Data Mining & Machine Learning with R Training Course

This instructor-led, live training in Indonesia (online or onsite) is aimed at data analysts who wish to program with R in SAS for cluster analysis.

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

• Use cluster analysis for data mining
• Master R syntax for clustering solutions.
• Implement hierarchical and non-hierarchical clustering.
• Make data-driven decisions to help to improve business operations.

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

Pelatihan langsung yang dipandu oleh instruktur ini (online atau onsite) ditujukan bagi analis data dan ilmuwan data yang ingin menerapkan teknik analisis data yang lebih canggih untuk penambangan data menggunakan Python.

Pada akhir pelatihan ini, peserta akan dapat:

• Memahami area-area penting dalam penambangan data, termasuk penambangan aturan asosiasi, analisis sentimen teks, ringkasan teks otomatis, dan deteksi anomali data.
• Membandingkan dan menerapkan berbagai strategi untuk memecahkan masalah penambangan data dunia nyata.
• Memahami dan menginterpretasikan hasilnya. 

Format Kursus

• Ceramah dan diskusi interaktif.
• Banyak latihan dan praktik.
• Implementasi langsung di lingkungan lab langsung.

Opsi Kustomisasi Kursus

• Untuk meminta pelatihan yang disesuaikan untuk kursus ini, silakan hubungi kami untuk mengatur.

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.

Dalam pelatihan langsung yang dipandu instruktur di Indonesia ini, peserta akan mempelajari cara membangun Data Vault.

Pada akhir pelatihan ini, peserta akan dapat:

• Memahami arsitektur dan konsep desain di balik Data Vault 2.0, dan interaksinya dengan Big Data, NoSQL dan AI.
• Gunakan teknik penyimpanan data untuk memungkinkan audit, penelusuran, dan pemeriksaan data historis dalam gudang data.
• Kembangkan proses ETL (Ekstrak, Transformasi, Muat) yang konsisten dan dapat diulang.
• Bangun dan terapkan gudang yang sangat skalabel dan dapat diulang.

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.

This instructor-led, live training in Indonesia (online or onsite) is aimed at data scientists who wish to use Excel for data mining.

• By the end of this training, participants will be able to:
• Explore data with Excel to perform data mining and analysis.
• Use Microsoft algorithms for data mining.
• Understand concepts in Excel data mining.

Pelatihan langsung yang dipandu instruktur di Indonesia (online atau di tempat) ini ditujukan untuk analis data dan ilmuwan data tingkat pemula hingga menengah yang ingin menggunakan Weka untuk melakukan tugas penambangan data.

Pada akhir pelatihan ini, peserta akan dapat:

• Instal dan konfigurasikan Weka.
• Memahami lingkungan dan meja kerja Weka.
• Lakukan tugas penambangan data menggunakan Weka.

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.

Pelatihan daring atau tatap muka ini di Indonesia, yang dipimpin oleh instruktur, ditujukan bagi profesional tingkat pemula yang ingin menguasai dasar-dasar R dan cara bekerja dengan data.

Selesai pelatihan ini, peserta akan dapat:

• Mengerti lingkungan pengembangan R dan antarmuka RStudio.
• Mengimpor, memanipulasi, dan mengeksplorasi dataset menggunakan perintah dan paket R.
• Menjalankan analisis statistik dasar dan ringkasan data.
• Menghasilkan visualisasi menggunakan baik base R maupun ggplot2.
• Memanage workspace, skrip, dan paket dengan efektif.

KNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist and business analyst.

This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows

Pelatihan "Platform Analitik KNIME" menawarkan ikhtisar komprehensif tentang platform analisis data gratis ini. Program ini mencakup pengenalan pemrosesan dan analisis data, instalasi dan konfigurasi KNIME, pembuatan alur kerja, metodologi untuk membuat model bisnis, dan pemodelan data. Kursus ini juga mencakup alat analisis data tingkat lanjut, impor dan ekspor alur kerja, integrasi alat, proses ETL, penambangan data, visualisasi, ekstensi dan integrasi dengan alat seperti R, Java, Python, Gephi, Neo4j. Kesimpulannya mencakup gambaran pelaporan, integrasi dengan BIRT dan KNIME WebPortal.

The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

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

• Perform data analysis and create appealing visualizations
• Draw useful conclusions from various datasets of sample data
• Filter, sort and summarize data to answer exploratory questions
• Turn processed data into informative line plots, bar plots, histograms
• Import and filter data from diverse data sources, including Excel, CSV, and SPSS files

Audience

• Beginners to the R language
• Beginners to data analysis and data visualization

Format of the course

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