DB
5.0Reviewed Apr 30, 2020
I learned a lot about different charts and approaches to their evaluation. And at the same time I remembered the course of probability theory. It's not very simple, but you should try.
Python and Statistics for Financial Analysis
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.
Status: Python Programming
Status: Financial Trading
IntermediateCourse13 hours
Featured reviews
YK
4.0Reviewed Feb 15, 2021
A bit difficult for people non-trading majority and Python (basic programmig knowledge). It is expected to explain more about Python functionalities and opportunities in Data Analysis.
SZ
5.0Reviewed May 26, 2021
if there are answers for lab, it may more convenient for learners to recheck. some quiz link are useless to access the right place, hoping it could be fixed. the content is good.
EC
4.0Reviewed Nov 9, 2019
The course was very good and gave useful skills for statistical analysis with python. I do wish there was a more detailed introduction to the course for people who may not have a technical background.
GZ
5.0Reviewed Mar 25, 2020
Very clear explaining of the significant aspects when structuring a financial analysis, applicable in many forms of data if you don't want to make predictions only for the stock market.
MK
5.0Reviewed Oct 18, 2020
Tricky accent at time but great content and absolutely super Jupyter notebooks. The presentation looks cheap but this is one of the best finance/python starter courses on coursera.
YZ
5.0Reviewed Feb 1, 2025
This is an excellent explanation for applying Python to stock market data. As stated by the author, many terms are not explained in detail. I searched them in AI and gained an understanding.
LH
5.0Reviewed Mar 23, 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.
AI
5.0Reviewed May 9, 2020
This is a good course. I did not learned or gone through any of the Python module before joining this course, but the training was good. Thank you Xuhu Wan for your training.
ZL
5.0Reviewed Mar 1, 2026
This is an excellent course for anyone starting out in financial data analysis. The content is clear, well-structured, and provides a clear roadmap for how to apply statistics in finance.
CP
4.0Reviewed Aug 18, 2020
Great fundamental course. However, some codes are outdated and it is somewhat troublesome to find the right code as a coding beginner. I've also learnt a lot from the 'finding' process too though.
GR
5.0Reviewed Mar 28, 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.