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Python for Data Analysis

Learn how to use Python to wrangle data with instructor Zane Goodman. This beginner-friendly course covers key tools like NumPy and Pandas to help you turn raw data into insights.

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Python for Data Analysis
  • Course Info
  • Instructor
  • What to know beforehand
  • System Requirements

Course Description

In this course, instructor Zane Goodman introduces you to the basics of Python. Quickly moving into the core tools and techniques used to ingest, write, clean, and analyze data with Python. Whether you're a beginner or looking to expand your skills, this course provides a hands-on approach to working with real data using one of the most popular programming languages in the world. You'll explore how to use Python libraries like NumPy and Pandas - the powerhouse of data manipulation in Python. You'll ingest, clean, join, group, and aggregate data. Along with an introduction to visualizing data with Matplotlib and Power BI. With practical examples and clear guidance, this course is perfect for learners who want to turn raw data into something meaningful.

Course Outline ( Free Preview)

Module 00 - What You Need to Get Started

Module 01 - Setup

Module 02 - Python Language Basics 102 min.

Module 03 - NumPy Basics 40 min.

Module 04 - Pandas Basics 68 min.

Module 05 - Data Loading and Storage 33 min.

Module 06 - Data Wrangling 104 min.

Module 07 - Working With NULLs 29 min.

Module 08 - Visualize Data with Matplotlib 30 min.

Module 09 - Python in Power BI 16 min.

This course includes:

  • 7+ hours of training
  • 10 Modules
  • Beginner level content
  • Access on mobile and browser
  • Certificate of Completion
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