Вернуться к Basic Statistics

4.6

звезд

Оценки: 3,115

•

Рецензии: 806

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....

Apr 21, 2016

This is a nice course...thanks for providing such a great content from University of Amserdam.\n\nPlease allow us to complete the course as I have to wait till the session starts for week 2 lessions.

Aug 06, 2016

One of the best courses of statistics for the beginners. The concepts are well explained, the learning path well researched and above everything the R labs were ideal for the beginners.

Фильтр по:

автор: Avipsa A

•May 18, 2020

I am planning to get my Masters in Data Science, and taking this course does make me feel a lot more confident in Statistics. I had no background on Statistics but the videos and assignments made it easy yet challenging enough to help me learn more.

автор: Hakim G

•Apr 28, 2020

Very good course and good teachers. The overall pace is gradual, yet sustained. Week 4 is a bit less clear and accessible, otherwise everything is well taught. I have finally managed to overcome my fear and traumas around statistics, thanks to you!

автор: Claude C

•Mar 06, 2016

Very good introductory course to statistics and probability. This course is both entertaining and rigorous. I recommend this course without any hesitation to beginners and people who want to refresh their knowledge and skills in basic statistics.

автор: shengxun y

•Jul 17, 2019

The lecturers explain basic statistics concepts very clearly, and very interestingly. The Datacamp quizes are very helpful for me to further understand the concepts, methods etc and give me some hands-on on using R to solve statistics problems.

автор: Özge Ç

•Jan 19, 2017

I've first time attended an online course. Basic statistic is great for specialization both students and employers. Syllabus of lessons become simple to complex, so it get easier learning. 1st week of the course about to finish. Thanks for all.

автор: Tomasz H

•Dec 29, 2016

Very clear, very good visuals, easy to follow. Highly recommended. I only wished the DataCamp examples were in Python, not R, but I understand R is a more natural choice for non-programmers. The lab and the presented theory are well synced.

автор: Aaron B

•Aug 18, 2016

A very engaging approach to online teaching, that is very effective at keeping you from zoning out while staring at boring slides of text with someone speaking over top of it. I wish more online learning courses would follow this example.

автор: Miguel C

•May 21, 2020

Exceptional course. While concepts may be introductory, it was superb plus having the opportunity of getting familiarized with programming in R studio. Overall, great introduction to basic statistical concepts and programming languages.

автор: Saurabh G

•Aug 28, 2019

This is one of the best designed MOOC. The kind of effort that has gone into making this and taking care of the its usability is just commendable. This will go a long way in influencing me to see University of Amsterdam as my new home.

автор: Gabriel E F d P

•May 06, 2020

The videos were super! Clear and entertaining. I am sure that the knowledge I acquired in this course will be valuable in my researcher career! Thank you to the professors and all staff involved in the preparation of the videos!

автор: Antonio V

•Mar 11, 2016

Warm congratulations to the Team for putting together a statistics course that will not scare 90% of the course participants from day one. Well paced, well explained, nice humorous cases and step-by-step explanations. WELL DONE

автор: Zoltan T

•May 22, 2019

The 7th week needs clarification on what confidence we use in the tables on 1 and 2 tail T tests, in fact I believe the T-table Coursera has is probably a 2-tail table rather then 1 tail. Other than that, it was a good course.

автор: Ute T

•Mar 13, 2019

Very well explained and timed in a good flow. All important infos are there. The handouts are correct, and the videos correspond with audio/handouts. It is very nice that the quizz has hints for those answers that were wrong.

автор: bisheng

•Mar 08, 2016

I am at the third week, that is very well explained. Sometimes I may need to watch the video again, but in general I am very satisfied. I think it could be good both for people who want to learn and people who want to review.

автор: Anand P

•Apr 10, 2016

Very illustrative relatable examples taken to explain in this course which indeed covering most of the concepts in the field of Statistics. Totally found the course very likeable and matching the expectations I had in mind.

