Kursus pelatihan langsung Statistics yang dipimpin instruktur atau daring menunjukkan melalui diskusi interaktif dan praktik langsung bagaimana menerapkan prinsip-prinsip Statistik dalam pemecahan masalah dunia nyata. Statistics pelatihan tersedia sebagai "pelatihan langsung online" atau "pelatihan langsung di lokasi". Pelatihan langsung online (alias "pelatihan langsung jarak jauh") dilakukan melalui desktop jarak jauh yang interaktif. Pelatihan langsung di lokasi dapat dilakukan secara lokal di lokasi pelanggan di Indonesia atau di pusat pelatihan perusahaan NobleProg di Indonesia. NobleProg -- Penyedia Pelatihan Lokal Anda
Pelatihan langsung yang dipimpin instruktur di Indonesia (online atau di lokasi) ditujukan untuk insinyur dan desainer tingkat menengah yang ingin menggunakan DFSS untuk memastikan bahwa kualitas tertanam dalam produk atau proses sejak awal tahap desain.
Pada akhir pelatihan ini, peserta akan mampu:
Memahami prinsip dan konsep Design Six Sigma (DFSS).
This instructor-led, live training in Indonesia (online or onsite) is aimed at advanced-level professionals who wish to gain an in-depth understanding of the Six Sigma DMAIC methodology at a Black Belt level.
By the end of this training, participants will be able to:
Develop a comprehensive understanding of the Define, Measure, Analyze, Improve, and Control phases with a focus on complex projects.
Gain expertise in advanced statistical analysis techniques for data-driven decision-making.
Lead large-scale Six Sigma projects and manage project teams effectively.
Implement significant process improvements that align with organizational goals and strategies.
This instructor-led, live training in Indonesia (online or onsite) is aimed at intermediate-level professionals who wish to have a comprehensive understanding of the DMAIC methodology and prepare for the role of an effective Six Sigma Green Belts.
By the end of this training, participants will be able to:
Gain a thorough knowledge of the Define, Measure, Analyze, Improve, and Control phases of Six Sigma.
Apply a wide range of Six Sigma tools and techniques effectively within each phase of DMAIC.
Perform and interpret statistical analyses for process improvement.
Pelatihan berorientasi instruktur secara langsung di Indonesia (daring atau tatap muka) ini ditujukan bagi profesional tingkat pemula yang ingin memahami prinsip-prinsip dasar Six Sigma dan Lean untuk mengintegrasikannya dan meningkatkan proses bisnis.
Selesai pelatihan ini, peserta akan dapat:
Mendapatkan pemahaman yang kuat tentang prinsip-prinsip Six Sigma Lean.
Menggunakan metodologi Six Sigma untuk meningkatkan kualitas proses dengan menghilangkan penyebab cacat dan meminimalkan variabilitas.
Menyelaraskan metodologi Lean dan Six Sigma untuk mencapai peningkatan proses yang lebih efisien dan efektif.
Mengajarkan alat dan teknik dasar Lean Six Sigma yang dapat diterapkan oleh Yellow Belts dalam proyek perbaikan proses, seperti 5S, Kaizen, dan pemetaan proses.
This instructor-led, live training in Indonesia (online or onsite) is aimed at intermediate-level professionals who wish to understand both Six Sigma and Lean principles in order to lead significant process improvement projects in their organizations.
By the end of this training, participants will be able to:
Develop a comprehensive understanding of how Lean and Six Sigma methodologies can be integrated for process improvement.
Gain in-depth knowledge and application skills in the Define, Measure, Analyze, Improve, and Control phases.
Apply advanced statistical tools for data-driven decision-making and process analysis.
Lead and manage Lean Six Sigma projects effectively.
Pelatihan langsung yang dipandu instruktur di Indonesia (online atau di tempat) ini ditujukan untuk profesional tingkat pemula yang ingin membersihkan dan menganalisis data, membuat proyeksi statistik, dan membuat visualisasi mendalam menggunakan alat ini.
Pada akhir pelatihan ini, peserta akan dapat:
Memahami dasar-dasar Python, R, Power Query, dan Power BI untuk analisis data.
Bersihkan dan atur kumpulan data menggunakan Python dan Power Query.
Lakukan analisis statistik dan proyeksi dengan R.
