Puji - Guru matematika -
Puji - Guru matematika -

Profil Puji dan detail kontaknya telah diverifikasi oleh pakar kami

Puji

  • Tarif Rp200,000
  • Respon 1 jam
Puji - Guru matematika -

Rp200,000/jam

Lihat guru di
matematika

Sayang sekali, guru ini sedang tidak tersedia

  • Matematika
  • Matematika Terapan

In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathe

  • Matematika
  • Matematika Terapan

Lokasi kursus

    • Di rumah Puji :

Tentang Puji

In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is. I will emphasize on use of data analytics tools and the interpretation of the outcome.the training will use many different examples from actual Lean Six Sigma projects to illustrate all tools. I will not discuss any mathematical background. The setting we chose for our data example is a Lean Six Sigma improvement project. However data analytics tools are very widely applicable. So you will find that you will learn techniques that you can use in a broader setting apart from improvement projects

Lihat lebih banyak

Tentang kursus ini

  • Semua tingkat
  • Indonesia

Tersedia semua bahasa di kursus ini :

Indonesia

the training will use many different examples from actual Lean Six Sigma projects to illustrate all tools. I will not discuss any mathematical background. The setting we chose for our data example is a Lean Six Sigma improvement project. However data analytics tools are very widely applicable. So you will find that you will learn techniques that you can use in a broader setting apart from improvement projects

Lihat lebih banyak

Tarif

Tarif

  • Rp200,000

Tarif paket

  • 5 jam: Rp1000
  • 10 jam: Rp2000

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