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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.

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Rating 4.2 based on 155 ratings
Length 5 weeks
Effort 4 weeks of study, 3-4 hours/week
Starts Dec 7 (14 weeks ago)
Cost $49
From The Hong Kong University of Science and Technology via Coursera
Instructor Xuhu Wan
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Finance

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What people are saying

python and statistics

This gives a application of all the three famous sectors viz, finance, python and statistics.

It is awesome that makes me learn python concepts regarding Python and Statistics for Financial Analysis more than ever before I don't know it is somehow overlap with the course isom2500.Moreover,i don't think that have learned a lot on Python.

A great introductory course to Python and Statistics It's great!

It was fun and interesting to learn Python and Statistics in this course.

Course goes a bit too fast concerning the translation of statistiques to python This course is really great to get some basics in Python and statistics for financial analysis.

I have already done 2 courses on Python and Statistics for Finance and this was the third one.

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.

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financial analysis

It is a really good course for learning basic stats and financial analysis on Python.

This course has shown us how statistics is related to financial analysis and IT.

The professor spends sooooo much time talking about the statistics concepts and spends soooo little time applying the knowledge to financial analysis.

It is not about "Statistics for Financial Analysis".

I feel I am taking an introduction course to statistics and financial analysis is just an excuse the teacher use to show us the content he teaches is somewhat useful.

Excellent guide for freshman to financial analysis.

I have learned how to use use python to build and validate leaner model, whatta wow :D A very useful course for python and statics financial analysis!

Good class to learn the basics of statistics for financial analysis, the Jupyter Notebook is great and the exemples are very practical.

It demonstrates how python can be applied on financial analysis.

To build your applied financial analysis skill set, this high caliber course ties together python programming practice with statistics.

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stock market

It is a very good course to learn the basics in python to analyze financial stock market data.

Very interesting perspective to analyze the stock market with the help of python.

It excels at the process of taking you from zero to hero in the applications of python for financial data analysis Overall a great experience but was not having a finance background so using these stock market terms for the first time was a challenge.

I learn how to identify patterns and creates models to take advantages in the stock market Great class for quick dive into python!

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

very interested but the exercice are little easy and does not help to look for at home This is a good start to introducing python in a stock market context.

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using python

it explains how statistic concepts can be applied into financial-related examples using python.

Covers excellently the application of statistics using python to analyse financial data in a lucid manner.

Overall, the course was good, but I felt that the course was a bit abrupt in its ending, as I would have wanted to learn about nonlinear regression models, making more trading strategies, and automatic the process using Python.

Nice intro to using python in financial statistics.

very clear explanations, very useful and applied coding using python and its relevant modules.

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.

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very useful

Despite that, the materials were very useful and insightful.

This course was really enjoyable : well structured, a likeable professor and very useful and illustrative exercises.

i have learned alot I enjoy very much very useful Good and very practical course!

Very useful overview of dataframe analysis and visualization!

I appreciated Jupiter notebook that made it very useful and full of practical applications.

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very practical

this course is very practical!

Good examples, very practical.

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learn how

I wanted to learn how to code in Python.

The course didn't really provide a platform for us student to learn how to code since the basics were not fully covered.

The reason why is because I wanted to learn how to code in Python.

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Financial Data Entry $36k

Financial Data Analyst 2 $63k

Financial Operations Data Analyst $64k

Data Analytics Specialist (Financial Crimes) $65k

Financial Data Specialist $65k

Junior Financial Data Analyst $69k

Financial/Clinical Data Analyst 4 $72k

Financial/Clinical Data Analyst 3 $77k

Financial and Data Management Analyst $81k

Financial Data Management Analyst $83k

Sales/Financial Data Analyst $87k

Team Financial Data Analyst Lead $110k

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Rating 4.2 based on 155 ratings
Length 5 weeks
Effort 4 weeks of study, 3-4 hours/week
Starts Dec 7 (14 weeks ago)
Cost $49
From The Hong Kong University of Science and Technology via Coursera
Instructor Xuhu Wan
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Finance

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