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Learner Reviews & Feedback for Python and Statistics for Financial Analysis by The Hong Kong University of Science and Technology

4.4
stars
4,340 ratings

About the Course

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....

Top reviews

RH

Jan 4, 2024

It is an excellent course to apply statistic, probability and python methods in financial modelling. I would like that each section had resources to study statistics concepts related to the videos.

GR

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.

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151 - 175 of 993 Reviews for Python and Statistics for Financial Analysis

By Migo

Aug 25, 2020

Great course. I also like the very good examples. The given notebooks were extremely helpful. Thank you very much, Prof. Xuhu Wan. Would love to learn more from you.

By simhachalam b

Apr 24, 2020

This course is superb. As a mathematics faculty, it enhances our thinking ability that how to apply the mathematics theoretical knowledge in real-world applications.

By arman k

Nov 1, 2023

It's an amazing course which discusses some of the most popular topics in financial analysis. I intensely recommend this valuable course to all Financial Engineers.

By CHIMWEMWE M C m

Mar 30, 2023

The presentation and notes were beneficial to me I have that I didn't struggle to finish the course. The presenter presented so well that I understood him so well.

By SYEDA H Z

Dec 25, 2022

The course was extremely interesting and useful. It was extremely helpful to understand the basic concepts of Python. It was a nice balance of theory and practice.

By Aloysius L

Jan 3, 2023

Practical and informative, concept were initially hard to grasp as I have a weakness in statistics but the visual learning materials and explanations were useful.

By Pravinkumar G S

Oct 18, 2022

Python and Statistics for Financial Annalysis course are very useful. the syllabus is very good and the method of explanation of the course content is wonderful.

By YAĞMUR U T

Jul 29, 2020

Absolutely excellent! Content and examples are targeted, not too much or confusing information. Crystal clear instructions and informative practice quizzes.

By bbt

May 10, 2023

I love professor Xuhu's explanation the most. The lab are assignments contribute to a great interactive learning of what was taught in class. Thanks a ton!

By Poonkuzhali S

Dec 19, 2020

Thanks to Prof. Xuhu WAN for explaining the core concepts of financial analytics in lucid manner. Practical sessions was very useful. Had a great learning.

By Sonali M P

May 19, 2023

Good Experience and great opportunity to have hands-on-practice Assignments.

They help to boost the knowledge in the field.

Thank you for the great content

By Nilvan J

Sep 20, 2020

Very good introductory material for the ones that are interested in learning basic's at using Python and mathematic formulas to apply at financial market.

By 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.

By Nii A

Apr 13, 2021

This is a great opportunity I have had and will share with others. I will go deeper into the course because it a very useful program in he century.

By Liza P P

Jun 18, 2020

I have

statistical and programing skills without finance background, but this course was very clear and practical. I have learned a lot. Thank you!

By Jingbo Y

Apr 10, 2021

This is a great course for students who have some statistics, Python and finance background. It is the best course that I have taken on Coursera.

By Parva S

Dec 13, 2019

Great Course. I didn't have a prior background in python programming but this course made it very comfortable. Highly recommend taking this course

By XU Y

Jan 27, 2023

I have learned lots of knowledge about python and statistics for financial analysis. The knowledge will be helpful for my later study and career.

By Zhuzju

Jan 13, 2021

It is helpful with applicable codes. However, it would be even better if the theories and methods used in the course were explained in detail.

By garima a

Jul 4, 2020

The content of this course is amazingly designed to give students overview of financial analysis. I thoroughly enjoyed taking up this course.

By Stefan K

Aug 15, 2019

This course is really great to get some basics in Python and statistics for financial analysis. I really can recommend this course very much!

By Sudheer R

Jan 31, 2024

I am thoroughly impressed with its quality and content. The course delivered practical insights that greatly enhanced my analytical skills.

By Vijay M

Jan 31, 2021

Excellent course, theory back up with good exercises. I Will recommend everyone who wan to learn financial analysis through Python.thanks

By John H

Jun 13, 2020

A good overview of using statistics and Python using financial data as examples. I particularly liked the accompanying Jupiter notebooks.

By Cheung Y S

Jun 7, 2020

Great Course for beginners who want to apply data analysis with financial data. The logic and modelling are easy to follow and workable.