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Voltar para Python and Statistics for Financial Analysis

Comentários e feedback de alunos de Python and Statistics for Financial Analysis da instituição Universidade de Ciência e Tecnologia de Hong Kong

4.4
estrelas
2,929 classificações
646 avaliações

Sobre o curso

Course Overview: https://youtu.be/JgFV5qzAYno Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data. By the end of the course, you can achieve the following using python: - Import, pre-process, save and visualize financial data into pandas Dataframe - Manipulate the existing financial data by generating new variables using multiple columns - Recall and apply the important statistical concepts (random variable, frequency, distribution, population and sample, confidence interval, linear regression, etc. ) into financial contexts - Build a trading model using multiple linear regression model - Evaluate the performance of the trading model using different investment indicators Jupyter Notebook environment is configured in the course platform for practicing python coding without installing any client applications....

Melhores avaliações

EJ
3 de Ago de 2019

Great course! Very didatic explanations about financial and statistical concepts also with some interesting practical Python for Finance! Looking forward for new courses from same Univ. and prof.!

LH
23 de Mar de 2020

A very good introduction course to python programming and it has a perfect combination with statistics, which makes financial analysis more interesting and refresh my mind on it, thanks.

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626 — 650 de 656 Avaliações para o Python and Statistics for Financial Analysis

por Nico M

25 de Nov de 2019

Too many mistakes in the use of English throughout the course made it hard for me to follow the course properly without getting annoyed. The instructor's English was terrible as well, just too many mistakes, which made it impossible to follow without subtitles. The content was good though which is why it deserves two points.

por Victor M

6 de Nov de 2019

I was hoping for a little more from this course. While it effectively combines statistics, finance and python, it does not go into great detail in any of the three. There are spelling mistakes and the audio quality is not great. For me the most useful part was learning the python functions and syntax.

por Jonathan Z

29 de Set de 2021

Course is good but (a) some Python bits are not up-to-date and (b) final week exam questions should be updated and brought in sync with either lectures or the lectures need to be updated. If Google has a different answer than the course, well, that's not a great place to be in.

por Lale N

28 de Mai de 2020

i am happy with subject and course syllabus but if the data that the lecturer worked on them, was available the course would be much more useful,

without the data, it was just some code that we were watching.

thank you coursera :)

por Nicolas P

1 de Set de 2019

I would change the title. It has little practical content on trade, and explains more statistical methods.I would call it "how to use and graph statistics in python, with some trade samples".

por Mohini J

21 de Mar de 2020

The course tried to cover a lot but wasn't really helpful for those who didn't have basic knowledge of either Python or Statistics

por Panguluri B T

10 de Jul de 2020

Poor Explanation of topics, was in a very hurry to complete than in explaining the concepts in depth. Did not reach expectations.

por Jacob G

23 de Jun de 2021

More coding please. I was looking for more linear modeling examples and implementation. The rest was relatively easy.

por HIMANSHU V

13 de Ago de 2019

Lectures are not very informative. Things are said directly and not explained well. Sadly I paid $50 for this.

por Danny w

6 de Mai de 2020

The teacher need to learn better pronunciation and slower pacing

por wegdan

24 de Fev de 2021

video lecturing lacks clarity and big picture context

por Eliad H

12 de Mar de 2019

very basic,

not improving python skills

por Lubie W

9 de Ago de 2020

This course teaches statistics more than Python coding. The codes are not well explained or even not explained by the instructor. The instructor spent more time on statistics concepts than going through the Python coding. I learned very little about Python in this course.

por Liem J L

15 de Nov de 2019

Should be better explained. Could not get past the first few lines in the practical. Looked at the discussion board and people were saying it was because the course is outdated and the code he explained might not even work with the version we were using

por Anas A H H

16 de Jun de 2021

1- t​he language spoken is not clear (I had t oread the subtitles more than listening which was a horrible experience)

2​- the labs are bot built in the right way, lots of errors and lots of data changes that effected the application of the commands

por Jack M

26 de Abr de 2020

Horribly worded questions. Difficult to understand the lecturer. Week 1 was good to practice python. Week 2 was awful.

por Sean S

26 de Nov de 2019

The code examples and quizzes have not been properly reviewed and there were multiple mistakes in them.

por Marshall T

26 de Mai de 2020

codes are not updated to python 3. Also little opportunity to apply codes in IDLE/Anacdona yourself.

por Christeen P

12 de Mar de 2021

Disorganized, and the quizzes are not testing abilities nor knowledge but just quantitative skills.

por Avnish A

26 de Mar de 2020

very vague and non detailed explanations from week 2. almost impossible to catch up.

week 1 was good

por Pedro J G R

14 de Out de 2021

Very complex explanations (even if you learnt statistic before) and then zero practice. A fake!

por Kwame N D

5 de Jan de 2021

Very poor delivery by the instructor. Course title inappropriate for the content.

por Ohad s

2 de Out de 2020

the instructor is not understandable and don't really explain the material

por Chavassieux

17 de Set de 2021

A​ lot of formulas but it miss some example too generalist sometimes

por Boyan D

5 de Nov de 2020

I regret starting this course. You should unlist it from coursera.