Buat dasbor dan laporan profesional dengan Power BI.
Integrasikan dan analisis data dari berbagai sumber secara efektif.
This instructor-led, live training in Indonesia (online or onsite) is aimed at advanced-level professionals who wish to gain the skills to handle complex Six Sigma projects and take a leadership role in Six Sigma and Lean implementations.
By the end of this training, participants will be able to:
Develop an in-depth understanding of advanced Six Sigma and Lean methodologies and tools.
Lead complex process improvement projects that align with organizational strategies.
Perform complex statistical analyses and make data-driven decisions.
Effectively lead change initiatives and build a culture of continuous improvement.
This instructor-led, live training in Indonesia (online or onsite) is aimed at beginner-level professionals who wish to have a deeper understanding of the Six Sigma methodology and its principles and master the DMAIC process.
By the end of this training, participants will be able to:
Gain knowledge beyond the basic principles covered in the White Belt course.
Master the DMAIC process and learn advanced Six Sigma tools.
Learn how to effectively contribute to a Six Sigma project team and collaborate with Green and Black Belts.
Apply Six Sigma methodologies to real-world business processes for improvement.
This instructor-led, live training in Indonesia (online or onsite) is aimed at beginner-level professionals who wish to have a basic understanding of the Six Sigma methodology and its principles.
By the end of this training, participants will be able to:
Understand the basics of Six Sigma and learn the DMAIC process.
Understand the specific roles and responsibilities of a White Belt in the context of a Six Sigma project.
Learn how to apply Six Sigma principles to identify improvement opportunities and support Six Sigma projects within an organization.
This instructor-led, live training in Indonesia (online or onsite) is aimed at scientists who wish to learn and use the Design of Experiments (DoE) to understand the cause-and-effect relationship between multiple factors.
By the end of this training, participants will be able to:
Understand the advantages of designed experiments over other approaches.
Understand the cause-and-effect relationships and interactions between factors.
Learn the best practices and guidelines for conducting successful experimentation.
This instructor-led, live training in Indonesia (online or onsite) is aimed at anyone who wishes to learn and master the fundamentals of econometric analysis and modeling.
By the end of this training, participants will be able to:
Learn and understand the fundamentals of econometrics.
R adalah lingkungan sumber terbuka yang sangat populer untuk komputasi statistik, analisis data, dan grafik. Kursus ini memperkenalkan bahasa pemrograman R kepada siswa. Kursus ini mencakup dasar-dasar bahasa, pustaka, dan konsep tingkat lanjut. Analisis data tingkat lanjut dan pembuatan grafik dengan data dunia nyata.
Hadirin
Pengembang / analisis data
Lamanya
3 hari
Format
Kuliah dan Praktik
Audience
Analysts, researchers, scientists, graduates and students and anyone who is interested in learning how to facilitate statistical analysis in Microsoft Excel.
Course Objectives
This course will help improve your familiarity with Excel and statistics and as a result increase the effectiveness and efficiency of your work or research.
This course describes how to use the Analysis ToolPack in Microsoft Excel, statistical functions and how to perform basic statistical procedures. It will explain what Excel limitation are and how to overcome them.
Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to questions:
What has happened?
processing and analyzing data
producing informative data visualizations
What will happen?
forecasting future performance
evaluating forecasts
What should happen?
turning data into evidence-based business decisions
optimizing processes
The course itself can be delivered either as a 6 day classroom course or remotely over a period of weeks if preferred. We can work with you to deliver the course to best suit your needs.
Pelatihan langsung yang dipimpin instruktur (online atau di lokasi) ini ditujukan untuk profesional SDM dan spesialis rekrutmen yang ingin menggunakan metode analitis untuk meningkatkan kinerja organisasi. Mata kuliah ini mencakup pendekatan kualitatif, kuantitatif, empiris dan statistik.
Format Kursus
Ceramah dan diskusi interaktif.
Banyak latihan dan latihan.
Opsi Kustomisasi Kursus
Untuk meminta pelatihan khusus untuk kursus ini, silakan hubungi kami untuk mengaturnya.
