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Data Science for Business Decision Making

Learn to apply data science end-to-end to real business decisions—framing problems, building pipelines, experimenting, modeling, and turning insights into measurable impact.

Data Science & Analytics · Intermediate

Free · Self-paced · Certificate included

Data Science for Business Decision Making

About this course

This course equips business leaders, analysts, and product owners to apply data science to real decisions—from framing problems and building reliable pipelines to experimentation, modeling, forecasting, and operationalizing insights. Learn to translate strategy into metrics, design trustworthy analyses, and deploy models that drive measurable impact. Emphasis is on practical tools, governance, eth...

What you'll learn

  • Frame business problems into testable questions and measurable metrics
  • Design data strategies with governance, privacy, and ethical safeguards
  • Build reliable data pipelines and ensure data quality for analysis
  • Perform exploratory analysis and create operator-focused BI reports
  • Apply statistical thinking and causal inference to support decisions
  • Design and analyze experiments to measure causal impact
  • Develop predictive and time-series models for business outcomes
  • Translate analytics into pricing, operations, and customer strategies
  • Deploy and monitor models using MLOps best practices
  • Measure ROI, produce actionable storytelling, and drive change management

Prerequisites

Familiarity with basic statistics and spreadsheets; comfort with data concepts. Recommended: exposure to SQL or introductory Python for hands-on modules.

Level
Intermediate· Level
Duration
10 weeks (40–60 hours)· Duration
Language
English· Language
Modules
15· Modules

Skills you'll gain

  • Problem framing & metric design
  • Data strategy & governance
  • Data quality & pipeline design
  • Exploratory data analysis
  • Descriptive analytics & BI
  • Statistical reasoning & causal inference
  • Experiment design & A/B testing
  • Predictive modeling & forecasting
  • MLOps & model deployment
  • Data storytelling & stakeholder influence
  • ROI measurement & change management
  • Ethics and responsible AI

What you'll study

15 modules — work at your own pace.

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Why people choose jypi for their learning

“Being able to go at my own pace changed everything. I fit learning in around my job and family — no pressure, just progress when I'm ready.”

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“I took what I learned here and used it straight away on a new initiative at work. My manager noticed the difference within a few months.”

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“My degree didn't cover half the stuff I needed for my role. jypi filled those gaps with courses I could actually finish.”

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“It's not only about career. I learn because I'm curious. jypi lets me follow that without limits.”

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