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Education

Corporate training: data analytics

Corporate training in data analytics: Python for data, social media analytics, and search and AI-search analytics, taught hands-on on your own data. On-site or remote, in Indonesian or English.

Education

The challenge brands face

Teams report the metrics that export most easily, and the step from a tutorial dataset to your own messy tables is where most people stop. The analytics that should settle an argument end up as screenshots in a deck.

Search reporting also stopped being one dashboard: a growing share of buyers ask an AI assistant and never see a results page, so teams that only read rankings can miss where they are losing ground.

Why this matters now

Generic courses teach generic examples. Training on your own numbers is what turns a report into a decision, because the exercises are the work.

Education

Our approach

  1. 1

    Python for data

    Loading, cleaning and summarising your own tables in notebooks people run themselves.

  2. 2

    Read the metrics

    What each social, search and AI-search metric measures, what it cannot tell you, and which decision it should trigger.

  3. 3

    Decide from your own data

    The team reads its own recent numbers and argues about what they say, which is where the learning happens.

Education

What you receive

  • A curriculum chosen from the three tracks for your team
  • Notebooks and exercises built on your own data or an anonymised sample of it
  • A metric glossary for the numbers your team reports
  • Live sessions, on-site or remote, in Indonesian or English
  • Exercises and materials your team keeps, built on your own work where possible
  • A written summary of what was covered and suggested next steps

Education

How we prove progress

Every engagement is measured against numbers you can check yourself.

  • The skills agreed on the first call, checked at the end of the sessions
  • Exercises completed on your own material, reviewed together
  • Materials and workflows the team keeps using afterwards

Education

Who this is designed for

  • Analysts moving from spreadsheets or SQL into Python

  • Social media and content teams who report engagement

  • SEO and marketing teams whose reporting stops at rankings and impressions

  • Managers who need to judge the numbers rather than produce them

Education

What to expect

Outcome

Reporting that ends in a decision instead of a screenshot, and a team that can say which number they acted on and why.

An honest timeline

A workshop on one topic, or a programme of several sessions: the format, the number of sessions and the dates are agreed after the first call. We ask for any material or data access about a week ahead, so the exercises use your own work.

Education

Questions: Corporate training: data analytics

Do participants need to know Python?

No. A programme can start at Python for data, and the social and search modules need no code at all. We agree a starting level with you first, so nobody spends a session lost.

On-site or remote?

Either. On-site suits hands-on workshops in one office; remote suits teams spread across several. Both are taught live, in Indonesian or English.

Can the exercises use our data safely?

Yes, where you can share it. We can work from an anonymised sample, or run the exercises inside your environment so the data never leaves it.

How long is the training, and what does it cost?

It depends on who attends and what they should be able to do afterwards. After the first call we send a written proposal with the format, the number of sessions, the dates and the price.

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Tell us what you need

Describe the problem, the team and where it has to run. An engineer reads every enquiry and replies by email.

You will get an engineer on the first call, not a qualification script.