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Data Science - Wintersemester 24/25
  • Welcome
  • Whatโ€™s Data Science and How Do I Do It?
    • ๐Ÿ“†Timeline
    • ๐Ÿดโ€โ˜ ๏ธR Overview
      • ๐Ÿ“ฉInstallation
      • ๐Ÿˆโ€โฌ›GitHub Setup
      • ๐Ÿฅ—DataCamp Courses
    • ๐ŸPython Overview
      • ๐Ÿ“ฉInstallation
      • ๐Ÿˆโ€โฌ›GitHub Setup
      • ๐Ÿ“ฆVirtual Environment Setup
      • ๐Ÿฅ—DataCamp Courses
  • Introduction to Your Project
    • About the Project Guide
    • What is this Project About?
  • Exploratory Data Analysis (EDA)
    • Getting started
    • Discovering the Data ๐Ÿ”Ž
      • Initial Exploration Tasks
      • Initial Data Visualization
    • Data Cleaning and Transformation
      • Cleaning the Crime Dataset๐Ÿ‘ฎ๐Ÿผ
      • Cleaning the Weather Dataset๐ŸŒฆ๏ธ
    • Data Visualization
      • Crime Rate Over Time
      • Crime Types
    • Grouping and Merging Data
    • Linear Regression
    • Impress us!
    • Internship Complete!
  • Advanced
    • Introduction
    • K-Means Clustering
      • The Clustering Model
      • Visualize the clusters
    • Impress us!
  • โœ…Exercise Checklist
  • Legal Disclaimer
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  • Part 1: Exploratory Data Analysis (Beginner + Advanced)
  • Part 2: Advanced (motivated Beginner + Advanced)

Exercise Checklist

This checklist should help you keep track of your exercises. Remember that you have to hand in satisfactory solutions of the exercises. If youโ€™re part of the beginner track, this refers to Exploratory Data Analysis (EDA) section only. If youโ€™re part of the advanced track, you have to hand in Exploratory Data Analysis (EDA) section and the Advanced section.

Part 1: Exploratory Data Analysis (Beginner + Advanced)

  • You completed at least 6 courses on Datacamp. โœ“

  • You completed the Exploratory Data Analysis section โœ“

  • You checked that you included everything you coded in the right order and added explanatory comments. โœ“

  • You have all your output in the desired format. โœ“

  • You compared your output with your friends. โœ“

  • You pushed your final work to your GitHub โœ“

Part 2: Advanced (motivated Beginner + Advanced)

  • Everything of the above stated. โœ“

  • In addition you also completed Advanced section โœ“

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Last updated 6 months ago

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