Packt

Foundations of Data Analysis with Python and Pandas

Packt

Foundations of Data Analysis with Python and Pandas

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Set up Python and Jupyter Lab for data analysis projects

  • Understand and manipulate different data types in Python

  • Create and manage pandas Series and DataFrames

Details to know

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Recently updated!

September 2026

Assessments

5 assignments

Taught in English

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This course is part of the Data Analysis with Pandas and Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 5 modules in this course

This module provides step-by-step guidance on installing and setting up essential tools for Python development, including terminal navigation, package managers, and Jupyter Lab configurations for both macOS and Windows. Learners will gain hands-on experience with setting up their development environment and configuring tools for efficient coding.

What's included

11 videos1 reading

This module covers the fundamental concepts of Python programming, including data types, variables, operators, functions, and data structures. Learners will gain hands-on experience with writing and organizing code, as well as working with built-in and external libraries. The content prepares learners to build structured and efficient Python programs.

What's included

15 videos1 assignment

This module provides a comprehensive introduction to pandas Series, covering creation, manipulation, and analysis techniques. Learners will gain hands-on experience with methods for sorting, filtering, and performing mathematical operations on data. The module emphasizes practical skills for working with structured data in Python for data analysis.

What's included

22 videos1 assignment

This module provides an in-depth exploration of pandas DataFrames, covering how to manipulate, clean, and structure tabular data. Learners will gain hands-on skills in selecting, modifying, and organizing data using various methods and functions. The focus is on practical techniques for managing real-world datasets efficiently.

What's included

19 videos1 assignment

This module teaches learners how to filter and manipulate data using pandas in Python. It covers techniques such as boolean indexing, logical operators, and methods like isin, between, and query. Learners will gain practical skills in data cleaning and preprocessing.

What's included

11 videos1 reading2 assignments

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Instructor

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Packt
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