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Intro to Data Analysis

Tackle real datasets from day one. With Pandas, NumPy, and Matplotlib, you’ll practice cleaning, analyzing, and visualizing data while learning to ask and answer meaningful questions.

  • Course
  • Intermediate
  • 4.4 (566)
  • Updated: May 14, 2026
Free Course

Intro to Data Analysis

Skills you'll learn

1 skill

  • Linear regression

Prerequisites

0 prerequisites

You will need to be able to communicate fluently and professionally in written and spoken English.

Course Outline

  • 6 lessons

Program Instructors

1 instructor

Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Caroline Buckey

Software Engineer, Google

Caroline Buckey

Software Engineer, Google

Reviews

Average Rating: 4.4 (566 Reviews)

Excellent program with real, hands-on quality. The Data Analyst Nanodegree isn't just theory: every course ends with a practical capstone project where you apply the skills to real, messy data end-to-end. In the Real-World Data Wrangling project, for example, I gathered two datasets through different methods (API and file download), assessed and cleaned quality/tidiness issues, and built visualizations to answer a real research question. That practical, project-based structure is what makes the learning stick. Highly recommended.

Arturo Ramos

Jul 11, 2026

Excellent nanodegree

Juan Pablo Pérez Franco

Jul 3, 2026

Course completed

SYEDA YASMEEN

Jun 23, 2026

This program provided clear and practical insights into stakeholder engagement, which are highly relevant for a Data Analyst role. The concepts on communication, expectation management, and collaboration can be directly applied to improve interactions with cross-functional teams and enhance data-driven decision-making.

Shilpa Shetty

Jun 22, 2026

Very useful

Supritha S Shetty

Jun 22, 2026

Free Course

Intro to Data Analysis

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