence.
Onsite, live virtual, or hybrid, every program is instructor-led and built around your teams.
A trainer comes to your office and works face to face with your team, using your policies and your examples.
For small teams or enterprise-wide training, across one site or multiple global locations, in one language or multiple languages.
Get a QuoteExpert-led live online sessions delivered anywhere, with consistency and easy scheduling. Training tools such as Zoom or Microsoft Teams are selected subject to your organization's approval and compliance requirements.
For small teams or enterprise-wide training, across one site or multiple global locations, in one language or multiple languages.
Get a QuoteCombine in-person sessions with live online training in a coordinated instructor-led program, with the mix planned around your team's needs.
For small teams or enterprise-wide training, across one site or multiple global locations, in one language or multiple languages.
Get a QuoteUseful analytics starts with the decisions your business needs to make. Edstellar tailors role-based, instructor-led training for analysts, reporting teams, business users and decision-makers around relevant questions, datasets and workflows. Practical application connects data preparation, analysis and visualization with interpretation and communication, helping teams examine evidence responsibly while adapting to new information sources, analytical methods and reporting expectations over time.

Translate business questions into relevant measures, analysis and reporting approaches
Connect analyst capabilities with business users and decision-maker needs
Examine data quality, uncertainty and misleading conclusions in practical scenarios
Adapt analytical capabilities to new datasets, methods and stakeholder questions
Experience across industries brings business context to analytics learning
Company-wide training experience informing practical learning for analytics teams
Company-wide trainer network supporting analytics learning and complementary business skills
Edstellar's certified quality and information-security management systems support analytics training delivery
Every engagement runs the same five stages, from capability baseline through delivery to sustained measurement.
We meet your stakeholders and L&D team to baseline what your people can do today against the Analytics capability you need.
Weeks 1–2
Programs are assembled against your policies, obligations, and team levels, then trainers are shortlisted from the vetted bench.
Weeks 2–4
Closed-cohort instructor-led sessions in your language and timezone, with labs, exercises, and materials shipped alongside.
Scheduled to your calendar
Pre- and post-assessments establish a measurable change in capability, benchmarked against role frameworks.
Immediately after delivery
Retrospectives, refresher modules and skill-refresh tracking keep the investment from decaying, and the measured gaps feed the next cycle.
Quarterly
Stage 05 feeds the next cycle: the gaps it measures become the next Discover.
Also from Edstellar
Psychometric, behavioral, leadership and 360-degree assessment.
Needs analysis, gap identification, and a training roadmap.
Learning strategy, content, technology and ROI measurement.
Org design, succession planning and cultural change.
Training outsourcing, vendor management, logistics and administration.
Executive and manager coaching that keeps skills in use.
BI analysts and developers, business analysts, finance and operations analysts, marketers, and data-literate managers. A separate track covers executives on decision intelligence.
Instructor-led and live, as a closed cohort for your team, onsite, virtual, or hybrid. There are no self-paced modules. You choose the format, location, language, and schedule.
Yes. Programs are scoped to your BI stack, whether Power BI, Tableau, Qlik, Looker, or Excel. Tell us your tools in the discovery call.
Yes. Your datasets, definitions, and reporting challenges are built into the exercises, so teams train on the data they actually use.
Most programs run 14 to 24 hours across several sessions. Multi-program bundles and enterprise rollouts are scheduled around your calendar.
Cohorts run from a single small team up to enterprise rollouts of hundreds, with one trainer per cohort for hands-on quality.
Yes. Every program is hands-on in the actual tools: building dashboards, models, and analyses, not watching demos.
Pre- and post-assessments benchmark each participant against role frameworks, with a completion report showing measured change per cohort.
Yes. Literacy and storytelling programs are built for business users, with no coding assumed and concepts in plain terms.
Yes. Programs cover finance, marketing, sales, supply chain, HR, and healthcare analytics with function-specific use cases.
A room or virtual setup, participant list, and tool access where relevant. We ship datasets, exercises, and materials.
Discovery to delivery typically takes two to four weeks, depending on customization depth and trainer matching for your stack.
Yes. You can sit in on a trial session with the shortlisted trainer before committing, to check fit with your team and level.
Pick the scale that matches your rollout. Every quote is tailored to your teams and timeline.
Team size
1–25 PARTICIPANTS
One or two programs for a single team, delivered as a closed cohort. The usual entry point for a first Analytics engagement.
26–150 PARTICIPANTS
Multiple cohorts or programs for larger teams, with delivery structured around your workforce and training requirements.
151–1,000 PARTICIPANTS
A coordinated rollout across business units, with role-based tracks and central reporting for L&D.
1,000+ PARTICIPANTS
Analytics capability at organizational scale, with dedicated management and measurement from pilot to rollout.
Tell us which teams you are training and what they need to be able to do. Anything you filtered in the catalog comes through with your message.