Principles of Data Science
About this course
In this course, you'll gain essential skills to transform raw data into actionable insights, covering the full data science lifecycle, from preparation to advanced machine learning techniques. By focusing on modern models and ethical considerations, you'll be prepared to make informed data-driven decisions in real-world scenarios. This course emphasizes hands-on learning with practical examples and real-world applications to enhance your understanding of data science. You'll learn how to apply machine learning techniques to real-life problems and refine your coding and statistical skills. What makes this course unique is its balance of theory and practice, combining foundational concepts with modern advancements in data science, including ethical issues related to AI. You'll work on actionable case studies that allow you to immediately apply what you learn. This course is perfect for aspiring data scientists who have basic programming or math skills. It is ideal for beginners looking to build a strong foundation in data science. Prior knowledge of Python will be helpful but not necessary.
75/100
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- What the provider tells you
- 39/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- transform raw data into actionable insights
- apply machine learning techniques to real-life problems
- understand ethical considerations in AI
- refine coding and statistical skills
Course objectives
- gain essential skills in data preparation and analysis
- learn about the full data science lifecycle
- work on actionable case studies
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