Certification
Data Science Certification Online
Statistics, SQL, experimentation and dashboards — the analytics half of AI, taught by people who have had to defend a number in a board meeting.
- weeks
- 18weeks
- case studies
- 4case studies
- capstone
- 1capstone
What you get
How this one is different
Statistics that survive contact
Distributions, confidence intervals, hypothesis testing and the ways an A/B test quietly goes wrong.
SQL until it is boring
Window functions, CTEs and query performance, drilled against a realistic warehouse schema.
Dashboards people use
Power BI and Excel modelling, with a hard focus on the one number a stakeholder needs to see first.
Predictive modelling
Forecasting, churn and segmentation, framed as decisions rather than accuracy scores.
Detail
Syllabus
- 01Python for data analysis
- 02SQL and data modelling
- 03Descriptive and inferential statistics
- 04Experiment design and A/B testing
- 05Visualisation, Excel and Power BI
- 06Forecasting and predictive models
Questions
Before you start
This track spends more time on statistics, experimentation and communication; the ML course spends more time on algorithms. They share Modules 1 and 2.
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Become AI native, it is the real deal today, and if it is not for you, you have lost nothing but learnt a new skill.
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