Voltar para Estatística básica

estrelas

4,165 classificações

Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics.
In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression.
The second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work.
The third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests.
You will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software....

AD

27 de jun de 2022

Instructors have provided concise explanations of the concepts. There are many examples considered that make statistics easier to understand! Also, the illustrations are fancy. I enjoyed every video!

PG

20 de abr de 2016

This is a nice course...thanks for providing such a great content from University of Amserdam.

Please allow us to complete the course as I have to wait till the session starts for week 2 lessions.

Filtrar por:

por Bank E

•23 de jul de 2020

The instructor failed to explain many parts; such as why we don't use T-distribution for proportion, why use n-1 instead of n in some equations, etc. The discussion forum is sooo quiet, I appreciate some students who try to help other out. R lab is the most annoying part, you barely need any understanding at all; all you need is remembering the function and understand the convention what instructions are telling you (which is so varying or sometimes not telling you and you have to go back to see what it is in the previous questions). I feel R lab is not useful.

por Dafna M

•6 de dez de 2019

Most of the courses didn't feel like basic statistics, they were very hard, plus a lot of the presentations were difficult to understand. I felt that there is a significant disparity between the two lecturers; the way they present the learnt materials is very different. In several times i had a gap and had to look for more information online. This is called "basic statistics" and it felt like i was supposed to start the course with a previous knowledge which i didn't have.

por Mariana O

•9 de jan de 2021

It is a difficult topic to understand on your own, without any support at all from professors. They go too quickly on each topic and it is hard to understand how to use it in practice. Despite the efforts in making attractive and easy to grasp videos (congrats for that), it is unfortunately not a topic for self-learning.

por RosaLin A

•16 de jan de 2021

If you do not already know how to program in R this class is nearly impossible. I have a strong back ground in math and have had basic programming on the college level but could not finish this class. If you want to take this learn R first then take it.

por Hani O

•9 de abr de 2021

I wish the course excludes the R ... time is wasted to implement by R and hence focus on syntax rather than practice on the subject itself which is stats. For example, it can be faster as a learner to implement using a spreadsheet.

por Monica H

•12 de out de 2020

I struggled with understanding the concepts. At the first read, they made sense, but when trying to solve problems they stopped making sense. There were errors in the calculations too, and more examples would have really helped.

por Ante

•15 de dez de 2019

This course is more about learning R-programming which is totally useless for me. The videos are nice. Try instead buying the book and do the excercises with python or excel.

por Andrea F

•29 de dez de 2016

I've only gotten started, but there seems some assumptions made about how much we know and how quickly we can pick up these new terms and ideas.

por Clem O

•25 de fev de 2019

The program is good. The videos not so much. The professors are speaking pretty fast. It would have been good to have some written material.

por yazhini c

•16 de ago de 2016

R labs are too tedious for people with medical or science background! we need explanations rather than trying to figure it out on our own!

por Mayssaa D

•17 de set de 2021

The lecturer is very good but there is no reason putting R language in a basic statistics class.

por Stuart M

•21 de abr de 2021

Unfortunately, this class wasn't useful in teaching me basic statistics.

por Lai J

•29 de abr de 2020

shitty final exam questions. confusion on sample std or population std

por Tobias R A

•23 de mar de 2020

If you don't pay it you can't do anything

por Mayank G

•5 de mai de 2021

Very lenghty R labs to complete

por Ivan C

•7 de jan de 2016

Damn R-Lab

por Gannon O

•29 de jan de 2021

It started off well enough. Loved the visuals. Week 3 probablity was really confusing and my thoughts on the course started to change quickly. The R work helped a little, but I still didn't understand a lot. I feel like forumulas are thrown at you very quickly. It's almost like 'how much can we put into 5 minutes as quickly as possible?'. I'm at the end of week 4 now and quitting. I am not getting much out of this and tired of rewatching videos 5 or 6 times hoping to understand or memorize something. There is probably better use of my time. I will try Duke's version now.

How to improve this? Put some questions after each video. Waiting till the end to give the students some questions which causes them to go back and replay all those 'super fast' videos again - Feels a bit lazy as way to teach. Maybe its me.

