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Python and Statistics for Financial Analysis

The Hong Kong University of Science and Technology via Coursera

15 Reviews 271 students interested

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Overview

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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.

Syllabus

  1. Visualizing and Munging Stock Data
  2. Visualizing and Munging Stock Data
  3. Sampling and Inference
  4. Linear Regression Models for Financial Analysis

Taught by

Xuhu Wan

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Reviews for Coursera's Python and Statistics for Financial Analysis
4.2 Based on 15 reviews

  • 5 stars 60%
  • 4 stars 13%
  • 3 stars 13%
  • 2 stars 13%
  • 1 star 0%

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  • 1
Ariel G
5.0 4 weeks ago
Ariel completed this course, spending 6 hours a week on it and found the course difficulty to be medium.
Its a complete course which gives the fundamentals for programming financial applications into Python. I would suggest to improve in trying to use the code presented in the Jupyter applications, not only for the variable names but for the code consistency. Also, I would suggest that the data files been published for the students which work off-line and try to keep peace; I use Sublime + Python interpreter on my laptop and no Jupyter, for example. I recommend the course for people which takes a very first idea of Phyton, anyways it's no difficult to keep the rhythm.
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Anonymous
5.0 2 weeks ago
Anonymous is taking this course right now.
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 ca…
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Sabarinathan C
5.0 2 weeks ago
Sabarinathan completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
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 its a wonderful course.

Thanks

Sabarinathan alias Cheryn
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Anonymous
4.0 6 days ago
Anonymous completed this course.
The course covers basic Python to build and evaluate financial models. The course is easy to learn because the length of every video is on average 10 minutes. Although I did not put a lot of time practicing the exercises, I managed to pass the quiz at the end of every Week. Coursera will automatically set deadlines for you, so you should be motivated to finish the course on time. The professor's pace is a bit fast, perhaps this is an online course. This shouldn't be a problem because you can always replay the video again until you understand the concepts.
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Anonymous
3.0 2 weeks ago
Anonymous completed this course.
The lecture videos were very helpful to my studies. The teacher was able to convey the course materials in a clear and concise way. However, the course materials didn't fit my expectations. I wanted to learn how to code in Python. Instead, this course focuses more on the business side. I only learned a few useful terms in Python. The course didn't really provide a platform for us student to learn how to code since the basics were not fully covered. Despite that, the materials were very useful and insightful.
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Anonymous
5.0 4 weeks ago
Anonymous completed this course.
It is a very good course to learn the basics in python to analyze financial stock market data. However, if you don't have prior knowledge to statistics and financial data (variance, histograms, regressions, value at risk, hypothesis testing, ...), the course might be to fast to understand the background, because you cannot explain all these things properly in 2-3 hours of video. But I guess most people who want to analyze stock data in python have this knowledge.
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Anonymous
2.0 3 weeks ago
Anonymous completed this course.
There are some mistakes in both Juypter Notebook and Quizs and I think this course is not so practicle. I would recommend this course to add more practice part in coding for students. Cuz so far, I think I just got some proper nouns for python and financial analyse and have no idea of making analysis of stock prices indipendently.
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Anonymous
5.0 2 weeks ago
Anonymous completed this course.
Practical and very relevant for finance. Great tools that can be applied for some basic trading techniques. Can always expand more by introducing rolling techniques and more out of sample testing. Overall, one of the best courses on python for finance out there. Many thanks for putting it together.
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Stephenqi S
5.0 3 weeks ago
Stephenqi completed this course, spending 3 hours a week on it and found the course difficulty to be hard.
Very interesting perspective to analyze the stock market with the help of python. The class designed very well, So even a beginner can understand the theory. But it will be a little difficult if now basic understanding of python and statistic background.
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Luiz C
2.0 3 weeks ago
Luiz completed this course, spending 1 hours a week on it and found the course difficulty to be very easy.
This Course is overall disappointing. I would have rated it 2.5/5 if possible.

No outrageous flaw.

But like a very concise cheatsheet about Python/Pandas and Statistics: completed it in 2hours ish
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Anonymous
5.0 a week ago
Anonymous completed this course.
I indeed learnt a lot under the guidance of the professor, and it is quite convenient that you can make your own schedule. If you want to learn how to use Python, it is really a good choice.
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Anonymous
4.0 3 days ago
Anonymous completed this course.
I finished the course. I felt well for this course. It use some statistics and financial basic knowledge and python to solve the stock analysis.
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Anonymous
5.0 3 weeks ago
Anonymous completed this course.
It is awesome that makes me learn python concepts regarding Python and Statistics for Financial Analysis more than ever before
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Anonymous
3.0 2 weeks ago
Anonymous completed this course.
I don't know it is somehow overlap with the course isom2500.Moreover,i don't think that have learned a lot on Python.
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Anonymous
5.0 a week ago
Anonymous is taking this course right now.
This course has shown us how statistics is related to financial analysis and IT. I think it is a good combination.
Was this review helpful to you? Yes
  • 1

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