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4.5

383 Bewertungen

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77 Bewertungen

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....

Jul 05, 2019

The videos in this course are exceptional and very interesting. The Jupyter notebooks provide a good template for applying the methods and techniques.

Jan 21, 2019

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

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von Edoardo R

•Feb 06, 2019

Good as an introductory course, does not go more in depth

von Aria Z

•Apr 23, 2019

pros

(1) h

von 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.

von Teren D

•Jul 12, 2019

This is a good start to introducing python in a stock market context. Hopefully there can be a continuation of it.

von SIDIBE A B

•Jul 21, 2019

very interested but the exercice are little easy and does not help to look for at home

von Francesco P

•Jul 23, 2019

Overall nice course. Sometimes the instructor skips some logical steps. It would also be nicer to see the coding happening live.

von Andrea B

•Aug 02, 2019

A good course to start learning Python with a focus on trading strategies

von 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.

von 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

von Vijay D

•Aug 15, 2019

It is course to learn the linear regression along with stock market basic information and strategy. Well organised and simple takeaways.

von Sudeep K

•Aug 11, 2019

Loved the way it was structured. would've liked more if we had more python coding exercises

von Baptiste M

•Aug 18, 2019

Good introduction to Python. Need aforelearnt competencies in statistics. Course goes a bit too fast concerning the translation of statistiques to python

von Ramazan A

•Aug 19, 2019

Background required, the course often provides no additional/explaining information about technical details, need to use google)

von Antariksh A

•Aug 30, 2019

The course will introduce all the basic concepts very nicely and is really good for beginners

von amit d

•Sep 17, 2019

Professor can do hands simultaneously with lecture then it will be more beneficial and easy to understand instead of explaining from slides

von King Y C

•Feb 08, 2019

The course is somehow overlapped with the course ISOM2500.Moreover,i do not think that I have really learned a lot regarding Python.

von Sui W T

•Feb 10, 2019

It's a bit difficult for students who have no either coding or statistic background to understand the content of the course.

von Mehul V

•Mar 11, 2019

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

von Krzysztof P

•Jun 29, 2019

I have mixed feelings about the course. It shows very practical aspects of building trading stategy in Python, which is still quite unique topic here. It also offers a lot of practice and ready to use and modify solutions delivered as Jupyter notebooks. This course definitely expect you to know a bit about statistics and also to know Python programming, on basic level at least. On the other hand I think the course does not cover the topic deep enough, we've got only some simple linear regression model based on some not-so-creative feature engineering. It does not cover such aspects as HFT vs swing trading strategies, using slipage and transaction costs to evaluate strategy, managing invested capital and many more. I've expected a bit more, to be honest. The course is well done as ready-to-use implementation of very simple concept - but there's nothing more to expect here.

von Đan T L

•Jul 04, 2019

Interesting and easy to understand for people with basic background or have basic knowledge about finance or statistic. However, I wish some of the videos may have explained more about how to use the data to solve real life issues. Even though some of the practices may explore it, it appears not deep enough for me

von Luke L

•Sep 08, 2019

Lots of info to learn. Does not challenge you to actually write the code, which is a big drawback.

von Anand S

•Sep 07, 2019

This is a course more for statistics than python. All we understand is how to use the Python libraries and their functions to compute statistical data.

90% Statistics

10% Python.

von HIMANSHU V

•Aug 13, 2019

Lectures are not very informative. Things are said directly and not explained well. Sadly I paid $50 for this.