This course focuses on using Python for financial data analysis, as it’s becoming the leading programming language for data science due to its simplicity and readability. It covers both Python coding and statistical concepts and shows their application in analyzing stock data. The course is set up with a Jupyter Notebook environment, allowing for hands-on coding practice without the need for additional installations.
NON-CERTIFICATION COURSE
Python and Statistics for Financial Analysis
RM3,899.00
Per Person
LEVEL
Intermediate
DURATION
3 Day
TRAINING DELIVERY FORMAT
Face-to-face (F2F) / Virtual Class
CLASS TYPE
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Course structure
Course Overview
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.
Jupyter Notebook environment is configured in the course platform for practicing python coding without installing any client applications.
Course Objectives
By the end of the course, you can achieve the following using python:
- Import, pre-process, save and visualize financial data into pandas Data frame.
- 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 a multiple linear regression model
- Evaluate the performance of the trading model using different investment indicators
Skills You Will Gain
- Statistical Analysis
- Financial Analysis
- Financial Data Analysis
- Python Programming
- Data Visualization (DataViz)
Course Prerequisite
You will get the most out of the course if you have basic knowledge in probability.
Course Content
Module 1: Visualizing and Munging Stock Data
Why do investment banks and consumer banks use Python to build quantitative models to predict returns and evaluate risks? What makes Python one of the most popular tools for financial analysis? You are going to learn basic Python to import, manipulate and visualize stock data in this module. As Python is highly readable and simple enough, you can build one of the most popular trading models – Trend following strategy by the end of this module!
Who Should Attend
The course on Python and Statistics for Financial Analysis is designed for anyone who wants to learn how to use Python and statistics to analyze financial data, including financial analysts, quantitative analysts, data scientists, investment bankers, risk analysts, traders, and anyone else who is interested in using Python and statistics to analyze financial data.
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RM3,899.00
Per Person
LEVEL
Intermediate
DURATION
3 Day
TRAINING DELIVERY FORMAT
Face-to-face (F2F) / Virtual Class
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Frequently asked questions
What are the prerequisites for the course?
The course assumes that you have some basic knowledge of Python programming and statistics. However, if you don’t have any experience with either of these topics, don’t worry! The course will start with a review of the basics, so you’ll be able to catch up quickly.
What will I learn in the course?
The course will teach you how to use Python and statistics to analyze financial data. You’ll learn how to import, manipulate, and visualize financial data, as well as how to build financial models using Python. You’ll also learn how to evaluate the performance of financial models.
What are the benefits of taking the course?
There are many benefits to taking the course on Python and Statistics for Financial Analysis. First, you’ll learn how to use Python and statistics to analyze financial data. This is a valuable skill that can be used in a variety of financial jobs. Second, you’ll gain a deeper understanding of financial concepts. Third, you’ll be able to build your own financial models. This can help you to make better financial decisions.
