Skill Path

Analyze Data with Python

Learn to analyze and visualize data using Python and statistics.

Includes Python, NumPy, SciPy, MatPlotLib, Jupyter Notebook, and more.

To start this Skill Path, upgrade your plan.
This skill path includes
4,833 learners enrolled
This skill path includes

  • Skill level

    Intermediate

  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
     
    13 hours

  • Projects

    12

  • Prerequisites

    1 course
     
    We suggest you complete the following courses before you get started with Analyze Data with Python:
    • Learn Python for Data Science

About this skill path

Data is everywhere, and more companies than ever are tracking and analyzing data to inform their decisions. In this Skill Path, you will learn to analyze data statistically and create meaningful data visualizations. You will use industry standard Python libraries including MatPlotLib, NumPy and SciPy. Along the way, you will apply these skills to real-world cases and build your data portfolio. Plus, now you can build your prompt engineering skills and get hands-on experience writing, testing, and refining prompts directly in the course.

Skills you'll gain

  • Describe datasets statistically
  • Communicate insights visually
  • Test hypotheses for significance
  • Run A/B tests from start to finish

Syllabus

8 units • 15 lessons • 12 projects • 11 quizzes
  • 1

    Welcome to the Analyze Data with Python Skill Path

    Get started with the Analyze Data with Python Skill Path.

  • 2

    NumPy: A Python Library for Statistics

    Learn about NumPy, a Python library used to store arrays of numbers, organize large amounts of data, and perform statistical calculations.

  • 3

    Data Visualization with Matplotlib

    Make effective, customized data visualizations in Python with Matplotlib.

  • 4

    Statistics for Data Analysis

    Learn how to calculate and interpret several descriptive statistics using the Python library NumPy.

  • 5

    Hypothesis Testing with SciPy

    Learn SciPy, a Python module for comparative statistics, in order to perform many different statistical tests in code.

  • 6

    Learn How to use AI for Data Analysis

    Learn how to use AI for data analysis.

  • 7

    Analyze Data with Python Portfolio Project

    Create a data analysis project for your portfolio.

  • Certificate of completion available with Plus or Pro

    Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.

The platform

Hands-on learning

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    Codecademy Learner @ USA
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    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

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  • Practice Projects

    Guided projects that help you solidify the skills and concepts you're learning.

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    Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.

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    Earn a document to prove you've completed a course or path that you can share with your network.
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