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Avis et commentaires pour d'étudiants pour Python and Statistics for Financial Analysis par Université des sciences et technologies de Hong Kong

2,875 évaluations
633 avis

À propos du cours

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....

Meilleurs avis

13 avr. 2021

Un curso con una perceptiva muy refrescante en cuanto a los conceptos técnico-estadísticos y sumamente prácticos. e incluso baratos, de implementar dentro del mundo de la inversión. Muy buen trabajo.

3 août 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.!

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176 - 200 sur 643 Avis pour Python and Statistics for Financial Analysis

par 江兰昕

5 oct. 2019

Very clearly taught. Thank you for offering me such a good beginning for Python.

par Rajesh M

14 juil. 2020

Very useful course for the python program aspiratnts related to Finance stream.

par Mullai M

1 juin 2020

One of the best course for a beginner to learn Financial Analysis using Python.

par Duc N

1 avr. 2019

Thank you very much for this useful course. I hope to join many course from you

par Omar S

14 nov. 2021

L​ab tools were excellent and Prof. Xuhu Wan has taught in an excellent manner

par Vikas K V

21 mai 2021

Very Usefull and informative course which was explain in a very easy language.

par Can K

6 févr. 2021

Lab assignments could be a little more explaining and challenging.

thank you :)

par Priyanshu S

10 août 2020

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

par Галина

24 juin 2020

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

par Bonginhlanhla

11 juin 2021

it was great understanding the beauty of statistics in its application field,

par KIM T

1 janv. 2021

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

par Percy L

26 juil. 2020

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

par Samuel G M M

22 sept. 2019

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

par Verónica M

18 déc. 2020

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


28 sept. 2020

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

par Yau T H

8 janv. 2019

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

par Ho Y C

1 août 2021

Nice course for me who is interested in both trading and computer science.

par Samuel A

6 janv. 2020

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

par Slava S

24 févr. 2019

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


2 nov. 2021

Professional and advance course MUST be taken for financial data analyst.

par S S P B

29 juil. 2020

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

par John R

31 janv. 2020

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

par Andrew B

28 juin 2020

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

par John B G L

16 sept. 2020

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

par Xinyu L

21 sept. 2019

First coursera course, definitely a great preparation for deeper study