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Intermediate Python for Finance

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Course Report - Intermediate Python for Finance

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Are you a financial analyst or business looking to simplify stock portfolio management? Python can be used to automate financial tasks such as calculating risk, mapping market strength and visualizing stock price trends. This will help you save time, money, as well as your wallet.

This course will show you how to manipulate financial data using Python data structures and execution control statement. To help you work with pandas, the Federal Reserve Bank data will also be used. This data is crucial for understanding investment strategies. This course will teach you how to calculate risk from stock price data, and show this information in clear graphs. By the end of this course, you will be the new Python on Wall Street.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to Python for Finance

What You Will Learn

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more

In this course, you’ll learn how to use Python data structures, execution control statements, and DataFrames to manipulate financial data

You will also calculate risk based on stock price data, and display this data in easy to read plots

You will then work with pandas, using data from the Federal Reserve Bank, to explore national economic trends—an essential part of understanding investment strategies

Course Instructors

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Kennedy Behrman

Data Engineer, Author, Founder

Kennedy Behrman is a Senior Data Engineer at Harvest Savings and Wealth Technologies. He began using Python managing data pipelines in the film industry. Since then he has been involved in startups o...
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