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Python For Kids · Lesson

Data Structures for Data Science

Learn to use Python's core data structures like lists, dictionaries, and NumPy arrays for handling data.

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Data Structures for Data Science

Data structures are crucial for efficiently handling and analyzing data in data science. Python provides several built-in and external data structures, such as lists, dictionaries, and NumPy arrays, that are widely used in data science tasks.

In this lesson, you’ll learn about key data structures for data science and their applications.

Data Structures for Data Science — illustration 1

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Lists

Lists are mutable sequences in Python that can hold a variety of data types. They are used for simple data storage and manipulation.

# Example: Working with lists
my_list = [1, 2, 3, 4]
my_list.append(5)
print(my_list)  # Output: [1, 2, 3, 4, 5]

All lessons in this course

  1. What is Data Science?
  2. The Role of Python in Data Science
  3. Data Structures for Data Science
  4. Data Cleaning and Preprocessing
  5. Exploratory Data Analysis (EDA)
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