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Kursteilnehmer-Bewertung und -Feedback für Python and Statistics for Financial Analysis von The Hong Kong University of Science and Technology

2,347 Bewertungen
524 Bewertungen

Über den Kurs

Course Overview: 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....


23. März 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.

25. März 2020

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.

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151 - 175 von 519 Bewertungen für Python and Statistics for Financial Analysis

von Priyanshu S

10. Aug. 2020

well structured and easy to follow. Very clear and descriptive lecture videos.

von Галина

24. Juni 2020

Clearly and not boring. A good course to start a deeper dive into the subject.

von KIM T

1. Jan. 2021

Useful. Good to start if you have interested in both Finance and Programming.

von Percy L

26. Juli 2020

I learned new concepts and practiced Python along with many Python libraries.

von Samuel G M M

22. Sep. 2019

Bastante didáctico, te recomendaría complementar con otros cursos de python.

von Verónica M

18. Dez. 2020

Muy buen curso, completo y muy bien explicado. Lo recomiendo completamente.


28. Sep. 2020

The course is great for anyone interested with some basic python knowledge.

von Yau T H

8. Jan. 2019

I great and easy-to-understand course to learn python for basic statistics!

von Samuel A

6. Jan. 2020

The course content is awesome. Jupyter Notebook files are super helpful...

von Slava S

24. Feb. 2019

Hard subject to grasp for a novice, but material and professor was superb!

von S S P B

29. Juli 2020

very clear. covered all topics from basic statistics. highly recommended.

von John R

31. Jan. 2020

I have learned how to use use python to build and validate leaner model,

von Andrew B

28. Juni 2020

Great class, and useful material that has engaging Jupytr interactions!

von John B G L

16. Sep. 2020

Enriquecedor y muy completo. El profesor explica súper bien los temas.

von Xinyu L

21. Sep. 2019

First coursera course, definitely a great preparation for deeper study

von Jing H

16. Apr. 2019

Clear instruction and very useful python code for applied case study.

von Luu G H V

13. Aug. 2020

Basic and great course with practical learning. 10 out of 10 for me.

von Mir A

16. Juni 2020

I learned a lot related to regression models and taking predictions.

von Aditya T

6. Juni 2020

One of the best courses, teaching about the applications of python.

von Partha S

9. Dez. 2019

Good Course for the Finance person who wants to know and use Python

von Till H

21. Jan. 2020

Excellent! Very complete course, I would definitely recommend it.

von C D A

1. Feb. 2021

Este é um dos melhores cursos que eu já fiz. Obrigado Coursera.

von 麗容

20. Dez. 2020

learn lots of knowledge about python and statistic! thanks!!!

von Maiyu Z

25. Juli 2020

You can learn a lots of practical knowledge from this course.

von Paolo G

17. Nov. 2019

Very useful overview of dataframe analysis and visualization!