Data Science Fundamentals, Part 2
About this course
Master essential concepts, theory, and hands-on techniques to become an effective data scientist. Guided by real-world case studies and applied Python programming, you'll learn to acquire, analyze, and model complex datasets, drawing actionable insights using industry-standard tools like pandas, NumPy, SciPy, and scikit-learn. Confidently tackle data problems, apply machine learning algorithms, and communicate your findings through compelling visualizations—equipping you with the foundational skills needed for impactful data-driven decision making in any field.
67/100
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- What the provider tells you
- 31/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
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What you'll learn
- acquire and analyze datasets
- model complex datasets
- apply machine learning algorithms
- create compelling data visualizations
Course objectives
- master essential data science techniques
- draw actionable insights from data
- apply industry-standard tools like pandas and scikit-learn
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