Retour à Python and Statistics for Financial Analysis

4.4

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1,256 évaluations

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278 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....

Mar 26, 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.

Apr 23, 2020

Generally, the course offer many approach with financial data but not very easy to understand for beginner such as myself. I hope there will be more course like this in the future !!!

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par Heung K Y

•May 05, 2020

This course is more suitable for someone who has basic python knowledge. understand that there is a challenge with teaching programming languages via online platforms. It is quite difficult for the instructor to shorten the whole course into 4weeks material. Appreciate that the instructor and TA do spend time to answer student’s questions in the coursera forum. Candidate needs to spend extra time to view other sources to better understand the course material.

par Tristan H

•Mar 31, 2020

A wonderful course to get an introduction into financial statistics and a few python basics. This helped me understand many things about prediction and trading strategies. However to truly understand how to code a financial trading strategy you will need a lot more practice than you get in this course.

I really liked the course and would recommend it to anyone who wants to learn more about financial trading and python!

par Abderrezak

•May 07, 2020

-: some little mystakes, exercice level very low

+: large présentation that provide both python and core financial statistics skill within high level

Might need more time than expected, maybe twice, in order to code the exercice meanwhile watching the video. Cause the final exercice for each week consists just in changing some value. Not enough to know about coding. Except if you already properly know Python

par Dan S

•May 05, 2020

This course is a good starter for you to apply financial analysis by using Statistics models with Python programming. If you have experiments in either programming or statistics, you will find lessons are quite easy to understand. I recommend classmates could take a look at some python plugins such as flask, yfinance. They are wonderful tools for further study.

par Varun S

•May 08, 2020

The course was helpful and definitely interesting. The only problem I found was that a lot of pre-existing knowledge was required and I had luckily studied some of it but the course did not cover it, It would also be helpful to add more indicators to show what each variable stands for in the formula since I found myself forgetting and had to rewind.

par PUREUM W

•Jun 30, 2019

전공이 금웅공학이나 금융분야는 아니지만 관심이 많아 찾아보던중 이 강의를 들어보았습니다. 결과적으로 말씀드리면 이 강의는 대학교의 명성만큼 어느정도 수준이 높은 강의이며, 기초지식으로 파이썬과 통계학을 요구합니다. 저같은 경우, 전공이 IT여서 파이썬과 통계학을 배웠음에도 불구하고 금융적인 해석능력이 부족하여 많이 고생하였습니다. 만약 이 강의를 듣기를 고민하고 있다면, 자신이 통계학과 파이썬을 어느정도 할 수 있는지 자체 레벨테스트를 할 필요가 있습니다. 강의의 구성과 교수님의 설명은 전체적으로 만족스럽습니다. 이 교수님이 조금 더 낮은 레벨의 강의를 개설하여 입문자를 더 많이 늘렸으면 좋겠네요.

par Shiang-ping H

•Feb 14, 2020

Great Intro. course to Python application in the Financial domain. It will be beneficial to have some Python and Pandas background. Good examples, very practical.

It's a great course - with many practical examples. But this course needs some basic Statistics and Python knowledge to really follow along with some "deep concepts".

par Mario

•Mar 25, 2020

It is a short and well organized course with a gently introduction to the popular Python's data analysis library, Pandas. In addition, the course shows sufficient statistical and financial tools to build simple and practical strategies that put some light on the obscure (at least for some people) market stock analysis.

par George S

•Apr 13, 2020

First course I've completed using Coursera initially found it difficult to get to grips with embedded python, but quickly got to grips with it, really interesting course and a brilliant introduction to python and statistics for financial analysis think the course was really well structured.

par Goh S T

•Apr 04, 2020

Generally a very informative course on how to use python for financial analysis. Some of the concepts are not clearly explained. Would recommend to have a little basic finance background and to have some ideas about statistics as these concepts are only vaguely explained during the course.

par Pokman Y

•Apr 19, 2020

Good and quick course for beginner to use python for financial analysis. The Jupyter Notebook is advanced development environment for python and academic/scientific researcher, but difficult for beginner. Would suggest to have a summary card for all the commands used during the course.

par Juan d D

•May 25, 2020

The content of the course is really good.

The amount and density of the information for the last week is high. Specially compared with first week. Would be great if it could be balanced information per week.

Time to time the (English) pronunciation wasn't good enough.

par Deep S

•Jun 02, 2020

The course has offer me a insight in Python in Statistics and how I can implement in the field of Finance.

Overall difficulty was moderate to high, Week 4 was way to difficulty, I would suggest that a person with Knowledge on Statistics should apply to this course

par Julian W

•Jan 09, 2020

Nice intro to using python in financial statistics. I dont have financial background so a lot of things were too complex for me. In general this course will not teach you statistics or python but will rather show potential in learning both of them together.

par Zacharias L

•Mar 10, 2020

I have learned quite a lot from this course. Econometrics and statistics are an important part of Financial Analysis of course. I would prefer if the course drew more deeper into the mechanics of Python, however.

par Matthew B

•Aug 03, 2019

Good course with introduction to some statistical concepts and surface level python. Does not go into great depth with python and the jupyter notebooks could be a bit more challenging but overall a solid course.

par Quentin D

•Oct 02, 2019

Good class to learn the basics of statistics for financial analysis, the Jupyter Notebook is great and the exemples are very practical. It makes it a good starting point if you never used python before.

par Eric C

•Nov 10, 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.

par Edoardo C

•Apr 19, 2020

Very basic and easy to follow if you have enough programming and mathematics background.

It provides a useful insight on some of the foundations of the techniques and ideas used in Financial analysis.

par Anniina K

•Apr 13, 2020

This was a really good and useful course for me. All of the concepts were explain well. However, since I am very familiar with basic statistics, some of the things were a little bit too easy for me.

par Sai G B

•Aug 04, 2019

Course content, pacing and assignments were excellent. However, it is hard to get all the statistical concepts without prior background. Providing reading materials in the relevant topics would help

par Abigail A

•Jan 15, 2020

Gives a good introduction to the topic but I needed to allocate time for further reading on the topics presented and to fully grasp the concept, which is more or less expected of any student.

par Norberto Q C

•Apr 04, 2020

Deberían actualizar los codigos que cambiaron porque es muy dificil sino para alguien que no sabe de python buscarlo por su cuenta. Por ejemplo, el codigo para importar archivos csv cambio

par Anton A

•Apr 08, 2020

Some spelling mistakes in the course materials, but otherwise a good overview of the topic. Would have liked to see the notebooks be more interactive, like for weeks 1 and 2.

par Ratish R

•Apr 29, 2020

The study materials and lectures are really helpful to gain the required knowledge of Python and its application in financial field. The model creation was the best one.

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