糖心vlog官网观看

Very good introduction in Financial Analysis using Python. In week 1 through 3 all concept are explained very clear, week 4, the most important week, is a lot of information in only a few video's. I wish these week was extended so these concepts could be explained with the same thoroughness as week 1 to 3. Overall I enjoyed the classes very much.

The course material is fantastic as well the teacher is knowledgable to tutor key concepts of stasttistics using python that can be applied in financial data modelling. However, some of the Jupiter notebooks don't work for questions asked in weekly tests. I think people may need some mathematics background to fully understand this course.

The course provides a very good learning experience. The course explains the various statistics that go into evaluation of stock data and further its execution using Python. The explanations could be bettered as there were many instances where pronunciations could not be comprehended. Overall the course provides a good learning experience!

Interesting themes but seemed that the course was made on the run with lots of typos and some explanations were too general to jump to next topics. If I didn't have a statistics and programming background, I wouldn't have understood a lot of things. But overall, is a good course to do after some basic/medium Python + statistics knowledge

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The course provides a good basic knowledge of the matter.

The learning curve is not uniform across the four weeks, becoming substantially steeper in the last week. Many concepts are given without much discussion during this week.

Some incoherencies between the slides and the exercises make the learning process sometime frustrating.

Great Intro. course to Python application in the Financial domain. It will be beneficial to have some Python and Pandas background. Good examples, very practical.

It's a great course - with many practical examples. But this course needs some basic Statistics and Python knowledge to really follow along with some "deep concepts".

Definitely a great course for you get in touch how to program those formula, concept model using python. It is actually amazing how python code can do such thing easily especially how huge of a data is from a stock price, housing price fluctuation. I definitely suggest this course for a touch of what future finance industry be.

It is a short and well organized course with a gently introduction to the popular Python's data analysis library, Pandas. In addition, the course shows sufficient statistical and financial tools to build simple and practical strategies that put some light on the obscure (at least for some people) market stock analysis.

In general, the course is very interesting, very clear with a lot of explanation. However, I dislike some part of the quiz: when we need to follow the link to answer the question, it is not possible because the link doesn't show the notebook but our course's process. It will be greater if you ameliorate this part.

I'm actually not very happy with the test. The answers make me confused a lot, especially with the quiz from part 3. Anyway, enjoying free education. This code from lab also helpful incase you rewrite or do anything from zero; don't you might feel that this course is not really effective and efficient

It was explained well, my only issue was the fact that when it came to the application, I struggled a lot. The examples never really touched upon the application questions. I wish he had done more application of the actual outcomes. Not the exact question in the quiz but something along that line.

First course I've completed using 糖心vlog官网观看 initially found it difficult to get to grips with embedded python, but quickly got to grips with it, really interesting course and a brilliant introduction to python and statistics for financial analysis think the course was really well structured.

Generally a very informative course on how to use python for financial analysis. Some of the concepts are not clearly explained. Would recommend to have a little basic finance background and to have some ideas about statistics as these concepts are only vaguely explained during the course.

The jupyter notebook embedded in the course is quite useful and can be replicated in real life experience, but it requires intermediate programming and statistics knowledge to better understand the content. Would be great if the lecturer could dive deeper into the pre-requisite knowledge.

Good and quick course for beginner to use python for financial analysis. The Jupyter Notebook is advanced development environment for python and academic/scientific researcher, but difficult for beginner. Would suggest to have a summary card for all the commands used during the course.

Good pace, instructor at times is hard to understand, had to look at the transcript to understand some parts. Course only scratches the basic parts of python and statistics -- good beginner course, but may require small knowledge of python and basic statistics before beginning.

Es un curso que presenta conceptos interesantes sobre el mercado bursatil, y explica de manera clara la manera en que se pueden analizar los comportamientos de diferentes indices bursatiles. Es importante tener conceptos previos de estadística y algo de logica de programación.

It's a great introduction course to Financial Analysis without much knowledge of Python. But some of the material might be slightly out-dated now and there are not much explanation at the latter half of the course especially on how to apply the model to other variations.

The content of the course is really good.

The amount and density of the information for the last week is high. Specially compared with first week. Would be great if it could be balanced information per week.

Time to time the (English) pronunciation wasn't good enough.

The course has offer me a insight in Python in Statistics and how I can implement in the field of Finance.

Overall difficulty was moderate to high, Week 4 was way to difficulty, I would suggest that a person with Knowledge on Statistics should apply to this course

I agree the content is extremely useful, especially, for people who are starting to learn about finance, and statistics. The only complain was that my expectations were rather a focus in python than in the finance concepts themselves. Overall, a great course

It has been a really interesting course, but I expected to learn a way to get the signals using a price action analysis, or even identify some support/resistance areas. However, it has given me some ideas to continue with my learning.

Completely recommended!

Nice intro to using python in financial statistics. I dont have financial background so a lot of things were too complex for me. In general this course will not teach you statistics or python but will rather show potential in learning both of them together.

Professor Wan was a great teacher. However, I believe that going in to more depth concerning the modules contained in jupyter notebook would be beneficial to better understand the actual mathematical processes behind the statistical analysis we performed.