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Probability and Statistics in Data Science using Python

The job of a data scientist is to glean knowledge from complex and noisy datasets.Reasoning about uncertainty is inherent in the analysis of noisy data. Prob...
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(0 reviews)
118,820 students
Created by
Alon Orlitsky

8.8

Classbaze Grade®

10.0

Freshness

N/A

Popularity

7.1

Material

Detailed Analysis »

Probability and Statistics in Data Science using Python
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Platform: edX
Price: check current price
Language: English

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Classbaze Rating

Classbaze Grade®

8.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

10.0 / 10
This course was last updated on 2021-07-28.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

We analyzed factors such as the rating and the ratio between the number of reviews and the number of students, which is a great signal of student commitment. If a course does not yet have a rating, we exclude Feedback Score from the overall CourseMarks Score.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

7.1 / 10
Video Score: 7.5 / 10
The average video length is 12 hours 00 minutes of 135 Data Analysis & Statistics courses on edX.
Detail Score: 8.3 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 1.0 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 tests or quizzes.

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About the course

The job of a data scientist is to glean knowledge from complex and noisy datasets.

Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning.

In this course, part of the Data Science MicroMasters program, you will learn the foundations of probability and statistics. You will learn both the mathematical theory, and get a hands-on experience of applying this theory to actual data using Jupyter notebooks.

Concepts covered included: random variables, dependence, correlation, regression, PCA, entropy and MDL.

What can you learn from this course?


? The mathematical foundations for machine learning
? Statistics literacy: understand the meaning of statements such as “at a 99% confidence level”
?

What you need to start the course?

The previous coursein the MicroMasters program: DSE200x
Undergraduate level education in:
Multivariate calculus
Linear algebra

Who is this course is made for?

This course was made for advanced-level students.

Are there coupons or discounts for Probability and Statistics in Data Science using Python ? What is the current price?

Will I be refunded if I'm not satisfied with the Probability and Statistics in Data Science using Python course?

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Who will teach this course? Can I trust Alon Orlitsky?

Alon Orlitsky has created courses that got 0 reviews which are generally positive. Alon Orlitsky has taught 0 students and received a average review out of 0 reviews. Depending on the information available, we think that Alon Orlitsky is an instructor that you can trust.

Learn everything about

Alon Orlitsky

Professor, Electrical and Computer Engineering • UC San Diego
University of California, San Diego
Alon Orlitsky's full profile and courses »
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8.8

Classbaze Grade®

10.0

Freshness

N/A

Popularity

7.1

Material

Detailed Analysis »

Probability and Statistics in Data Science using Python
Go to course »
Platform: edX
Price: check current price
Language: English

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