Financial Analytics with Python

Offered byGreat Learning

Financial Analytics with Python
at
Great Learning
Overview

Learn how to import, clean, and format financial data from various sources like spreadsheets, databases, and financial APIs

Duration	1 hour
Total fee	Free
Mode of learning	Online
Difficulty level	Beginner
Official Website	Explore Free Course
Credential	Certificate

Financial Analytics with Python
at
Great Learning
Highlights

Earn a certificate from Great Learning
Learn from industry experts

Financial Analytics with Python
at
Great Learning
Course details

Who should do this course?

Individuals with strong quantitative skills seeking to enter the finance industry or build a career in financial analytics

What are the course deliverables?

Ability to handle financial data by cleaning, merging, and transforming datasets for analysis
Effectively communicate insights through compelling charts, graphs, and dashboards
Build financial models using Python to analyze investments, estimate risk, and perform company valuation
Utilize quantitative methods to analyze portfolio performance and optimize asset allocation
Develop scripts and functions to automate repetitive tasks and generate reports

More about this course

In this session, we will understand how banks and other financial institutions use predictive analytics for modelling their risk
Risk analytics has attracted a lot of attention in the wake of the recent financial crisis
With the help of risk analytics, we can answer questions such as "Can the banks predict when their loans would default?", "Can the banks estimate the aggregate default rate?", "What aggregate tools can be used in this pursuit?”, etc
In this session, we will understand two very important concepts in the field of banking which are market risk and credit risk
Going ahead, we will also understand how can we predict or prevent fraudulent transactions
Then, we will have a demo where we will understand the concept of market risk and credit risk with python
Finally, there will be a QnA session, where the attendees can ask queries related to whatever has been covered in the session

Financial Analytics with Python
at
Great Learning
Curriculum

Microsoft Excel

AWS

Python

Java

Web Design

Web development

SQL

UX Design

Financial Analytics with Python
at
Great Learning
Faculty details

Mr. Bharani Akella

Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been on the technical content side for the last 2 years and has taught numerous classes with respect to data science.