Process Mining Training Course

Audience

If you try to make sense out of the data you have access to or want to analyse unstructured data available on the net (like Twitter, Linked in, etc...) this course is for you.

It is mostly aimed at decision makers and people who need to choose what data is worth collecting and what is worth analyzing.

It is not aimed at people configuring the solution, those people will benefit from the big picture though.

Delivery Mode

During the course delegates will be presented with working examples of mostly open source technologies.

Short lectures will be followed by presentation and simple exercises by the participants

Content and Software used

All software used is updated each time the course is run, so we check the newest versions possible.

It covers the process from obtaining, formatting, processing and analysing the data, to explain how to automate decision making process with machine learning.

Objective:

Delegates be able to analyse big data sets, extract patterns, choose the right variable impacting the results so that a new model is forecasted with predictive results.

Course can be provided with any tools, including free open-source data mining software and applications

R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has a wide variety of packages for data mining.

This course is intended for engineers and decision makers working in data mining and knoweldge discovery.

You will learn how to create effective plots and ways to present and represent your data in a way that will appeal to the decision makers and help them to understand hidden information.

Insurtech (alias Asuransi Digital) mengacu pada konvergensi asuransi + teknologi baru. Di bidang Insurtech, "perusahaan asuransi digital" menerapkan inovasi teknologi pada bisnis dan model operasi mereka untuk mengurangi biaya, meningkatkan pengalaman pelanggan, dan meningkatkan kelincahan operasi mereka.

Dalam pelatihan yang dipandu instruktur ini, peserta akan memperoleh pemahaman tentang teknologi, metode, dan pola pikir yang diperlukan untuk mewujudkan transformasi digital dalam organisasi mereka dan industri secara umum. Pelatihan ini ditujukan bagi para manajer yang perlu memperoleh pemahaman gambaran besar, menepis kehebohan dan jargon, serta mengambil langkah awal dalam menetapkan strategi Insurtech.

Pada akhir pelatihan ini, peserta akan dapat:

• Diskusikan Insurtech dan semua bagian komponennya secara cerdas dan sistematis
• Mengidentifikasi dan mengungkap peran masing-masing teknologi kunci dalam Insurtech.
• Buatlah rancangan strategi umum untuk menerapkan Insurtech dalam organisasi mereka

Hadirin

• Perusahaan asuransi
• Teknologis dalam industri asuransi
• Pemangku kepentingan asuransi
• Konsultan dan analis bisnis

Format kursus

• Bagian kuliah, bagian diskusi, latihan dan kegiatan kelompok studi kasus

R adalah bahasa pemrograman gratis sumber terbuka untuk komputasi statistik, analisis data, dan grafik. R digunakan oleh semakin banyak manajer dan analis data di dalam perusahaan dan akademisi. R memiliki beragam paket untuk penambangan data.

Big data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy.

Dalam pelatihan langsung yang dipandu instruktur di Indonesia ini, peserta akan memperoleh pemahaman tentang teknologi, metode, dan pola pikir yang diperlukan untuk menerapkan strategi Fintech.

Pelatihan ini ditujukan bagi para manajer yang perlu memperoleh pemahaman “gambaran besar” tentang Fintech, menghilangkan kesan berlebihan dan jargon-jargon yang tidak jelas, dan mengambil langkah awal yang nyata menuju penerapan teknologi-teknologi baru yang dapat diaplikasikan pada bisnis dan layanan keuangan.

Pada akhir pelatihan ini, peserta akan mampu:

• Menyajikan strategi yang layak Fintech bagi organisasi mereka.
• Memahami dan menjelaskan peran dan fungsi teknologi utama.
• Buatlah rencana aksi untuk memperkenalkan teknologi baru secara bertahap.

Model Based Development (MBD) is a software development methodology that enables faster, more cost-effective development of dynamic systems such as control systems, signal processing and communication systems. It relies on graphic modeling rather than the traditional text based programming.

In this instructor-led, live training participants will learn how to apply MBD methodologies to reduce development costs and accelerate the time to market of their embedded software products.

By the end of this training, participants will be able to

• Select and utilize the right tools for implementing MBD.
• Use MBD to carry out rapid development in the early stages of their embedded software project.
• Shorten the release of their embedded software into the market.

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Tujuan dari kursus ini adalah untuk memungkinkan peserta memperoleh penguasaan tentang cara bekerja dengan bahasa SQL di database Oracle untuk ekstraksi data pada tingkat menengah.

This instructor-led, live training in Indonesia (online or onsite) is aimed at persons who wish to understand requirements analysis and conduct requirements analysis efficiently and accurately using analysis techniques for their projects.

By the end of this training, participants will be able to:

• identify different types of requirements.
• understand the overall concepts of, and activities within, requirements analysis.
• be familiar with the requirements analysis methodology.
• use different requirements analysis techniques to their advantage.
• structure requirements in order to communicate efficiently with architects and developers through an iterative requirement gathering process.

R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining.

This course demonstrates through hands-on practice the fundamentals and applications of software engineering, requirements engineering and testing.

Gohal:

Belajar bekerja dengan SPSS pada tingkat independensi

Para penerima:

Analis, peneliti, ilmuwan, mahasiswa dan semua orang yang ingin memperoleh kemampuan untuk menggunakan paket SPSS dan mempelajari teknik penambangan data yang populer.