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Вернуться к Probability Theory, Statistics and Exploratory Data Analysis

Отзывы учащихся о курсе Probability Theory, Statistics and Exploratory Data Analysis от партнера НИУ ВШЭ

4.7
звезд
Оценки: 307
Рецензии: 84

О курсе

Exploration of Data Science requires certain background in probability and statistics. This course introduces you to the necessary sections of probability theory and statistics, guiding you from the very basics all way up to the level required for jump starting your ascent in Data Science. The core concept of the course is random variable — i.e. variable whose values are determined by random experiment. Random variables are used as a model for data generation processes we want to study. Properties of the data are deeply linked to the corresponding properties of random variables, such as expected value, variance and correlations. Dependencies between random variables are crucial factor that allows us to predict unknown quantities based on known values, which forms the basis of supervised machine learning. We begin with the notion of independent events and conditional probability, then introduce two main classes of random variables: discrete and continuous and study their properties. Finally, we learn different types of data and their connection with random variables. While introducing you to the theory, we'll pay special attention to practical aspects for working with probabilities, sampling, data analysis, and data visualization in Python. This course requires basic knowledge in Discrete mathematics (combinatorics) and calculus (derivatives, integrals). This Course is part of HSE University Master of Data Science degree program. Learn more about the admission into the program and how your Coursera work can be leveraged if accepted into the program here https://inlnk.ru/rj64e....

Лучшие рецензии

AK
12 окт. 2020 г.

Very nice approach to such a vast topic , making it more understandable. Such type of interactive lectures are advisable for courses on Calculus and Algebra from the same University.

MO
29 авг. 2020 г.

Ilya Schurov explains concepts very well, and this course is a great start to begin the journey into data science. Also, the inclusion of some programming is appreciated!

Фильтр по:

1–25 из 84 отзывов о курсе Probability Theory, Statistics and Exploratory Data Analysis

автор: Shaaguun z

17 апр. 2020 г.

First i think it was difficult but when after it starts to grow on you

Enjoyed every bit if it

автор: Khetag T

31 мар. 2020 г.

I liked the course. The content of the course and the style it was delivered in were exactly what I expected from a course like this. Thanks!

автор: Roger S

6 мар. 2020 г.

An introduction into statistics for the mathematical minded. This course brings up the mathematical basics of data analysis a bit more than other courses. That's why it might be interesting for you even when you are experienced in analytics but have been a bit sloppy on the mathematical background. Be aware that you need some knowledge of calculus for solving the quizzes.

The course is well taught. Even the teacher is not an English native, his ability to express the stuff in a clear and comprehensible way is excellent. I liked that they provide many quizzes so that you can test your understanding of the lectures immediately. Unfortunately no accompanying material is provided so you have to take you own notes while watching the lectures.

автор: SANTHOSH R M

22 авг. 2020 г.

This is one of the best course in coursera. Before taking this course I was really afraid about studying probability. Before taking this course I only knew P(E) = #E/Total #S. But the way the instructor Ilya V. Schurov taught was just right and anyone will be able to follow his lecture. Thanks Ilya V. Schurov.

автор: P S

18 сент. 2020 г.

One of the best courses for Probability and statistics, the course structure and syllabus was really very organized. I enjoyed completing this course.

автор: Xinshan C

15 авг. 2020 г.

A really good introduction to Probability Theory with detailed explanation. Easy to understand, easy to follow; get my full recommendation!

автор: Zameer H

10 июля 2020 г.

The course teacher is excellent with detailed explanation with examples, this course helped me in my professional development

автор: Pascal P

5 февр. 2020 г.

A nice introduction for beginners and those who need a warm up.

автор: Vijay B K

21 мая 2020 г.

this course is useful in daily life plus in bussiness.

автор: Vishal K

3 авг. 2020 г.

This course is good for beginners only

автор: Nitin

9 мая 2020 г.

IT'S AN ALL STAR COURSE FOR ME , I WANT TO GET STARTED WITH DATA

AND TOOK THIS COURSE ON PROBABILITY AND STATISTICS AS THESE SUBJECTS SCARE

ME THE MOST BUT COURSE'S INSTRUCTOR GUIDANCE AND IN-DEPTH COURSE MATERIAL

HELPED ME OVERCOMING MY FEAR AND NOW I AM ON MY JOURNEY TO EXPLORE VARIOUS

REALMS OF DATA

THANKS SO MUCH FOR HELP

автор: Vasily K

9 июля 2020 г.

The best course in the specialization "Mathematics for Data Science". Many thanks to Prof. Ilya V. Schurov! He's actually very passionate, interesting, professional and talanted lecturer with very clear and concise teaching approach. Looking forward to studying other courses from him.

автор: Sourav D

1 июля 2020 г.

It is a greatly designed course to have the elementary idea about probability theory and random numbers. One of the best things is the smooth transition between consecutive topics. Though I would appreciate more hands on solved example of each topic.

автор: zachary k

18 июня 2020 г.

Excellent course that covers many aspects of probability theory. Given the short duration of the class, topics are not covered in too much depth or at all (i.e. Markov chains). However, the content that is included is done well.

автор: Abhishek K

12 окт. 2020 г.

Very nice approach to such a vast topic , making it more understandable. Such type of interactive lectures are advisable for courses on Calculus and Algebra from the same University.

автор: Maurits O

30 авг. 2020 г.

Ilya Schurov explains concepts very well, and this course is a great start to begin the journey into data science. Also, the inclusion of some programming is appreciated!

автор: M N

21 июня 2020 г.

Excellent course. To the point with no fluff.

The professor explained everything in just the right amount of detail and the inclusion of python is great too.

автор: Ruchin P

10 июня 2020 г.

Good Theoretical knowledge was given in the course, rather than just leaving it to the learners to understand those theories on their own.

автор: Rudra P D

10 сент. 2020 г.

This was a great course.The lecturer gave meaningful insights on how to use probability and statistics for analyzing real world problems.

автор: RODRIGO J L

31 мая 2020 г.

Great course for beginers in exploratory data analysis. Also, you can learn how to use Python for basic data analysis.

автор: Carlos M V R

31 июля 2020 г.

Great course, great teacher, amazing way of teaching, everything is well explained, I feel I have learned a lot.

автор: Erik T

18 мая 2020 г.

A well explained and concise course to understand the basics of descriptive statistics and probability theory.

автор: Kaushik N R

20 сент. 2020 г.

Brief and well explained lessons with plenty of examples from real life make this course worth a try.

автор: Seongwoo K

2 нояб. 2020 г.

Realized that Mr. Schurov's Russian accent is very effective at delivering statistics. Thanks a lot!

автор: Humberto R

3 авг. 2020 г.

I like this course, I like professor, I like all, I been learning a lot much, thanks.