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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

3,621 évaluations

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


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.!


28 mars 2022

Very useful introductury course into both python and statistic analysis wich allows you to create a simple trading strategy. It serves as a great first step but there is a long way to go still.

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226 - 250 sur 808 Avis pour Python and Statistics for Financial Analysis

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 Haruna J

27 juil. 2022

I was a good experience for me. I enjoyed the course and have great things

par Ho Y C

1 août 2021

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

par Sam

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 Surya P

29 juil. 2020

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

par Roman V

5 janv. 2022

Excellent course, right to the point and testing your skills accordingly

par John R

31 janv. 2020

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

par Abdul B

27 août 2022

Being a begginer, this course really helpled me in learning the basics.

par Andrew B

28 juin 2020

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

par Gael B

23 déc. 2022

Very interesting course, I recommand it !

Thanks a lot to the teacher !

par XI L

27 juil. 2022

Very useful if you have a bit of knowledge in finance and econometrics

par Aske L

11 avr. 2022

Great course. A bit difficult for beginners in python, but i was great

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

par Diana T

12 août 2022

Very well explained and the acquired knowledge is directly appliable.

par zhiyu z

1 mai 2021

a very easy course for freshman to start with. I learn a lot from it.

par Jane H

16 avr. 2019

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

par Luu G H V

13 août 2020

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

par Mir A

16 juin 2020

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