Chevron Left
Back to Probability Theory, Statistics and Exploratory Data Analysis

Learner Reviews & Feedback for Probability Theory, Statistics and Exploratory Data Analysis by National Research University Higher School of Economics

4.7
stars
181 ratings
49 reviews

About the Course

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)....

Top reviews

MO

Aug 30, 2020

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!

MN

Jun 21, 2020

Excellent course. To the point with no fluff.\n\nThe professor explained everything in just the right amount of detail and the inclusion of python is great too.

Filter by:

26 - 50 of 51 Reviews for Probability Theory, Statistics and Exploratory Data Analysis

By wonseok k

Apr 09, 2020

extraordinarily good course.

good for understanding important concepts.

By Shruthan R

Jul 06, 2020

A wonderful course with concise lectures and very good assignments.

By Ashik K A

Jul 17, 2020

Decent into to probability and statistics.

By Mohnish V

May 03, 2020

Extremely informative, do join the course

By Shivendra P

Aug 29, 2020

Explained in simple words. great course

By Harsh K

Aug 14, 2020

The professor explains very well.

By BANDI J

Sep 26, 2020

well designed course for seekers

By M. K K 2

Sep 14, 2020

It was easy for learning!!!!

By Vasu M

Sep 01, 2020

Really really tough course.

By Amit R

Aug 12, 2020

It was a fantastic course

By Елизавета В

May 16, 2020

It is a great course.

By NISHANT S

Sep 28, 2020

this course is great

By thandarkyaw

Aug 24, 2020

Thank you so much.

By MUNINDAR A

Aug 10, 2020

best course

By Mahalingam P R

Aug 30, 2020

Fantastic

By MR. J T R A

May 22, 2020

Very good

By Jaskeerat S

May 20, 2020

Excellent

By ANKANA M

Sep 28, 2020

amazing

By Tanu s

May 04, 2020

good

By REYAD A R

Aug 04, 2020

ok

By Prateek

Jun 22, 2020

Nice... Basic Course Structure, Looking forward to more advanced topics and data analysis.

I am unable to understand about not getting a certificate till you complete all. I left one quiz which is 1 percent and completed 99 percent (get to know through grade section), even though Coursera has not generated my certificate. Thus I have to complete that 1 quiz also. In which university, college, school level exam or any --someone needs 100 percent to pass?? Hope Coursera and Instructor will understand this,

By Marat T

May 20, 2020

A good basic course: explicit and wide enough to cover everything you need to move on.

By Vishal K

Aug 03, 2020

This course is good for beginners only

By k v r

Apr 13, 2020

good information about data

By SARATH R M 2

Sep 23, 2020

Nice Experience