Six Sigma White Belt Training Course
Six Sigma is a set of techniques and tools used to improve the quality of process outputs by identifying and removing the causes of defects (errors) and minimizing variability in manufacturing and business processes.
This instructor-led, live training (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.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to Six Sigma
- Overview of Six Sigma
- History and background of Six Sigma
- The importance of Six Sigma in business
- Key concepts and terminology
- The Six Sigma hierarchy
Understanding the DMAIC Process
- Overview of DMAIC (Define, Measure, Analyze, Improve, Control)
- The define phase: Identifying the problem
- The measure phase: Collecting relevant data
- The analyze phase: Identifying root causes
- The improve phase: Implementing solutions
- The control phase: Sustaining improvements
Basic Six Sigma Tools and Techniques
- Introduction to basic Six Sigma tools
- Process mapping and flowcharts
- Cause-and-effect diagrams
- Check sheets and data collection techniques
- Pareto charts
- Introduction to Statistical Process Control (SPC)
Role of a White Belt in Six Sigma Projects
- The role and responsibilities of a White Belt
- Collaborating with Green and Black Belts
- Participating in Six Sigma projects
- Identifying opportunities for improvement
Applying Six Sigma in the Workplace
- Understanding the organizational impact of Six Sigma
- Case studies: Successful Six Sigma projects
- Overcoming common challenges in implementing Six Sigma
- Tips for continuous improvement
Summary and Next Steps
Requirements
- Basic understanding of business processes
Audience
- Managers
- Professionals
Open Training Courses require 5+ participants.
Six Sigma White Belt Training Course - Booking
Six Sigma White Belt Training Course - Enquiry
Six Sigma White Belt - Consultancy Enquiry
Consultancy Enquiry
Testimonials (5)
Variasi dengan latihan dan pertunjukan.
Ida Sjoberg - Swedish National Debt Office
Course - Econometrics: Eviews and Risk Simulator
Machine Translated
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
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 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
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
Upcoming Courses (Minimal 5 peserta)
Related Courses
Algorithmic Trading with Python and R
14 HoursPelatihan 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.
Programming with Big Data in R
21 HoursBig 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.
Introductory R (Basic to Intermediate)
14 HoursPelatihan 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:
- Memahami dasar-dasar R Programming.
- Terapkan proses ilmu data fundamental.
- Membuat representasi visual dari data.
R Fundamentals
21 HoursR 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.
Cluster Analysis with R and SAS
14 HoursThis 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.
Data and Analytics - from the ground up
42 HoursData 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.
Data Analysis with Python, R, Power Query, and Power BI
21 HoursPelatihan 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.
Data Analytics With R
21 HoursR 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
Data Mining with R
14 HoursR 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.
Econometrics: Eviews and Risk Simulator
21 HoursThis 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.
- Utilize Eviews and risk simulators.
HR Analytics for Public Organisations
14 HoursPelatihan 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.
Statistical Analysis using SPSS
21 HoursPelatihan 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.
Talent Acquisition Analytics
14 HoursPelatihan 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.
Introduction to Data Visualization with Tidyverse and R
7 HoursThe 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