Voltar para Data Analytics for Lean Six Sigma

4.8

estrelas

1,965 classificações

•

700 avaliações

Welcome to this course on Data Analytics for Lean Six Sigma.
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. I 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.
I hope that you enjoy this course and good luck!
Dr. Inez Zwetsloot & the IBIS UvA team...

HA

Jul 15, 2020

Love it!! I haven't been this much confident with statistical analysis and hypothesis testing. I like this learning material as its practical (the cases and scenarios) part was very helpful. Thank you

RM

Apr 30, 2017

An amazing course .Very crisp and clear. Thank you Dr.Inez for making learning so much easier and fun.Examples gave a better understanding.I'm sure I'll be able to apply it in my research. Thank you.

Filtrar por:

por Akshat K

•Apr 20, 2018

The course contents are amazing and so is the delivery and articulation of Dr. Inez. Before this course, I completed several courses on Lean six sigma, but the way Dr Inez has structurally explained each step is excellent. However, I felt that there should be more content in this course because it's quite addicting.

If you are a new learner, I would suggest you to opt for this course without any second thought. Go for it!

Also, I request the course staff to provide a zip file including all lecture videos and assignments because I want to keep the contents forever with me. Thank you for this course and please come up with a similar, but advanced, version of this course.

por Brenda C R

•Jun 26, 2019

I love how they give the information and explained, they give the essential and as non native english speaker I appreciate that what she said it's also written.

por Radha M

•Apr 30, 2017

An amazing course .Very crisp and clear. Thank you Dr.Inez for making learning so much easier and fun.Examples gave a better understanding.I'm sure I'll be able to apply it in my research. Thank you.

por Bujor D I

•Mar 17, 2018

The course is well taught, to the extent that offers a good overview of statistics, in general, and of Minitab, in particular.

Regarding Minitab, not all of the students of this course are students at University, so not all are entitled to acquire an academic license of Minitab – an option that is effective and affordable. I graduated a long time ago, which means that a license fee of US$1800 is prohibitive.

I understand that Minitab “speaks” Lean Six Sigma and Quality, but could it be that there is a version of this course taught in Microsoft Excel? At least, Microsoft Excel is everywhere.

por Jekin T

•Nov 19, 2017

As a professional who want to do justice to the organizational problems through lean six sigma concept. Once must have understanding of data and its analysis with respect to six sigma. I am really glad to attend the course which is designed in such a way that once can easily co-relate and understand with his or her day to day problems. I would like thank Inez Zwetsloot and University of Amsterdam.

por Eric M

•Oct 15, 2017

Really great course with relevant industry examples. Very good explanation of the course content and the modules are well presented by the video professor Dr. Inez M. Zwetsloot. The course material is perfect for helping students to understand the learning objectivesI would definitely recommend this course to anyone who wants to learn about Data Analytics for Lean Six Sigma. Eric Mwambaji

por Rishi

•Aug 04, 2019

Such a wonderful start for a people trying to improve their knowledge in basics analytics especially with Minitab. I would recommend this for all the people working with manufacturing sector. I was doing my intern when i took this course and this helped me a lot to boost my knowledge added with the hands on experience in the Intern. Thank you so much for this perfectly designed course.

por Abd E M G

•Aug 04, 2017

It is wonderful course, how amazing to simplify the course using examples, also those examples was real like what we met everyday so we easy to train easily....... also the professor use few examples and i think that is good point to let us use most analysis for one issue like our expenses monthly or fuel consumption..................... i like this course and thank you Inez Zwetsloot

por Vijay k

•Aug 31, 2018

Thank you Madam I have enjoyed the whole course. The way you explained the concepts with the help of case studies and hands on session in Minitab it was amazing experience. I am ready to take next course of your(related to this field). I am planning to introduce this whole course to my students. Hence I need PPT of this course. Kindly help me to achieve the same. Thanking you

por Dr F H S I

•Feb 09, 2020

Dr. Inez Zwetsloot is a superb professor. She has an outstanding command of the subject matter and effectively conveys her knowledge. Dr. Zwetsloot made the course most enjoyable. I would highly recommend it to anyone interested in brushing up on Minitab or to anyone who might be contemplating an introductory course in statistics.

