Start here6 units39 bitesAbout 117 min
AI & Data Fundamentals
How AI works, how to instruct it, and how to read numbers honestly.
- What is AI?
- Prompts
- Patterns, not magic
- Blind spots
- Data basics
- Working with AI
Curriculum
Everything you will learn in Datamew
Start with how AI and data actually work. Then go deep in your role: marketing, HR, finance, retail and e-commerce, or media. Every lesson is a three-minute bite with a quick check, and no coding is needed.
6 units29 bitesAbout 87 min
AI for Marketing
Research, content, personalisation and campaign analysis with AI — with your judgement still in charge.
- AI in the marketing workflow
- Audience and market research
- Content with AI
- Personalisation and segments
- Campaign analysis with AI
- Risk, privacy and brand safety
6 units32 bitesAbout 96 min
Data Analytics for Marketing
Metrics, funnels, A/B tests, attribution and cohorts — the numbers behind marketing decisions.
- Metrics that matter
- Funnels
- A/B tests
- Attribution
- Cohorts and retention
- Segmentation and dashboards
6 units30 bitesAbout 90 min
Data Analytics for HR
People analytics: turnover, hiring, engagement and pay fairness — with privacy protected.
- People analytics basics
- Turnover and retention
- The hiring funnel
- Engagement surveys
- Pay and fairness
- Ethics and privacy
6 units28 bitesAbout 84 min
Forecasting for Retail & E-commerce
Forecast demand, plan stock, and be ready for Ramadan, 11.11 and 12.12.
- Forecasting basics
- Reading your sales history
- Seasonality and events
- Simple forecasting methods
- Measuring forecast accuracy
- From forecast to stock decisions
6 units24 bitesAbout 72 min
Forecasting for Marketing
Forecast traffic, leads and campaign results, and defend the numbers in the budget meeting.
- Why marketers forecast
- Forecasting traffic and leads
- Forecasting campaign results
- Budget and channel planning
- Scenarios and uncertainty
- Tracking against the forecast
6 units25 bitesAbout 75 min
Forecasting for Finance
Budgets, revenue and cash forecasts, rolling forecasts and scenarios, with spreadsheet arithmetic.
- Finance forecasting basics
- Revenue forecasting
- Costs and cash
- Rolling forecasts and scenarios
- Forecast accuracy and bias
- AI in finance forecasting
6 units25 bitesAbout 75 min
Product Recommendation for E-commerce
How "you might also like" works, the data behind it, bundles, and how to measure the impact.
- How product recommendations work
- The data behind recommendations
- Where recommendations go
- Bundles and cross-sell
- Measuring recommendations
- Responsible recommendations
6 units25 bitesAbout 75 min
Product Recommendation for Retail & Media
Loyalty programmes, personal vouchers and "watch next": recommendations beyond the online shop.
- Recommendations beyond the online shop
- Loyalty and member data
- Recommendations in retail
- Content and media recommendations
- Measuring impact
- Trust, privacy and fairness
Questions about the curriculum
Learning
Where should I start?
Everyone begins with AI & Data Fundamentals, which covers how AI works, how to write a good prompt and how to read data honestly. Then pick the track for your job.
How long is each lesson?
Each lesson is a bite of about three minutes: a few short paragraphs, an example and at least two quick questions that check you understood before you move on.
Do I need to know how to code?
No. Every Datamew track is written for working professionals without a technical background. Where there is arithmetic, it is the kind you can do on a phone or in a spreadsheet.
When can I start learning?
Datamew is coming to iOS and Android soon. There is no release date or price announced yet: join the waitlist and we will tell you when the app is out.
Is it available in Bahasa Indonesia?
Yes. Datamew is written in English and Bahasa Indonesia.
Waitlist
Be first on the app
Leave your email and we will tell you the day Datamew lands on your phone. One email at launch, no spam.
- Coming soon onApp Store
- Coming soon onGoogle Play