Audience
Financial or market analysts, managers, accountants
Course Objectives
Facilitate and automate all kinds of financial analysis with Microsoft Excel
Pelatihan langsung yang dipimpin instruktur (online atau di lokasi) ini ditujukan bagi para profesional HR yang ingin menggunakan metode analitis untuk meningkatkan kinerja organisasi. Mata kuliah ini mencakup pendekatan kualitatif, kuantitatif, empiris dan statistik.
Format Kursus
Ceramah dan diskusi interaktif.
Banyak latihan dan latihan.
Opsi Kustomisasi Kursus
Untuk meminta pelatihan khusus untuk kursus ini, silakan hubungi kami untuk mengaturnya.
Gohal:
Menguasai keterampilan bekerja secara mandiri dengan program SPSS untuk penggunaan tingkat lanjut, kotak dialog, dan sintaksis bahasa perintah untuk teknik analisis yang dipilih.
Para penerima:
Analis, peneliti, ilmuwan, mahasiswa, dan semua orang yang ingin memperoleh kemampuan untuk menggunakan paket SPSS dan tingkat lanjut serta mempelajari model statistik terpilih. Pelatihan ini mengambil masalah analisis universal dan didedikasikan untuk industri tertentu
Pelatihan langsung yang dipimpin instruktur dalam Indonesia (online atau di tempat) ini ditujukan untuk analis bisnis yang ingin mengotomatiskan perdagangan dengan perdagangan algoritmik, Python, dan R.
Pada akhir pelatihan ini, peserta akan dapat:
Gunakan algoritma untuk membeli dan menjual sekuritas pada kenaikan khusus dengan cepat.
Kurangi biaya yang terkait dengan perdagangan menggunakan perdagangan algoritmik.
Pantau harga saham dan lakukan perdagangan secara otomatis.
Hadirin:
Kursus ini ditujukan untuk spesialis TI yang mencari solusi untuk menyimpan dan memproses kumpulan data besar dalam lingkungan sistem terdistribusi
Gohal:
Pengetahuan mendalam tentang administrasi cluster Hadoop.
This instructor-led, live training in Indonesia (online or onsite) is aimed at intermediate-level data scientists and statisticians who wish to prepare data, build models, and apply machine learning techniques effectively in their professional domains.
By the end of this training, participants will be able to:
Understand and implement various Machine Learning algorithms.
Prepare data and models for machine learning applications.
Conduct post hoc analyses and visualize results effectively.
Apply machine learning techniques to real-world, sector-specific scenarios.
Big Data is a term that refers to solutions destined for storing and processing large data sets. Developed by Google initially, these Big Data solutions have evolved and inspired other similar projects, many of which are available as open-source. R is a popular programming language in the financial industry.
Pelatihan langsung yang dipandu instruktur di Indonesia (online atau di tempat) ini ditujukan untuk analis data tingkat pemula yang ingin menggunakan pemrograman R untuk memanipulasi data, melakukan analisis data dasar, dan membuat visualisasi yang menarik untuk wawasan.
Pada akhir pelatihan ini, peserta akan dapat:
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 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.
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.
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.
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.
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.
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.
Kursus ini ditujukan bagi mereka yang sudah memiliki latar belakang dalam ilmu data dan statistik. Penjelasan yang diberikan dirancang untuk mengingatkan mereka yang sudah familier dengan konsep tersebut atau memberi informasi kepada mereka yang memiliki latar belakang yang sesuai.
Pelatihan langsung yang dipimpin instruktur di Indonesia (online atau di lokasi) ditujukan untuk ilmuwan data yang ingin memprogram dalam Python dan R untuk KNIME.
Pada akhir pelatihan ini, peserta akan mampu:
Merencanakan, membangun, dan menerapkan model pembelajaran mesin di KNIME.
Pelatihan “Mathematica - pengenalan, visualisasi dan penyajian data” ditujukan bagi peserta yang memiliki pengetahuan dasar matematika. Mathematica, sebagai mesin matematika yang kuat, memungkinkan penghitungan yang efektif, membuat dokumen teks, membuat bagan, dan menyajikan data. Peserta akan mendapatkan keterampilan praktis dalam bekerja dengan Mathematica, yang digunakan antara lain, dalam matematika, fisika, biologi, analisis keuangan dan bidang lainnya.
Audience
Business owners (marketing managers, product managers, customer base managers) and their teams; customer insights professionals.
