Private corporate batches, live online cohorts and 1-on-1 mentoring in visual analytics from data source design through calculations, dashboards and governed publishing — taught by a practitioner who runs it in production.
20 years across DevOps, SRE and Security · 10,000+ engineers trained · Trained teams at JPMorgan Chase, Verizon, Nokia and the World Bank
Principal DevOps Engineer & Architect
Rajesh teaches Tableau from the data model upward rather than from the chart gallery: live connections against extracts, relationships against joins against blends, and the data source decisions that determine whether a workbook still returns correct numbers after someone adds a filter. Sessions work through the calculation layer in depth — row-level, aggregate, table calculations and level-of-detail expressions — alongside Tableau's order of operations, which explains almost every result that looks wrong. The course closes on Tableau Prep flows, publishing to Server or Cloud with permissions, row-level security and extract refresh strategy, and performance work driven by the performance recorder rather than by guesswork.
Twenty years across DevOps, SRE and Security, in principal and architect roles at PayPay, SoftwareAG, ServiceNow, JDA Software, Intuit, Adobe and others. He has trained engineers at JPMorgan Chase, Verizon, Nokia, the World Bank, VMware, Oracle, Mercedes-Benz and Airbus — more than 10,000 people personally. He teaches what he runs, not what he reads.
You are booked with a named engineer, and that is who turns up. Marketplaces and larger providers rotate whoever is free, so the person who sold you the agenda is rarely the person teaching it.
The same trainer is available for the next engagement, which matters when a team builds on what it learned last time.
Your batch is assigned a named trainer before it starts, and that is who teaches it. See the full faculty.
Engagements are matched on the tool, not the calendar. For Tableau that means a trainer who has run it in production — visual analytics from data source design through calculations, dashboards and governed publishing — rather than whoever is free that week. You are told who is teaching before you commit, and that person is on the discovery call that shapes the agenda.
Where a batch is large enough to need a second trainer, the pairing is declared up front. The lead trainer stays accountable for the syllabus and the assessment either way.
Principal DevOps Engineer & Architect
Twenty years across DevOps, SRE and Security in principal and architect roles at PayPay, SoftwareAG, ServiceNow, JDA Software, Intuit, Adobe, IBM/Emptoris, Ness, MindTree and Accenture. He has trained more than 10,000 engineers personally, at organisations including JPMorgan Chase, Verizon, Nokia, the World Bank, VMware, Oracle, Mercedes-Benz and Airbus. He teaches what he runs, not what he reads.
Teams of 8–30
Custom agenda, your timezone, onsite or online, NDA-friendly.
Request a quoteIndividual engineers
A private instructor and a curriculum built around your goal.
₹99,999Individuals who want peers
Scheduled batch, max 8 to 10 hours of live instruction.
₹34,999A private batch starts with a discovery call. We look at the stack you actually run — the CI system, the cloud, the constraints — and map the agenda onto it, so examples use your topology rather than a generic one.
Delivery is onsite at your premises, live online, or hybrid, scheduled around your release calendar rather than ours. Batches run 8 to 30 engineers.
Every attendee leaves with recordings, slides, lab repositories and a completion certificate. You receive an attendance and assessment report. Invoicing supports PO and GST.
Talk to us about a private Tableau batchTableau is a visual analytics platform for exploring data and publishing the result so other people can use it. Its core idea is that analysis happens by dragging fields onto shelves and immediately seeing the answer, rather than by writing a query, running it, and interpreting a table. Behind that interface it generates SQL against the connected source, so what looks like direct manipulation is in fact a query builder with a very fast feedback loop.
The product is a family rather than a single tool. Tableau Desktop is the authoring environment where workbooks, worksheets and dashboards are built. Tableau Prep handles the cleaning and reshaping that has to happen before analysis — joins, unions, pivots, splits and cleaning steps, expressed as a visible flow. Tableau Server and Tableau Cloud host published content, run extract refreshes on a schedule, enforce permissions and row-level security, and give consumers a place to view and subscribe to dashboards. Tableau Public is the free hosted variant, useful for learning but not for anything confidential.
What separates competent Tableau work from the rest happens below the visual surface. Data source design decides most of a workbook's future: live connection or extract, relationships against joins against blends, and whether the model produces correct numbers when a filter is applied. The calculation layer has real depth — row-level and aggregate calculations, table calculations that operate on the returned result, and level-of-detail expressions that compute at a granularity different from the view. And the order in which Tableau applies filters, calculations and table calculations explains almost every result that looks wrong but is not.
