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The Data Science Lifecycle 🔄
Sources and Types of Data 🛠️
Data Wrangling 💫
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Understand what Data Science is: Discover how data powers decisions in industries like healthcare, finance, social media, and even fashion. Learn the difference between AI, machine learning, and deep learning.
Explore the Data Science Lifecycle: Follow the full cycle from identifying a problem, collecting the right data, cleaning and processing it, through to analysing results and visualising insights.
Apply Data Science to Solve Real-World Problems: Learn how data can detect fraud, track missing items, predict trends, and improve products – and how you can build solutions that make a difference.
Data science is about using data to understand the world and solve real problems. It’s used in everything from social media and sports to health and climate action. Learning it helps you think critically, work with technology, and prepare for jobs of the future.
Learn the basics about images, data compression, classification and colour detection using Python for Machine Learning. Understand AI principles and ethics.
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Learn the basics about signals and statistics, and how to analyse, optimise and process signal data using Python for Machine Learning. Understand AI principles and ethics.
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Discover the many career paths within cyber security, from offensive and defensive roles to the emerging specialities driven by advancements in AI. Learn about Ethical hacking and the various types it goes into.
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