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Python and Statistics for Financial Analysis に戻る

香港科技大学(The Hong Kong University of Science and Technology) による Python and Statistics for Financial Analysis の受講者のレビューおよびフィードバック

4.4
3,177件の評価
705件のレビュー

コースについて

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....

人気のレビュー

LH

2020年3月23日

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.

GZ

2020年3月25日

Very clear explaining of the significant aspects when structuring a financial analysis, applicable in many forms of data if you don't want to make predictions only for the stock market.

フィルター:

Python and Statistics for Financial Analysis: 701 - 720 / 720 レビュー

by Wickson H

2022年2月28日

Too difficult to beginner

by Lubie W

2020年8月9日

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.

by Liem J L

2019年11月15日

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 Looked at the discussion board and people were saying it was because the course is outdated and the code he explained might not even work with the version we were using

by Anas A H H

2021年6月16日

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

by Jack M

2020年4月26日

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

by Sean S

2019年11月26日

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

by Marshall T

2020年5月26日

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

by Christeen P

2021年3月12日

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

by Avnish A

2020年3月26日

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

week 1 was good

by Pedro J G R

2021年10月14日

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

by Kwame N D

2021年1月5日

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

by Ohad s

2020年10月2日

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

by Chavassieux

2021年9月17日

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

by Boyan D

2020年11月5日

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

by tanish s

2020年4月27日

very bad course. dont take it . no indepth knowledge.

by Julian E

2021年9月12日

The labs are not challenging

by DEEPENDU G

2021年4月20日

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by Priyanshu C

2021年9月29日

Very bad course

by Suman D

2021年11月11日

very bad

by Mohamed s

2020年5月15日

too bad