автор: Vaibhav V (

•Jun 13, 2020

This was a very nice and interesting course. I really liked the way it was arranged. The R Studio practice was educative and learnt the basic through DataCamp. A good course for beginners to learn statistics using Rstudio.

автор: Estefanía O R

•Apr 13, 2020

I thought I was never going to be able to understand statistics until I took this course. I'm really glad I stuck to it, because the topics are explained in such a friendly way, along with great and uncomplicated examples.

автор: Simon K

•May 03, 2019

Really well put together, they made it quite fun, produced at a high quality. However it not easy - there were some things that took me a lot of researching to understand. I guess that's the challenge of online learning...

автор: Ariane A

•Apr 22, 2016

Great and clear videos, they make it very easy to understand all the concepts even if you don't know anything about the topic. The R-lab assignments are a great tool for getting usedt to working with what you have learned.

автор: Paul C

•Sep 25, 2017

I have had to reschedule this course several times because of time constrains. However, now that I am picking it up to finish it I feel like for the first time in a statistics course I remember what I have learned so far.

автор: Hardik G

•Sep 11, 2016

This is a brilliant course to learn statistics from scratch. The instructors are too good and their teaching methods and examples are very lucid. A must visit course for everyone who wants to get their statistics correct

автор: Pranit D U

•May 17, 2020

I'm really thankful to the "Basic Statistics - University of Amsterdam" course team for making this course available. They taught the logical subjects of probability and statistics in the most intuitive manner possible.

автор: Faisal A

•Jun 06, 2016

I am a physician... love this course. Highly recommend it. Even if you don't complete the tests, it is extremely useful to all physicians, residents and medical professionals and to anyone who wants to know statistics.

автор: Lynn R C

•May 12, 2020

Wording is sometimes a little vague, both in questions and videos. Notation is a bit inconsistent. Otherwise, it's a nice, basic course. I especially liked the R exercises and tried to do them *before* the quizzes.

автор: Ian T J C

•Feb 07, 2016

This course is an excellent, comprehensive, introduction to Stats. It is challenging, but in a very good way. Expectations are set sufficiently high that you need to grasp the concepts to succeed. Excellent MOOC!!

- Искусственный интеллект для каждого
- Введение в TensorFlow
- Нейронные сети и глубокое обучение
- Алгоритмы, часть 1
- Алгоритмы, часть 2
- Машинное обучение
- Машинное обучение с использованием Python
- Машинное обучение с использованием Sas Viya
- Программирование на языке R
- Введение в программирование на MATLAB
- Анализ данных с Python
- Основы AWS: введение в облачные приложения
- Основы Google Cloud Platform
- Обеспечение надежности веб-сервисов
- Разговорный английский язык на профессиональном уровне
- Наука благополучия
- Научитесь учиться
- Финансовые рынки
- Проверка гипотез в здравоохранении
- Основы повседневного руководства

- Глубокое обучение
- Python для всех
- Наука о данных
- Прикладная наука о данных с Python
- Основы бизнеса
- Разработка архитектуры на платформе Google Cloud
- Инженерия данных на платформе Google Cloud
- От Excel до MySQL
- Продвинутое машинное обучение
- Математика в машинном обучении
- Беспилотные автомобили
- Блокчейн для организаций
- Бизнес-аналитика
- Навыки Excel для бизнеса
- Цифровой маркетинг
- Статистический анализ в здравоохранении на языке R
- Основы иммунологии
- Анатомия
- Управление инновациями и дизайн-мышление
- Основы позитивной психологии

- ИТ-поддержка Google
- Специалист IBM по привлечению клиентов
- Наука о данных IBM
- Прикладное управление проектами
- Профессиональная сертификация IBM в области прикладного ИИ
- Машинное обучение для Analytics
- Пространственный анализ данных и визуализация
- Проектирование и управление в строительстве
- Педагогический дизайн