Python and Statistics for Financial Analysis
Course Overview: https://youtu.be/JgFV5qzAYnoPython
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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Syllabus
Syllabus - What you will learn from this course
Week 1
Visualizing and Munging Stock Data
Week 2
Random variables and distribution
Week 3
Sampling and Inference
Week 4
Linear Regression Models for Financial Analysis
FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Reviews
Un curso con una perceptiva muy refrescante en cuanto a los conceptos técnico-estadísticos y sumamente prácticos. e incluso baratos, de implementar dentro del mundo de la inversión. Muy buen trabajo.
This course explained the Python code in great details and the forum for support was great. I would like if there were more materials to read to understanding the statistics that were used.
I learned a lot about different charts and approaches to their evaluation. And at the same time I remembered the course of probability theory. It's not very simple, but you should try.
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.
