Retour à Python and Statistics for Financial Analysis

4.6

192 notes

•

38 Avis

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....

Jan 21, 2019

Perfect for the beginning to intermediate python programmer who wants to utilize finance data to make decisions (i.e. trading).

May 01, 2019

I learned a lot about how to implement financial statistics in Python and some added knowledge on statistics. Great Course.

Filtrer par :

par Cheuk W K

•Mar 01, 2019

It is a good course overall, combining the basics of statistics, Python and finance. I've learned a lot from it. I think the students can benefit more if additional suggested reading materials can be provided, so that if one lacks a strong background in a particular discipline, one can find out more outside the course. Also will be helpful if slides can be downloaded.

par carlo

•Mar 23, 2019

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par Satish N

•Feb 28, 2019

I had only basic knowledge of python and very basic knowledge of statistic - most of which I had not put to use, since leaving school. This course was a helped me to get more confidence with using python in a practical way. In the process I also brushed up my statistical skills - there is no better way to understand statistics then to apply in real-life scenarios as explained in this course. And python packages makes learning fun, by taking off the difficult computation tasks. Overall I would recommend this course to anyone who has interest in learning how to apply statistics and python to analysing data.

par Helena K

•Feb 08, 2019

this course is very practical! it explains how statistic concepts can be applied into financial-related examples using python.

some argue the course do not cover enough of python nor financial, nor statistics concepts. hey man !!! this course is not a baby intro course!!! it assumes you are either strong in one/some of the aspects (either you are strong in computer, or stats, or finance), and you want to see how the other aspects can be combined to work out something valuable. do you need to learn everything about a car before driving it? you just learn what you need to get the car moving man!!

This course is not spoon-feeding like your elementary school teachers!!! Professor taught you something, and you are expected to study further on your own. i am not good at stat, but I know programming reasonably well, I know where i should pick up some statistics to understand the materials.

you will be able to find tons of courses that introduces programming language/statistics, but they never tell you how useful the programming language/statistics is in real life. But this course is so practical that I can pick up the knowledge and use immediately.

Highly appreciate professor xu's effort in creating this valuable course!

par sabarinathan r

•Feb 07, 2019

This gives a application of all the three famous sectors viz, finance, python and statistics. Actually speaking i am searching for these kind of courses and did not get one. Atlast got this one for my solace. This suited my need. This course cannot be easily designed as other courses . This really needs one time . Thanks to the person who devised the course and also to the instructor Mr. Xuhu Wan for his meticulous time to provide the information in a precise way.

Infact the while explaining errors actually in a very short time he explained the unexplained, explained and total error in a concise and apt way. Really this a wonderful course.

Thanks

Sabarinathan alias Cheryn

par Ezekiel J T

•Feb 05, 2019

The lecture videos were very helpful to my studies. The teacher was able to explain the materials very clearly. However, I this course doesn't fit my expectations. The reason why is because I wanted to learn how to code in Python. This course emphasizes more on the business side and it doesn't provide an opportunity for us to actually learning the basics of coding in Python. I only learned a few useful terms in Python.

par Tushar G

•Jun 09, 2019

An interactive and succinct course to get an insight into the statistical analysis used in the finance domain on daily basis.

par 裴品傑

•Jun 05, 2019

很不錯，但最後的回歸有點難

par DONG C

•May 09, 2019

well illustrated and practical skills

par Steve R

•May 06, 2019

Associate Professor Xuhu Wan of HKUST ensures that a student learns both the python programming to build predictive models and the concepts of the models. To build your applied financial analysis skill set, this high caliber course ties together python programming practice with statistics.

par Torres M

•May 06, 2019

Me gusto

Es un curso muy completo

par Boudokhane M

•May 01, 2019

This course was really enjoyable : well structured, a likeable professor and very useful and illustrative exercises. the use of Jupyter notebooks was also a very good idea.

par Steven D

•May 01, 2019

I learned a lot about how to implement financial statistics in Python and some added knowledge on statistics. Great Course.

par Aria Z

•Apr 23, 2019

pros

(1) h

par Jing H

•Apr 16, 2019

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

par Ren J

•Apr 11, 2019

Clear explanation of the statistics and python, well-prepared exercise in notebook and basic bags in python are recommended to use in data processing.

par ducvannguyen

•Apr 01, 2019

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

par Wang H

•Mar 30, 2019

This is my first time to study on Coursera. This course is fairly useful to me. Thanks, Prof. Wan.

par

•Mar 12, 2019

very basic,

not improving python skills

par Gary C

•Mar 11, 2019

great instructions using real life data and examples. Useful for stock financial analysis based on the indicator.

par Mehul V

•Mar 11, 2019

Many things were left unexplained. A step by step procedure wasn't followed.

par Feiting X

•Feb 27, 2019

Nice Introduction!

par RS

•Feb 24, 2019

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

par SHIVAM B

•Feb 24, 2019

Great course that makes your basics very clear. to top it all the course is taught by an excellent tutor.

par Adrian B W

•Feb 19, 2019

Great course by a great instructor.

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