Every function in an organisation now expects self-service reporting, and the requests arrive faster than any central analytics team can serve them. Tableau exists in that gap: it puts exploration in the hands of the person who has the question, while still allowing a data team to control what is published, what is certified and who can see which rows.
The modern pressure is governance rather than adoption. Most organisations that bought Tableau several years ago now have hundreds of workbooks, several versions of the same metric, extracts refreshing on schedules nobody owns, and dashboards that take a minute to load. Fixing that is not a visualisation problem — it is data source design, permissions, certification, extract strategy and performance work. That is the skill organisations are hiring and training for now.
There is also a durable individual case. Analysts, finance staff, operations managers and product owners who can build and defend their own dashboards stop waiting in a queue. And because Tableau generates SQL rather than hiding the data model, the people who learn it properly end up understanding their organisation's data better than the tool they used to explore it.
Orientation before technique. Desktop, Prep, Server, Cloud and Public and what each is for; the authoring interface, shelves, marks and the query it silently generates; and the analytical mindset of asking a question, seeing an answer and asking the next one.
Topics: Desktop, Prep, Server, Cloud and Public compared · The authoring interface: data pane, shelves, marks card, cards and legends · Dimensions and measures, discrete and continuous · How Tableau turns a drag onto a shelf into SQL · Show Me and why it is a starting point rather than an answer · Workbook structure: worksheets, dashboards, stories, packaged workbooks · Version, licensing and deployment considerations that affect authoring
The decision that governs everything downstream. Connectors and drivers, live connections against extracts, relationships against joins against blends and what each does to row counts, hierarchies and folders, and the metadata work that stops a workbook returning plausible but wrong numbers.
Topics: Connector types: files, databases, cloud sources and custom SQL · Live connections versus extracts, and the operational cost of each · Hyper extracts: filters, aggregation, incremental refresh · Relationships and the logical layer · Joins and the physical layer: join types and row duplication · Blending and its aggregation behaviour and limits · Unions, cross-database joins and their pitfalls · Data types, defaults, aliases, hierarchies and folders · Published data sources and certification
Choosing the right encoding for the question. Marks and the visual variables that carry meaning, the chart types that actually earn their place, dual axes and combined charts, maps, and the design decisions — colour, ordering, labelling, axis handling — that make a chart readable at a glance.
Topics: Marks types and the visual encoding each one uses · Bar, line, scatter, histogram, box plot and when each is correct · Dual axis, combined axis and synchronised scales · Maps: geographic roles, custom territories and background layers · Reference lines, bands, distributions and trend lines · Colour: sequential, diverging, categorical and accessibility · Sorting, labelling, tooltips and annotation · Tables, highlight tables and knowing when a table is the right answer · Charts that mislead and how to avoid building them
The engine room. Writing calculations that compute per row against per aggregate, the function library that matters, date arithmetic, logical branching, and table calculations that operate on the returned result — with addressing and partitioning explained rather than guessed at.
Topics: Row-level versus aggregate calculations and where each is evaluated · String, date, numeric, logical and type conversion functions · IF, CASE, IIF and handling nulls deliberately · Date arithmetic, DATEDIFF, DATEADD and fiscal calendars · Table calculations: running total, difference, percent of total, rank, window functions · Addressing and partitioning: compute using in plain terms · Nested table calculations and the traps in them · Quick table calculations and when to abandon them · Debugging a calculation by exposing it in a temporary view
The two topics that separate confident Tableau users from frustrated ones. FIXED, INCLUDE and EXCLUDE expressions computing at a granularity other than the view, and Tableau's order of operations, which explains why a filter sometimes affects a calculation and sometimes does not.
Topics: Why level of detail expressions exist: view granularity versus computation granularity · FIXED, INCLUDE and EXCLUDE compared with worked examples · Customer cohort, first purchase and repeat behaviour patterns · Aggregating an aggregate without double counting · The order of operations: extract, data source, context, dimension, measure, table calculation filters · Context filters and when they are genuinely needed · Why a dimension filter changes a FIXED result and a context filter does not · Diagnosing a number that looks wrong, step by step
Making a view answer several questions. Filter types and scope, parameters and parameter actions, dynamic parameters, sets and set actions, groups and bins, hierarchies and drilldown — and the interaction design that keeps a dashboard usable rather than clever.
Topics: Filter types: dimension, measure, date, top N, condition and wildcard · Filter scope: worksheet, multiple sheets, data source, context · Parameters and parameter controls · Parameter actions and dynamic parameters · Sets, computed sets and set actions · Groups, bins and hierarchies · Drilldown and hierarchy navigation · Interaction design: how much control to give a consumer
Assembling and preparing. Dashboard layout, containers, sizing and device layouts, actions that connect views, and stories for narrative; then Tableau Prep for the cleaning, reshaping and joining that should not live inside a workbook.
