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Data Science Fundamentals, Part 1
Coursera MOOC / Non-credit 0

Data Science Fundamentals, Part 1

About this course

Designed for aspiring data scientists, engineers, and researchers, this hands-on program guides you through the entire data science process—from acquiring and transforming real-world data to building, validating, and deploying machine learning models. Through engaging, example-driven lessons and practical exercises using Python and its robust ecosystem of libraries, you'll gain the essential skills to analyze complex datasets, extract actionable insights, and create impactful data-driven applications—no advanced math or statistics background required.

C

60/100

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What the provider tells you
24/45
Who stands behind it
20/35
How complete the listing is
16/20

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What you'll learn

  • analyzing complex datasets
  • extracting actionable insights
  • building machine learning models
  • deploying data-driven applications
Machine Learning #python #machine learning #data analysis #data transformation #data science #model validation #real-world data #datasets #actionable insights #data-driven applications
$49.00

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