Course · Data & Analytics
Data-Driven Decision Making
Make decisions with data — KPIs, dashboards, A/B testing, statistical thinking, and avoiding common data pitfalls.
- 1 free lesson every day
- Verifiable certificate on completion
- From Data-Curious up to Data Strategist
- Personalized to you
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Free to start — your first lesson is 5 minutes.
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Looking for Data-Driven Decision Making for your business?
Learn in your language
Clear explanations, without a language barrier
The interface, Kai, and every explanation adapt to your language. Learn statistical thinking, KPI design, experiments, dashboards, and modeling in the language you understand best.
English
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РусскийWhy data courses get abandoned
Knowing the terms is not the same as making the decision
Dashboards without direction
You can read the charts, but you are still unsure which metric matters or what action the data supports.
KPIs that create noise
Teams track what is easy to count. Leading and lagging indicators get mixed together, and priorities stay unclear.
Statistics without practice
You learned definitions for significance, correlation, or bias but struggle to apply them to a real business question.
The analysis plateau
You can summarize past results, yet designing a sound experiment or turning a model into a recommendation still feels out of reach.
Your path to mastery
Start at your real level. Keep progressing to the top.
A short placement skips what you already know. From there, five-minute lessons build the judgment to frame questions, assess evidence, test ideas, and recommend action.
Where are you today?
Today
You rely on reports or instinct but are not sure how to turn a business problem into a useful data question.
In 1 month
With a daily five-minute habit, you can begin framing focused questions and documenting decisions with a repeatable workflow.
At mastery
You can lead evidence-based decisions from the first question through analysis, testing, recommendation, and communication.
Make your next decision with evidence
Find your level, close the gaps, and keep progressing until you can lead the full decision process.
How it works
No fixed syllabus pace. No repeating what you know.
Your course changes with your demonstrated skills, goals, and progress.
Find your starting level
Practice with Kai
Verify what you can do
Inside each lesson
Practice the decisions analysts make
Each activity connects a method to a realistic business choice, so you learn when to use it and what its result can support.
Worked analyses, end to end
Follow a business question through data checks, exploratory analysis, chart selection, interpretation, and a documented action plan.
Interpret-the-data quizzes
Read KPI movements, distributions, experiment results, and model outputs. Decide what the evidence does—and does not—show.
Decision scenarios with Kai
Choose how to handle a weak metric, confounding factor, inconclusive test, or stakeholder request. Kai responds in character and explains the tradeoffs.
Methods and terminology cards
Recall concepts such as leading indicators, selection bias, statistical significance, segmentation, precision, and recall.
Review before concepts fade
Spaced repetition brings back the methods and judgment calls you are close to forgetting.
Custom lessons on demand
Turn an upcoming dashboard review, KPI debate, experiment, or modeling decision into a focused lesson in about 30 seconds.
Built around your gaps
The course adapts to how you make decisions
You do not need the same explanation or practice as every other learner. The Kampster engine adjusts what comes next using evidence from your work.
The Kampster engine
Your demonstrated skills
The placement and lesson responses reveal whether your gaps sit in question framing, data quality, KPI design, experimentation, or modeling.
Your memory
Methods, terminology, and common pitfalls return near the point when you are likely to forget them.
Your questions
Kai explains a result another way, works through uncertainty, and lets you ask follow-ups without pressure.
Your decisions
Examples and custom lessons adapt to the dashboards, metrics, experiments, and recommendations you face in your work.
5 modules · 57 lessons
The right topic arrives when you are ready for it
Move from the six-step decision workflow through data quality, KPI design, exploratory analysis, visualization, A/B testing, tiered dashboards, predictive modeling, segmentation, and evidence-based storytelling. The curriculum adapts to your level instead of becoming a list of homework.
Decision Workflow Foundations
Learner can apply the 6-step DDDM workflow to convert a real business question into a documented action plan.
Data Quality and KPI Design
Learner can build a clean, documented dataset and design a KPI set that distinguishes leading from lagging indicators.
Decision Workflow Foundations
Learner can apply the 6-step DDDM workflow to convert a real business question into a documented action plan.
Data Quality and KPI Design
Learner can build a clean, documented dataset and design a KPI set that distinguishes leading from lagging indicators.
Exploratory Analysis and Visualization
Learner can perform descriptive exploratory analysis and select the right chart type to communicate findings clearly.
Experimentation and Dashboards
Learner can design a statistically valid A/B test and build a tiered dashboard that separates executive from operational views.
Exploratory Analysis and Visualization
Learner can perform descriptive exploratory analysis and select the right chart type to communicate findings clearly.
Experimentation and Dashboards
Learner can design a statistically valid A/B test and build a tiered dashboard that separates executive from operational views.
Predictive Modeling and Storytelling
Learner can build, evaluate, and communicate a predictive or segmentation model that drives a concrete business recommendation.
Predictive Modeling and Storytelling
Learner can build, evaluate, and communicate a predictive or segmentation model that drives a concrete business recommendation.
Your scenario, your lesson
Turn a live data problem into practice
Create a focused lesson in about 30 seconds. Try: “Help me choose KPIs for customer retention.” “Can I trust this A/B test result?” “Review my executive dashboard structure.” “Help me explain this model to leadership.” “Which chart fits my sales trend?” Kai uses the scenario to guide your analysis and decision.
Whatever’s coming up — the lesson exists before your coffee’s ready.
Questions, answered
What to expect from the course
Do I need a background in statistics?
No. The placement finds your current level, and the course starts with the gaps it detects. Statistical concepts are introduced through decisions and interpretation rather than assumed knowledge.
What if I already know the basics?
You will not be required to repeat material you can demonstrate. The roughly two-minute placement can skip known foundations and move you toward analysis, experimentation, dashboards, or modeling.
How much time should I set aside?
A daily lesson takes about five minutes. Over a month, that steady habit can realistically move you about one level up the journey, depending on your starting point and responses.
Will I learn a specific analytics tool?
The course focuses on transferable decision skills: framing questions, checking data quality, designing KPIs, interpreting analyses, running sound experiments, structuring dashboards, and evaluating models.
Can I use a problem from my work?
Yes. You can create a custom lesson for a specific KPI, dashboard, experiment, chart, or stakeholder conversation in about 30 seconds.
Does the course have a fixed end date?
No. It keeps adapting past each plateau until you reach the top of the proficiency scale. Spaced review reinforces earlier skills along the way.
Keep exploring
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Course leaderboard
See who is setting the pace
The leaderboard highlights learners progressing through Data-Driven Decision Making and demonstrating stronger skills at each level.
Livia
1 / 100
Marta
1 / 100
Borka
0 / 100
Replace guesswork with a repeatable decision process
Take the placement, begin at your real level, and build toward verified data decision mastery.
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