Overview
The course follows the customer life cycle from acquiring new customers, managing the existing customers for profitability, retaining good customers, and finally understanding which customers are leaving us and why. We will be working with real (if anonymous) data from a variety of industries including telecommunications, insurance, media, and high tech.
Format
Instructor-led training over the course of five half-day sessions with in-class exercises as well as homework. It can be delivered as a classroom or distance (online) course.
The course is aimed at anyone interested in statistical analysis. It provides familiarity with Minitab and will increase the effectiveness and efficiency of your data analysis and improve your knowledge of statistics.
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.
Scilab is a well-developed, free, and open-source high-level language for scientific data manipulation. Used for statistics, graphics and animation, simulation, signal processing, physics, optimization, and more, its central data structure is the matrix, simplifying many types of problems compared to alternatives such as FORTRAN and C derivatives. It is compatible with languages such as C, Java, and Python, making it suitable as for use as a supplement to existing systems.
In this instructor-led training, participants will learn the advantages of Scilab compared to alternatives like Matlab, the basics of the Scilab syntax as well as some advanced functions, and interface with other widely used languages, depending on demand. The course will conclude with a brief project focusing on image processing.
By the end of this training, participants will have a grasp of the basic functions and some advanced functions of Scilab, and have the resources to continue expanding their knowledge.
Audience
Data scientists and engineers, especially with interest in image processing and facial recognition
Format of the course
Part lecture, part discussion, exercises and intensive hands-on practice, with a final project
Pelatihan langsung yang dipandu instruktur di Indonesia (online atau di tempat) ini ditujukan untuk profesional tingkat pemula hingga menengah yang ingin melakukan analisis statistik menggunakan SPSS untuk menginterpretasikan data secara akurat, menjalankan uji statistik yang kompleks, dan menghasilkan wawasan yang berarti. Pada akhir pelatihan ini, peserta akan dapat:
Navigasi antarmuka SPSS dan kelola kumpulan data secara efisien.
Melakukan analisis statistik deskriptif dan inferensial.
Melakukan uji-t, ANOVA, MANOVA, regresi, dan analisis korelasi.
Terapkan pengujian non-parametrik, analisis komponen utama, dan analisis faktor untuk interpretasi data tingkat lanjut.
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.
This course has been created for decision makers whose primary goal is not to do the calculation and the analysis, but to understand them and be able to choose what kind of statistical methods are relevant in strategic planning of the organization.
For example, a prospect participant needs to make decision how many samples needs to be collected before they can make the decision whether the product is going to be launched or not.
If you need longer course which covers the very basics of statistical thinking have a look at 5 day "Statistics for Managers" training.
Kursus ini dibuat untuk mereka yang membutuhkan keterampilan statistik umum. Kursus ini dapat disesuaikan dengan bidang keahlian tertentu seperti riset pasar, biologi, manufaktur, riset sektor publik, dll...
Kursus pelatihan ini mencakup statistik tingkat lanjut. Kursus ini menjelaskan sebagian besar alat yang umum digunakan dalam penelitian, analisis, dan peramalan. Kursus ini memberikan penjelasan singkat tentang teori di balik rumus.
Kursus ini tidak terkait dengan bidang pengetahuan tertentu, tetapi dapat disesuaikan jika semua peserta memiliki latar belakang dan tujuan yang sama.
Beberapa alat komputer dasar digunakan selama kursus ini (terutama Excel dan OpenOffice)
Kursus ini bertujuan untuk memberikan para peneliti pemahaman tentang prinsip-prinsip desain dan analisis statistik serta relevansinya dengan penelitian dalam berbagai disiplin ilmu.
Pelatihan ini mencakup beberapa metode probabilitas dan statistik, terutama melalui contoh. Pelatihan ini berisi sekitar 30% kuliah, 70% kuis terbimbing, dan laboratorium.
Dalam kasus kursus tertutup, kami dapat menyesuaikan contoh dan materi dengan cabang tertentu (seperti tes psikologi, sektor publik, biologi, genetika, dll...)
Dalam kasus kursus umum, contoh campuran digunakan.
Meskipun berbagai perangkat lunak digunakan selama kursus ini (Microsoft Excel untuk SPSS, Statgraphics, dll ...) fokus utamanya adalah pada pemahaman prinsip dan proses yang memandu penelitian, penalaran dan kesimpulan.