Can someone on Coursera just simply teach stats without trying to tie in a programming language? Since its obvious by now, you guys can't teach both well in one course how about just focusing on one well? (I'm looking at you Stats w/ Python Univ of Michigan).

por Kleuber R A

•20 de mai de 2021

The fact of aborting the subjects in a very fast and superficial way leaves something to be desired and ends up generating a lot of confusion both in the course and in the programming part. I would need more examples and activities so that knowledge could be absorbed more easily and intuitively. There are some calculation errors in the videos and the lack of some references associated with tables Z and T that generate a lot of doubts and confusion. Anyway, I expected the course to be more organized.

por Alyxx S B

•27 de jun de 2020

The information was amusing sometimes, but the first 2 chapters are sexist. That aside - the "R Lab" is not relevant to the class. Also, the order is backwards - all the interesting theory parts are the last 3 chapters!

por Muhammad U Q

•16 de nov de 2020

R Labs are a total waste and these should not be the part of the course as we are not here for the programming language, the sole purpose was to learn basic statistic not some programming language. going to unroll

por Assad N

•6 de out de 2020

please write the requirement necessary to complete this course, one can chose if he is capable of doing the lab. although statistics is basic but i wonder the computer skills are not.......

por Robert W v Z

•5 de mai de 2021

No interest in or use for R, ever. Moving to another course on statistics that does not require silly programming.

por Iván A

•20 de mai de 2020

It should be named 'Basic', or say that it doesn't require previous knowledge because it does.

por Deleted A

•2 de mar de 2021

Very long and I was feeling unmotivated to complete the course

por Anshika C

•26 de set de 2020

i want to unenroll from the course, I am not able to do it.

- Analista de dados do Google
- Gestão de projetos no Google
- Design de UX no Google
- Suporte de TI do Google
- Ciência de dados da IBM
- Analista de dados da IBM
- Análise de dados da IBM com Excel e R
- Analista de Cibersegurança da IBM
- Engenharia de dados da IBM
- Desenvolvedor de nuvem full stack – IBM
- Marketing em mídias sociais do Facebook
- Análise de marketing do Facebook
- Representante de desenvolvimento de vendas da Salesforce
- Operações de vendas da Salesforce
- Contabilidade da Intuit
- Preparação para a Certificação em Google Cloud: Cloud Architect
- Preparação para a Certificação em Google Cloud: Cloud Data Engineer
- Inicie sua carreira
- Prepare-se para uma Certificação
- Amplie suas qualificações profissionais

- cursos gratuitos
- Aprenda um idioma
- pythonpython
- Java
- web designweb design
- SQL
- Cursos grátis
- Microsoft Excel
- Gestão de projetos
- Segurança cibernéticaSegurança Cibernética
- Recursos humanos
- Cursos gratuitos de ciência de dados
- falar inglês
- Redação de conteúdo
- Desenvolvimento Web completoDesenvolvimento Web Completo
- Inteligência artificial
- Programação em C
- Habilidades de comunicação
- Blockchain
- Veja todos os cursos

- Competências para equipes de ciência de dados
- Tomada de Decisões Baseada em Dados
- Habilidades de engenharia de software
- Habilidades Pessoais para Equipes de Engenharia
- Habilidades Administrativas
- Habilidades de marketing
- Habilidades para Equipes de Vendas
- Habilidades de Gerente de Produto
- Habilidades Financeiras
- Cursos de ciência de dados populares no Reino Unido
- Beliebte Technologiekurse in Deutschland
- Certificações populares de segurança cibernética
- Certificações populares de TI
- Certificações populares de SQL
- Guia de carreira de gerente de marketing
- Guia de carreira de gerente de projeto
- Habilidades de programação em Python
- Guia de carreira de desenvolvedor Web
- Competências de análise de dados
- Habilidades para designers de UX

- Certificados MasterTrack®
- Certificados profissionais
- Certificados universitários
- Graduações em negócios e MBA
- Graduações em Ciência de Dados
- Graduações em Ciência da Computação
- Graduações em análise de dados
- Graduações em Saúde Pública
- Graduações em ciências sociais
- Graduações em gestão
- Graduações nas melhores universidades europeias
- Mestrados
- Bacharelados
- Graduações com uma trajetória de desempenho
- Cursos em Ciências (BSc)
- O que é uma licenciatura?
- Quanto tempo leva um mestrado?
- Um MBA on-line vale a pena?
- 7 maneiras de pagar pela pós-graduação
- Ver todos os certificados