Data Analytics & Python for Finance

Name: Data Analytics & Python for Finance
Availability: InStock
Author: FreeAcademy

Intermediate

Assumes foundational knowledge. Builds on basics.

Learn to analyze financial data using Python. Master NumPy, Pandas, data visualization, portfolio analytics, technical analysis, financial modeling, and statistical analysis. Build real-world projects including an automated investment research system.

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Course Content

13 modules • 26 lessons

Course Introduction

1 lesson

1.1

Welcome to Data Analytics & Python for Finance

Module 1: Getting Started with Python

6 lessons

2.1

Meet Your Python Playground

2.2

Variables and Data Types

Module 3: Financial Data Sources

2 lessons

4.1

Financial Data Sources

4.2

Accessing Real-World Financial Data

Module 5: Data Visualization

1 lesson

6.1

Creating Compelling Financial Visualizations

Module 6: Portfolio Analytics

1 lesson

7.1

Portfolio Construction and Optimization

Module 7: Technical Analysis

1 lesson

8.1

Implementing Technical Indicators and Strategies

Module 8: Financial Modeling

1 lesson

9.1

Building Financial Models and Valuations

Module 9: Statistical Analysis

1 lesson

10.1

Statistical Methods for Financial Research

Module 10: Capstone Project

1 lesson

11.1

Building a Complete Investment System

Module 11: Advanced Topics & Next Steps

1 lesson

12.1

Data Analytics & Python for Finance

Course Content

Course Introduction

Welcome to Data Analytics & Python for Finance

Module 1: Getting Started with Python

Meet Your Python Playground

Variables and Data Types

Basic Arithmetic Operations

Working with Lists

Working with Dictionaries

Your First Financial Calculator

Module 2: Essential Python Libraries

Introduction to NumPy

Essential NumPy Functions

Introduction to Pandas

DataFrame Operations

Reading and Writing Data

Module 3: Financial Data Sources

Financial Data Sources

Accessing Real-World Financial Data

Module 4: Exploratory Data Analysis

Understanding Returns

Measuring Volatility and Risk

Correlation Analysis

Analyzing and Understanding Financial Datasets

Module 5: Data Visualization

Creating Compelling Financial Visualizations

Module 6: Portfolio Analytics

Portfolio Construction and Optimization

Module 7: Technical Analysis

Implementing Technical Indicators and Strategies

Module 8: Financial Modeling

Building Financial Models and Valuations

Module 9: Statistical Analysis

Statistical Methods for Financial Research

Module 10: Capstone Project

Building a Complete Investment System

Module 11: Advanced Topics & Next Steps

Advanced Topics and Career Paths

Course Conclusion

Your New Beginning in Quantitative Finance