Kursus ini dapat disampaikan sebagai kursus campuran, yakni dengan pekerjaan rumah dan tugas.
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
Lingkungan terintegrasi Sistem Wolfram menjadikannya alat yang efisien untuk menganalisis dan menyajikan data. Kursus ini mencakup aspek Bahasa Wolfram yang relevan dengan analitik, termasuk komputasi statistik, visualisasi, impor dan ekspor data, serta pembuatan laporan otomatis.
Pelatihan langsung yang dipimpin instruktur dalam Indonesia (online atau di tempat) ini ditujukan untuk analis data tingkat menengah dan profesional bisnis yang ingin melakukan peramalan deret waktu dan mengotomatiskan alur kerja analisis data menggunakan R. Pada akhir pelatihan ini, peserta akan dapat:
Memahami dasar-dasar teknik peramalan di R.
Terapkan pemulusan eksponensial dan model ARIMA untuk analisis deret waktu.
Manfaatkan paket 'forecast' untuk menghasilkan model peramalan yang akurat.
Otomatisasi alur kerja peramalan untuk aplikasi bisnis dan penelitian.
Format of the course
on-line instruction and discussion OR face-to-face workshops
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Testimonials(25)
Variasi dengan latihan dan pertunjukan.
Ida Sjoberg - Swedish National Debt Office
Course - Econometrics: Eviews and Risk Simulator
Machine Translated
itu informatif dan bermanfaat
Brenton - Lotterywest
Course - Building Web Applications in R with Shiny
Machine Translated
Many examples and exercises related to the topic of the training.
Tomasz - Ministerstwo Zdrowia
Course - Advanced R Programming
the trainer had patience, and was eager to make sure we all understood the topics, the classes were fun to attend
Mamonyane Taoana - Road Safety Department
Course - Statistical Analysis using SPSS
Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.
Julia Kuczma - DLA Piper GSC Poland Sp. z o.o.
Course - Tableau Intermediate Training Course
Day 1 and Day 2 were really straight forward for me and really enjoyed that experience.
Mareca Sithole - Africa Health Research Institute
Course - R Fundamentals
The tips for many of the functions that the trainer presented, which we can easily remember and implement in our future work
Emilija Stoilova - EPFL HBP PCO
Course - Analysing Financial Data in Excel
Machine learning, python, data manipulation
Siphelo Mapolisa - University Of South Africa
Course - Data Science: Analysis and Presentation
1.The presentation style of Mr. Andrew, engaging with the style of audience.
MUHAMMAD ZAID SALMAN - GAS MALAYSIA DISTRIBUTION SDN BHD
Course - Market Forecasting
The fact he had dif excel and data sheets with exercises for us to do.
Deepakie Singh Sodhi - Queens College, CUNY
Course - Excel For Statistical Data Analysis
that i was getting my all answers and knowledge i want.
Ismail Ahli - Dubai Civil Aviation Authority
Course - R for Statistical Analysis
I genuinely enjoyed the hands passed exercises.
Yunfa Zhu - Environmental and Climate Change Canada
Course - Foundation R
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
The fact that we had the time to cover some useful extras.
Alina Vishniakova - TUI Business Services GmbH
Course - Statistics Level 1
the matter was well presented and in an orderly manner.
Marylin Houle - Ivanhoe Cambridge
Course - Introduction to R with Time Series Analysis
It was very informative and professionally held. Wojteks knowledge level was so advanced that he could basically answer any question and he was willing to put effort into fitting the training to my personal needs.
Sonja Steiner - BearingPoint GmbH
Course - R Programming for Data Analysis
I really enjoyed the knowledge of the trainer.
Stephanie Seiermann
Course - R
Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
A lot of knowledge - theoretical and practical.
Anna Alechno
Course - Forecasting with R
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Tamil was held up helping other people, I could crack on with the next parts.
Luke Pontin
Course - Data and Analytics - from the ground up
The flexible and friendly style. Learning exactly what was useful and relevant for me.
Jenny
Course - Advanced R
I genuinely was benefit from the flexibility of the trainer.
Irina Ostapenko
Course - Statistics Level 2
I liked the new insights in deep machine learning.
Josip Arneric
Course - Neural Network in R
I mostly liked the trainer giving real live Examples.
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