por Ravindra A G

•Feb 11, 2019

This course helps me in understanding data analysis through statistical data analysis concept for lean six sigma project. The Minitab was introduced very well to new users like me. I recommend this course for beginners who want to understand data analysis concepts. Thanks.

por Márcia C S M L

•Jul 05, 2020

The course is very very good. Focused on pratice, it explains the methods of statistical analysis for Lean Six Sigma Projects. The examples are very clear and support the learning lessons. If you want to learn clearly and objectively, I really recommend this course.

por KIRANSAIKUMAR S

•Mar 06, 2018

It's a good course for Beginner. I would highly recommend for Starters.

Instructor good at all concepts. She explained every concept with a related example. Exercises are really helpful.

Course structure is in proper order.

por Hadeel A

•Jul 15, 2020

Love it!! I haven't been this much confident with statistical analysis and hypothesis testing. I like this learning material as its practical (the cases and scenarios) part was very helpful. Thank you

por Raghavendhraa K

•Jul 02, 2017

Amazing course to refresh the statistical knowledge especially if you wish you take up Lean Six Sigma career path. It gave me enough time and chance to prepare and learn. It is a must for everyone.

por kelechi J

•Aug 05, 2019

I really learnt a lot from this course. Being a process engineer requires continuous process optimization, thus this course aided to my analytical skills in handling chemical engineering projects.

por Carlo L B

•Jun 14, 2019

The course is very educational and a must for all data analyst professionals. The materials and topics are clearly explained. Also, the examples in the lessons make it easier to understand.

por Polas R P

•Apr 21, 2020

The faculty is having excellent knowledge. This course has given equal importance to both theoretical knowledge and practical examples so that it is easy to grasp questions. Each and every concept is well covered with a suitable question in the quizzes. Questions are so designed that even if you don't have Minitab software, you can answer those questions. The exercise questions are very helpful to answer the quizzes.

The only point which I felt is, some of the questions were not answered in the discussion forum.

por priya k

•Jun 06, 2020

If you are aware of Data Analytics techniques but don't know which technique is suitable for a specific situation- then this course is for you. Very few books and online courses can explain this using minimal mathematical (difficult terms) and maximum real-life examples with just the right amount of statistics and probability. You need not be a statistics wizard to learn Data Analytics- this course lets you believe that! Kudos to the instructor for explaining everything in such a simplified manner.

por Vasiliki K

•Apr 02, 2018

Thank you very much! I really enjoyed this course. Very well explained and thorough videos and MiniTab is an excellent tool to use. I really liked that videos are not too long giving you the opportunity to watch them twice if needed, with excellent examples to understand it practically and practising exercises at the end that were really helpful to make sure you understand the topics. Keeping notes helped me but it is really easy to re-find some by re-watching the videos. Amazing course!!

por FERNANDO C

•Jan 06, 2020

I am currently Black belt, so I have taken so many statistics courses and I know a bunch of tools of Data analysis, Nevertheless in this course I have seen the data since other perspective, really good examples and exercises to help you understand the theory. So I am totally satisfied with the curse I just take, I learned a lot and I want to thank to the Dr,

inez zwetsloot for her knowledge and the skill to teach the way to analyze data. I will take another course with you definitely

por Sathishkumar K

•May 08, 2020

By this coarse of Data analytics from Lean Six Sigma training from where the clear method to improve performance by systematically removing waste and reducing variation has been learnt completely. ... Lean Six Sigma not only reduces process defects and waste, but also provides a framework for overall organizational culture change. So it is a very great learning with illustrations and examples are quoted and the coarse is very useful for my day to day working in the organization.

_{}^{}

por Joydeep K

•Jul 01, 2020

This is a highly recommended course for anyone who wants to learn the basics of statistical methods and testing techniques and also a very good refresher course for the people who already knew it in the past but don't use it on a regular basis. I am really glad that I chose to do this and it helped me recall a lot of fundamental statistical concepts.

