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Sarah Underwood
Topics Covered
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Topics Covered
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Topics Covered
- Define a market: identifying customers and competitors
- The theory of understanding markets: the differences between a market and an industry
- Analyse a market: the market size and its potential
- How to determine a business’ target market
- Competitor analysis
- How to target specific customers
- The business plan: customers and competitors
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Reviews summary
Learn how to study customers and competitors
This course does not have a large sample size of reviews to draw from, but two 5-star reviews indicate a positive experience. Students appear to be pleased with the content to some degree.
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Starting a Business 3: Customers and Competitors.
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Learners who complete Starting a Business 3: Customers and Competitors will develop knowledge and skills
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Provides a comprehensive overview of the market research process. It covers all the steps involved in conducting a market research study, from planning and design to data collection and analysis.
Discusses the challenges that large companies face when they try to innovate. It provides insights into how to overcome these challenges and stay ahead of the competition.
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Discusses the impact of big data on business and society. It provides insights into how to use big data to gain a competitive advantage.
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Provides a methodology for building successful startups. It emphasizes the importance of testing ideas quickly and cheaply, and it provides tools and techniques for doing so.
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Dieses Buch bietet einen umfassenden Überblick über die Marktforschung. Es deckt alle Schritte des Marktforschungsprozesses ab, von der Planung und Konzeption bis zur Datenerhebung und -analyse.
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Provides a practical guide to using Microsoft Excel for marketing analytics. It covers a wide range of topics, from data cleaning and visualization to statistical modeling and forecasting.
Provides a comprehensive overview of statistical learning. It covers a wide range of topics, from linear regression to support vector machines.
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Provides a practical guide to using machine learning for business. It covers a wide range of topics, from data preparation to model building.
Provides a practical guide to using deep learning for building AI applications. It covers a wide range of topics, from neural networks to natural language processing.
Provides a comprehensive overview of machine learning. It covers a wide range of topics, from supervised learning to unsupervised learning.
Provides a practical guide to using Python for machine learning. It covers a wide range of topics, from data preprocessing to model evaluation.
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Provides a comprehensive overview of R for data science. It covers a wide range of topics, from data import to data visualization.
Explores the concept of disruptive innovation and how established companies often fail to recognize and respond to new technologies that threaten their market position.
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Provides a framework for understanding the challenges of marketing and selling technology products to mainstream customers.
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Provides a step-by-step guide to acquiring customers and building a successful business.
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Provides insights into the process of building a successful startup and creating a new market.
Provides practical advice on the challenges of building and running a successful business.
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Provides a framework for scaling a startup rapidly and efficiently.
Provides a practical guide to using the lean product development methodology.
This classic textbook that provides a comprehensive overview of marketing management. It covers all the major concepts and frameworks that are used in the field, and it is written in a clear and concise style.
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