What is data science?
Data science is an area where data is examined for patterns and characteristics. This includes a combination of methods and techniques from mathematics, statistics and computer science. Visualization techniques are frequently used in order to make the data understandable. The focus is on the understanding and usage of the data with the aim of obtaining insights which can further contribute to the organization.

How does it relate to AI, for instance Machine Learning and
Deep Learning?

Artificial Intelligence is a discipline which enables computers to mimic human behavior and intelligence.
Machine Learning is part of Artificial Intelligence which focuses on ‘learning’. Algorithms and statistical models are being designed for autonomous learning of tasks from data, without giving explicit instructions upfront.
Deep Learning is part of Machine Learning that uses artificial neural networks. This type of model is inspired by the structure and function of the human brain.

Aspiring data scientists should take a strategic approach to their career goals. Start by identifying your ideal employer in the field, whether it's a tech giant like Netflix, Amazon, or Google, or another company that aligns with your interests. Once you've pinpointed your target organizations, research their specific data science job openings. These listings often provide detailed information about the skills, qualifications, and experience they seek in candidates. Use this valuable insight as a roadmap to guide your learning and development. By tailoring your skills to match the requirements of your dream companies, you can create a focused path towards your desired data science career. This approach not only helps you set clear objectives but also ensures you're developing the most relevant and in-demand skills for your target roles.

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