Thank you Professor Inez for covering each topic in great depth with all the examples and demos in Minitab. :)

por Sunny-Kim B

•Dec 05, 2019

Very clear overview of data analysis to ID problem areas and statistical tools to determine/diagnose QA issues. This course was valuable in that it reviewed basic statistics in a simplified manner! If I didn't have any background in statistics, I think this course would have been more challenging, Regardless, the course is very logically laid out and the instructor provides a lot of real-world applications demonstrating the data analysis. Great course.

por Damika S

•Aug 26, 2017

I enjoyed this course very much. The videos were well done, and the examples quite relevant. I might re-think the video on the pregnancy duration, for the sake that people may take offence. I did upon first seeing it, but I do understand the main idea of the project, except for the lack of diversity on the screen until that project was presented. I do appreciate all the efforts and ease of getting to the files along with provided solution explanations.

- Como encontrar propósito e sentido na vida
- Compreendendo a pesquisa médica
- Japonês para iniciantes
- Introdução à computação em nuvem
- Fundamentos de Mindfulness
- Fundamentos de Finanças
- Aprendizagem Automática
- Aprendizagem automática usando o Sas Viya
- A ciência do bem-estar
- Rastreamento de Contato com a Covid-19
- IA para todos
- Mercados Financeiros
- Introdução à Psicologia
- Introdução à AWS
- Marketing internacional
- C++
- Análise Preditiva e Mineração de Dados
- Aprendendo a Aprender da UCSD
- Programação para todos da Universidade do Michigan
- Linguagem R da JHU
- Treinamento de CPI do Google CBRS

- Processamento da Linguagem Natural (PLN)
- IA para Medicina
- Bom com palavras: escrita e edição
- Modelagem de doenças infecciosas
- A pronúncia do inglês americano
- Automatização de teste de software
- Aprendizagem profunda
- Python para todosPython para todos
- Ciência de Dados
- Fundamentos de negóciosFundamentos dos Negócios
- Habilidades em Excel para negócios
- Ciência de Dados com Python
- Finanças para todos
- Habilidades de comunicação para engenheiros
- Treinamento de vendas
- Desenvolvimento e gestão de marca pessoal
- Análise de Dados de Negócios da Wharton
- Psicologia Positiva da Universidade da Pensilvânia
- Aprendizagem Automática da Universidade de Washington
- Design Gráfico da CalArts

- Certificados profissionais
- Certificados MasterTrack
- Suporte de TI do Google
- Ciência de dados da IBM
- Engenharia de Dados do Google Cloud
- IA aplicada da IBM
- Arquitetura do Google Cloud
- Analista de Cibersegurança da IBM
- Automação da TI do Google com Python
- Profissional de Mainframe do IBM z/OS
- Gestão aplicada de projetos da UCI
- Certificado em Design Instrucional
- Certificado em Engenharia e Gerenciamento de Construção
- Certificado de Big Data
- Certificado de Aprendizagem Automática em Análise de Dados
- Certificado em Gestão de Inovação e Empreendedorismo
- Certificado de Sustentabilidade e Desenvolvimento
- Certificado de Serviço Social
- Certificado de IA e Aprendizagem Automática
- Certificado de Análise e Visualização de Dados Espaciais

- Graduações em Ciência da Computação
- Graduações em Negócios
- Graduações em Saúde Pública
- Graduações em Ciência de Dados
- Bacharelados
- Bacharelado em Ciência da Computação
- Mestrado em Engenharia Elétrica
- Conclusão de bacharelado
- Mestrado em Gestão
- Mestrado em Ciência da Computação
- Mestrado em Saúde Pública
- Mestrado em Contabilidade
- Mestrado em Tecnologia da Computação e da Informação
- MBA On-line
- Mestrado em Ciência de Dados Aplicada
- MBA Global
- Mestrado em Inovação e Empreendedorismo
- Mestrado em Ciência de Dados
- Mestrado em Ciência da Computação
- Mestrado em saúde pública