Topics: Dashboard objects, containers and layout mechanics · Fixed, automatic and range sizing; device-specific layouts · Dashboard actions: filter, highlight, URL, go to sheet, parameter, set · Navigation, buttons and show/hide containers · Design for the consumer: hierarchy, whitespace, default state · Stories for guided narrative · Tableau Prep: input, clean, pivot, aggregate, join, union and output steps · Prep flow reusability, parameters and scheduled runs · Deciding what belongs in Prep, in the database, and in the workbook
Turning a workbook into a service other people depend on. Publishing to Server or Cloud, projects and permission models, row-level security, extract refresh strategy, subscriptions and alerts, and the performance work that decides whether a dashboard is used or abandoned.
Topics: Publishing workbooks and data sources; what gets embedded and what does not · Sites, projects, groups and permission inheritance · Row-level security approaches and testing them properly · Extract refresh scheduling, incremental refresh and failure handling · Certified data sources and preventing metric divergence · Subscriptions, data-driven alerts and usage metrics · The performance recorder: reading query, rendering and compute time · Common performance causes: too many marks, complex calculations, live query cost · Content lifecycle: ownership, archiving and retiring abandoned workbooks
We rebuild the agenda around the tools you actually run.
Request a custom agendaAnswer the same question with a relationship, a join and a blend, then explain exactly why the numbers differ and which one is correct.
Build a nested table calculation, predict its result before running it, then verify addressing and partitioning are what you intended.
Diagnose a workbook returning an incorrect total by tracing it through Tableau's order of operations, then fix it with the right filter type and LOD expression.
Build a rerunnable Tableau Prep flow that pivots, cleans and joins a real messy source, and document what belongs in Prep rather than the workbook.
Publish a data source with row-level security and demonstrate under two accounts that the entitlement model actually holds.
Profile a slow published dashboard with the performance recorder, attribute the cost between query, compute and rendering, and deliver a measured improvement.
Billed yearly at ₹9,996
Max 8 to 10 hours of live instruction
Full program, private instructor
8–30 engineers · custom agenda · onsite or online · PO and GST invoicing
Refunds. If we cancel or postpone a cohort, you get a full refund within 15 days. There is no money-back guarantee otherwise.
Terms. Course material remains licensed to the attendee. Read the terms.
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Certificate of completion
The Rundeck developer session was excellent and highly engaging. I appreciated how well the session was structured, with the theoretical concepts explained clearly and in simple terms. What stood out most to me was the demo — it was both informative and enjoyable. I especially liked how Rajesh walked us through not only the happy path but also the sad path, showcasing common issues and sharing practical troubleshooting tips.
Rajesh's experience and knowledge are exceptional and we learnt invaluable practical knowledge which we can apply in our production environment. Incredibly friendly and gave us a fantastic insight both in-depth and at a high level of the Rundeck product.
Great learning experience from a very knowledgeable instructor with well-prepared course notes. The lab exercises on AWS instance work well to learn the hands-on side of the course.
Rajesh is a very good trainer I have experienced in DevSecOps training. The number of contents in different topics he has posted on the DevOpsSchool public website are amazing and user friendly for beginners and experienced professionals.
The trainer (Rajesh) provided very good sessions on SRE profession. Not only hands-on learning on the tools but also SRE mindset.
Very good training session. Well explained from the basics to the complex concepts. Also tried to cover practicals and demos within the 3 hour sessions. The learning content and videos are of a great deal of help.
| What matters | YouTube + blogs | Generic online course | Freelance marketplace | DevOpsSchool |
|---|---|---|---|---|
| Named practitioner | No | Rarely | Varies per booking | Yes — same trainer each time |
| Production experience | Unknown | Unknown | Unverified | 20 years, named employers |
| Custom agenda | No | No | Sometimes | Built from your stack |
| Onsite delivery | No | No | Sometimes | Yes |
| Lab environment | None | Sandbox that expires | Varies | Your own cloud — skill goes with you |
| Assessment | None | Quiz | Rarely | Assignments + capstone per module |
| Per-attendee certificates | No | Sometimes | Rarely | Yes |
| Corporate invoicing | No | Limited | Varies | PO and GST |
| Post-training support | None | Forum, time-limited | None | Lifetime forum access |
Tell us the team, the stack and the timeline. You'll get a straight answer, not a sales sequence.
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