What you will learn
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Python
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Finance Market
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Stock Data
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Data
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Finance Data
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!
Introduction
Financial Basics: Why they matter
Stock Market basics
Stock metrics explanation: Fundamental and Technical analysis for beginners
Understanding Stock Pricing and Market Mechanisms
ETF Basics for Beginners: What Are They and Why You Should Invest
Top stock metrics every investor should know: Detailed guide for evaluating stocks
Getting started with Python for finance
Our first code with Python
Getting stock historical price data with Python
Streamlit for Python and yfinance
Getting company financial statements with Python
Getting the list of Nasdaq stocks and stock information
Building Stock historical data dashboard with Python and Streamlit
Streamlit financial data dashboard Part 1: Structure
Streamlit financial data dashboard Part 2: Commodities
Streamlit financial data dashboard Part 3: Crypto
Streamlit financial data dashboard Part 4: ETF's
Streamlit financial data dashboard Part 5: SP500 constituents
Streamlit financial data dashboard Part 6: Review the dashboard
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Meet Your Instructor
About Instructor
QA Leader with 15+ years driving quality excellence across FinTech, Enterprise SaaS, and Mobile platforms. Currently leading QA consultancy at MagiQa Inc, delivering comprehensive testing solutions for C2C financial services projects. 🎯 EXPERTISE: - Test Strategy & Leadership: Led QA teams, designed automation frameworks - Automation Engineering: Python/Pytest, Cypress, Selenium/Java, API testing (REST/SOAP) - Domain Knowledge: Financial services, crypto exchanges (Robinhood, Kraken), B2B SaaS, mobile apps - Full-Stack Testing: E2E automation, CI/CD integration, performance testing, security validation
$ 19.99
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Course Duration5 h 58 m 11 s
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Course LevelBeginner
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Student Enrolled0
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LanguageEnglish
This Course Includes
- 5 h 58 m 11 s Video Lectures
- 1 Quizzes
- 0 Assignments
- 0 Downloadable Resources
- Full Lifetime Access
- Certificate of Completion