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University of California, San Diego

Probability and Statistics in Data Science using Python

University of California, San Diego via edX

Overview

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.

Taught by

Alon Orlitsky

Reviews

1.9 rating, based on 30 Class Central reviews

Start your review of Probability and Statistics in Data Science using Python

  • Ronny De Winter completed this course, spending 7 hours a week on it and found the course difficulty to be medium.

    This review was written after finishing 7 of the 10 sessions. The schedule is unreliable, with many delays (3 weeks of delay after 7 weeks). This is a boring course, too many mathematical proofs, with long-winded videos and dull scholarly examples with...
  • Anonymous
    I just finished this course as part of the UCSD Micromasters Program in edX so I just battled through it (spending ~15-20 hours/week studying). Otherwise I probably would've given up. Nevertheless, in spite (or because) of the challenging nature of the...
  • Anonymous

    Anonymous is taking this course right now.

    IF you work full time and don't already have a MS or PhD in mathematics/computer science I feel that this course will be too time consuming to complete. Run away. I really tried to like this course, but in the end I feel I have learned little and been...
  • Anonymous

    Anonymous completed this course.

    If you do not have time to kill, I would give you a friendly advice to choose other courses on probs and stats. The lecture videos are pretty lengthy, some even reaching an hour, only for you to eventually realize that there is a disconnect between what...
  • Anonymous
    I cannot describe just how terrible this course is. The only reason I am continuing with it so far is because I wrapped myself in by applying for the micromasters after taking the first course (which was great). Before I provide my pro/cons list know...
  • Anonymous

    Anonymous completed this course.

    I have received a passing grade on the course and finished 9 out of 10 weeks now on the verified track (10th week is not available now due to a delay, which is very typical for majority of the weeks on first iteration of this class). I have to say the...
  • Anonymous

    Anonymous completed this course.

    I really cannot recommend this course at all. For somebody with the required prerequisite background stated by the instructors, I felt no where near qualified to understand most of the content. It is extremely heavy on mathematics, which is what I expected....
  • Anonymous

    Anonymous is taking this course right now.

    This course is way too long for a 10 week 10 hours per week course. This is as a lot of the seminars are over 15 minutes long and some are 27 minutes long with a lot of incoherent mumbling/off topic rambling. A lot of times the assignments were difficult...
  • Anonymous

    Anonymous completed this course.

    The content is not engaging at all, video lessons are much too long (more than 1 hour per topic) and 80% of the time is spent with mathematical proofs instead of real world application examples. This creates a huge disconnect from the lecture and the...
  • Anonymous
    I'm extremely frustrated with this course. I had already familiarized myself with the concepts such as probability and statistics before I took the course, and I thought this course would take me to a deeper level but I was WRONG! Instead, I ended up...
  • Anonymous

    Anonymous is taking this course right now.

    Almost near finishing the course with securing 59% out of 60% before the final exam which counts as 40% with overall passing grade required of 65%. Feedback on the course: 1) Poorly designed course 2) Lack practical application knowledge hence i am quite...
  • Anonymous
    I do NOT recommend this course. I have an engineering and math background and found this course to be very time consuming and difficult. There is a large disconnect between what is taught in the course videos and the problems set given at the end of each...
  • Anonymous

    Anonymous is taking this course right now.

    This course is awful. The lecture material does not give you a good understanding of the material and you will have to go to other sources (youtube etc.) to figure out how to answer the questions on the problem sets. You will also need to spend upwards of 20 hours/week instead of the 10-12 hours/week claimed by this course.

    The programming assignments are also non-intuitive and could be handled much better.

    There are much better ways of handling a course like this and I am severely disappointed with this course.
  • Anonymous

    Anonymous completed this course.

    This course goes right to the basics of statistics in incredibly fickle detail that means that it takes a lot more than the 10 hours a week that is suggested. The course due to detail and length of presentation would be better if it were 2 or 3 separate...
  • Anonymous

    Anonymous is taking this course right now.

    Course takes way longer than the suggested 10-15 hours per week for 10 weeks, and is probably closer to 30 hours. The lecturer has a very old and outdated style of teaching, which feels very bland and plain making it difficult to follow the lectures for a long period of time. The problems have a varying level of difficulty, and some of them require knowledge of future videos to complete. I have wasted so much time trying to answer a question, only to realise i could've answered it easily if I had gone ahead and watched future lectures.

  • Anonymous
    I completed this course after taking 2 of the other UCSD Micromasters courses (DSE 200X 'Python for Data Science', DSE220X 'Machine Learning Fundamentals'). Both were much better courses than this. The best thing about this course is that it is mathematically...
  • Anonymous

    Anonymous is taking this course right now.

    Wow there is a lot of content and I am struggling to be able to finish it on time. I work full time and this is definitely more work than 10 hours a week. I have knowledge of calculus and algebra from university courses, but it is still taking me a long time to complete all the tasks. I do not think I will be able to complete the course on time if I do not put in 30 plus hours a week.
  • Anonymous
    I was stuck having to complete this course to finish the micromasters path but be advised, do not take this class unless you absolutely have to! I've heard that the Harvard micromasters in DS content is MUCH better but have not experienced it myself. The...
  • Anonymous
    I am taking this course as part of my micromaster and I find this course rather difficult and very time consuming. The problem sets given were much much much harder than what was taught in the lecture. I spent more than an hour to solve one problem, and...
  • Anonymous

    Anonymous is taking this course right now.

    It is disapointing to spend 2 times (or more) than is informed to solve 74*(5 to 11) problem sets and use Python in less than 5% of this time.

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