You are currently accessing the institutional-grade blueprint for <b>Case Studies: Facebook, Twitter, LinkedIn, Apple – Loony Corn</b>. Instant digital deployment and lifetime encrypted access are guaranteed immediately upon transaction clearance.
What you'll learn
- Understand common business models in the tech industry
- Spot trends, and possibly pick the winners and losers of tomorrow
- Understand how we got to today – the key players, their successes, failures, strengths and weaknesses
- Make sense, line-by-line of the financial statements and investor reports of tech companies
Requirements
-
Students should have heard of Apple, Twitter, Google, Facebook and LinkedIn and ideally should have used some of these companies products
Description
- Conducted by an instructor who worked in Sales Finance at Google, and set up Product Finance at Flipkart
Whether you are an engineer seeking to understand business, or a business/strategy person seeking to understand technology – this course is right for you.
What's Covered:
- Case studies of Apple, Facebook, Twitter and LinkedIn
- In-depth analysis of the business models of these companies
- Line-by-line walk through their financial statements and investor filings
- Product choices – good and bad – made by these companies
- Competitive analysis of each company: how they stack up in revenue, growth, profitability and valuation
Who this course is for:
- Aspiring entrepreneurs – those who don't learn from history are condemned to repeat it
- Engineers and product managers – folks with a strong understanding of product, now looking to get the business knowledge needed to build a business
- Finance and business professionals – folks who get the business aspects, and are now looking to really understand product and technology
Course content
5 sections • 33 lectures • 3h 52m total length
- The Business of Technology
- Case Study: Apple
- Case Study: Twitter
- Case Study: Linkedln
- Case Study: Facebook
Get Case Studies: Facebook, Twitter, LinkedIn, Apple – Loony Corn, Only Price $37
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Trading foreign exchange, cryptocurrencies, and algorithmic assets on margin carries a high level of risk and may not be suitable for all investors. Past performance of any trading system or quantitative blueprint does not guarantee future results.<br><br><b>Asset Classification:</b>

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