Zurück zu Python and Statistics for Financial Analysis

4.5

380 Bewertungen

•

76 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....

Aug 04, 2019

Great course! Very didatic explanations about financial and statistical concepts also with some interesting practical Python for Finance! Looking forward for new courses from same Univ. and prof.!

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.

Filtern nach:

von DONG C

•May 09, 2019

well illustrated and practical skills

von Steven D

•May 01, 2019

I learned a lot about how to implement financial statistics in Python and some added knowledge on statistics. Great Course.

von Boudokhane M

•May 01, 2019

This course was really enjoyable : well structured, a likeable professor and very useful and illustrative exercises. the use of Jupyter notebooks was also a very good idea.

von Jing H

•Apr 16, 2019

Clear instruction and very useful python code for applied case study.

von Steve R

•May 06, 2019

Associate Professor Xuhu Wan of HKUST ensures that a student learns both the python programming to build predictive models and the concepts of the models. To build your applied financial analysis skill set, this high caliber course ties together python programming practice with statistics.

von Torres M

•May 06, 2019

Me gusto

Es un curso muy completo

von TJ D

•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.

von Chan W W

•Jul 07, 2019

Great fundamental course provided by Prof Xuhu WAN. After finishing the course, I am appreciated that he put lots of good efforts in the training materials. All concepts are delivered with clear examples! Highly recommend to take this course. Thank you very much.

von 裴品傑

•Jun 05, 2019

很不錯，但最後的回歸有點難

von Tushar G

•Jun 09, 2019

An interactive and succinct course to get an insight into the statistical analysis used in the finance domain on daily basis.

von Hei T Y

•Jul 25, 2019

Good course! It demonstrates how python can be applied on financial analysis. Better to have some prior knowledge on python and statistics before taking the course because this course seems to aim at showing the relationship between textbook statistics and python in financial analysis instead of teaching you basic concepts from scratch.

von Kevin L

•Jul 27, 2019

I have no finance background. But i have some extent of programming knowledge. I learn a lot from this course not only finance terms, meaning behind them and how we apply statistic using python to analyze, evaluate and predict market. This course is very pratical thank you Professor Wan!

von Lorenzo P

•Jul 31, 2019

A complete course about Statistics and Econometrics tools for finance. I appreciated Jupiter notebook that made it very useful and full of practical applications. The level of the course is bachelor's degree. Recommended for whom who have a previous experience with statistics and wish a refresh on it.

von Ernani H M J

•Aug 04, 2019

Great course! Very didatic explanations about financial and statistical concepts also with some interesting practical Python for Finance! Looking forward for new courses from same Univ. and prof.!

von Тарасов П С

•Aug 09, 2019

I highly recommend this course for everyone who wants to gather some practical knowledge. Although, you better have some programming skills before attending this course. Thanks!

von Franz K

•Aug 13, 2019

More python courses with finance topics, love it!

von N B g

•Aug 11, 2019

Try to incorporate some coding exams during the course.

von Sumedh K

•Aug 11, 2019

One of the finest course in this field. I have already done 2 courses on Python and Statistics for Finance and this was the third one. Amongst the three this is easily the easiest to understand and best course for sure. I will look forward to course from this professor or university in the future. Week 3 and Week 4 from the course are like a gold mine for any learner. And the jupyter notebook exercises give just the required practice immediately after the concept is learned.

von 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!

von LIN H

•Aug 19, 2019

This course is very clear and it taught me by the most efficient way to understand the materials.

von Rajesh K M

•Aug 21, 2019

The course was awesome

von Efrain A R A

•Aug 27, 2019

Knowledge it was great! I learn how to identify patterns and creates models to take advantages in the stock market

von Evgeny M

•Aug 26, 2019

Great class for quick dive into python!

von Rohan J

•Sep 07, 2019

It was fun and interesting to learn Python and Statistics in this course. I hope it helps me in my future endeavors

von Ahmad M

•Jan 31, 2019

i have learned alot

Coursera arbeitet mit erstklassigen Universitäten und Organisationen zusammen, um Online-Kurse anzubieten und dadurch universellen Zugriff auf die weltweit beste Ausbildung zu ermöglichen.