The Complete Investor Bootcamp
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Unclaimed ProfileThe Complete Investor Bootcamp by 365 Careers is a comprehensive, practical masterclass designed for individuals seeking to transition from casual observers to sophisticated, data-driven market participants. The curriculum effectively bridges the gap between theoretical academic finance and real-world implementation. Learners start with fundamental hands-on exercises, such as navigating financial platforms, analyzing 10-K filings, and extracting historical stock data. The course then elevates to sophisticated portfolio management techniques, guiding students through statistical calculations of volatility, risk, and correlation in Excel or Google Sheets. It demystifies highly regarded investment models, including the Capital Asset Pricing Model (CAPM), Modern Portfolio Theory (MPT), and the efficient frontier. Additionally, the program covers core equity valuation metrics like the Dividend Discount Model, price multiples, and index construction methodologies. By blending fundamental valuation with behavioral finance and technical analysis chart patterns, the bootcamp offers a 360-degree view of market dynamics. This course is highly recommended for aspiring portfolio managers, retail investors seeking structural rigor, and finance students wanting to acquire actionable modeling skills.
About the creator
365 Careers
View full profileData Science & Finance · Sofia, Bulgaria
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365 Careers is a premier educational provider specializing in finance, data science, and emerging artificial intelligence technologies. Founded by industry veterans with deep corporate roots—including professional tenures at prestigious global firms like PwC, Coca-Cola European Partners, and Infineon Technologies—365 Careers bridges the gap between academic theory and real-world execution. As the co-founders of the widely acclaimed 365 Data Science platform, the team brings a structured, highly analytical pedagogical framework to every course they design. Their expansive portfolio on AllPros covers foundational corporate strategies, comprehensive CFA preparation, practical financial analysis, and cutting-edge artificial intelligence, including agentic AI and machine learning bootcamps.…Show more
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Program Overview
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Price may change · updated within 1–2 weeks
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Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- How to read a company’s summary page on Yahoo Finance
- Download historical stock prices
- Calculate rates of return and volatility measures
- Compare the risk and return profiles of different securities
- Calculate risk and return of a portfolio of stocks
- Understand the concepts of correlation and diversification
- Build the efficient frontier in Excel/Google Sheets
- Discover how to download a company’s annual 10-K report and how to read it
- Understand the Modern Portfolio Theory and use the Capital asset pricing model to determine expected return on equity in stock valuation models
- Calculate the Sharpe and Treynor ratios, as well as indicators like M2 and Jensen’s alpha
- You will also master fundamental valuation concepts such as fair and market value
- Distinguish between public and private equity securities
- Compare the market and book value of equities
- Calculate the intrinsic value of a stock using the Dividend discount model
- Explain why we use price multiples to value equity securities
- Perform industry analysis
- Use the industry life cycle model
- Define primary and secondary markets
- We will also calculate and interpret the value, price, and total return of an index
- Contrast the different weighting methods used in index construction
- Summarize the factors that affect market efficiency
- Characterize behavioral finance and its relevance to understanding market anomalies
- Review the principles of technical analysis
- Examine common chart patterns
Best For
- Aspiring financial analysts looking to build practical investment modeling skills
- Retail investors who want to move beyond intuition toward data-driven portfolio management
- Finance students seeking a bridge between academic theory and real-world Excel application
- Individuals aiming to perform professional-grade equity research and fundamental analysis
Not For
- Traders interested exclusively in day trading or high-frequency speculative strategies
- Learners looking for 'get rich quick' schemes or guaranteed stock picking advice
- Advanced quantitative finance experts seeking highly complex algorithmic or machine learning training
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