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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

2,023 évaluations
449 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

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.!

23 mars 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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126 - 150 sur 447 Avis pour Python and Statistics for Financial Analysis

par Mullai M

1 juin 2020

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

par Duc N V

1 avr. 2019

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


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 Samuel A

6 janv. 2020

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

par RS

24 févr. 2019

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

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

par Jing 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.

par Aditya T

6 juin 2020

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

par Partha S

9 déc. 2019

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

par Till H

21 janv. 2020

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

par Cristiano D A

8 août 2020

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

par Maiyu Z

25 juil. 2020

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

par Paolo G

17 nov. 2019

Very useful overview of dataframe analysis and visualization!

par Lara L

22 avr. 2020

Great set of materials and practical examples! Very useful!