Python In Finance 2025

Get ready for using Python in data gathering and analysis. Python, Data, Finance Market.

What you'll learn

Understand the basics of Python for financial analysis: set up a Python environment and use essential libraries like pandas, numpy, and matplotlib

Analyze stock market data using Python: gain skills in importing, cleaning, and processing stock market data from various sources, including APIs and CSV files.

Creat Python scripts for stock market: master the creation of Python scripts to calculate key financial metrics such as moving averages, RSI, Bollinger band etc

Automate stock market data analysis: learn to automate the analysis of stock trends, generate actionable insights

Requirements

Basic Python programming

Description

Embark on an exciting journey into the world of finance and stocks with this comprehensive course, designed to take you from the fundamentals to creating actionable insights. Whether you are a complete beginner or someone with a budding interest in financial markets, this course equips you with the skills to analyze and visualize stock market data effectively.Start by familiarizing yourself with key financial terms like stocks, ETFs, and market sectors, and gain a solid foundation in understanding how the stock market operates. From there, dive into practical lessons on sourcing reliable financial data from APIs and public datasets. Learn how to process this data and display it in a meaningful way using tools like Python, Pandas, Plotly, Dash and Streamlit.The course takes you step-by-step through building customized dashboards for tracking market performance, applying key criteria for stock filtering, and creating heatmaps to visualize stock trends. With hands-on examples, you will master the art of transforming raw data into actionable insights.By the end of this course, you will have the confidence to analyze market trends, monitor stocks, and create professional-grade dashboards—empowering you to make informed investment decisions or share insights with others. Join now and turn your curiosity into expertise!

Overview

Section 1: Introduction to the course and prerequisites

Lecture 1 Introduction

Lecture 2 Financial Basics: Why they matter

Lecture 3 Stock Market Basics

Lecture 4 Stock metrics explained: Fundamental and Technical analysis for beginners

Lecture 5 Understanding Stock Pricing and Market Mechanisms

Lecture 6 ETFs for Beginners What are they and why you should invest ETF basics explained

Lecture 7 Top Stock metrics every investor should know detailed guide to evaluating stocks

Lecture 8 Getting started with Python for finance

Section 2: Starting practical coding: one little step at a time

Lecture 9 First little code with Python

Lecture 10 Get Stock historical price

Lecture 11 Streamlit for Python and yfinance

Lecture 12 Company financial statements with Python and Streamlit

Lecture 13 Getting the list of Nasdaq stocks and stock information

Lecture 14 Building Stock historical data dashboard

Section 3: Building dashboards

Lecture 15 Streamlit financial data dashboard_ Part 1 - Structure

Lecture 16 Streamlit financial data dashboard_ Part 2 - Commodities

Lecture 17 Streamlit financial data dashboard_Part 3_Cryptos.

Lecture 18 Streamlit financial data dashboard _Part 4_ ETFs

Lecture 19 Streamlit financial data dashboard_ Part 5_ SP500

Lecture 20 Streamlit financial data dashboard_ Part 6_ Running as a system

Section 4: Data Source review

Lecture 21 EODHD as data source

Lecture 22 FMP as Data Source

Section 5: Advanced Dashboards

Lecture 23 Stock Price Dashboard with python and Streamlit

Lecture 24 Python code for SMA5, SMA8 and SMA13 analysis

Lecture 25 Python dashboard for SMA50 and SMA200 analysis

Beginner Python and Finance enthusiasts