Practical Data Analysis with Python and pandas — WalkSelf
4.6 (11) ⏱ 2h 30m 📚 25 lessons 🎧 Audio version

Practical Data Analysis with Python and pandas

Learn to clean, manipulate, and analyze large datasets from scratch, building a solid foundation for a career in data science.

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About this course

Ready to unlock the power of data? Learning to analyze large datasets is a critical skill, and Python with its pandas library is the tool of choice for professionals. This course provides a clear, text-based path to mastering data analysis from the ground up. You will learn to confidently import, clean, transform, and analyze datasets of varying sizes, turning raw information into actionable insights through hands-on exercises. By the end, you'll have the practical skills needed to tackle real-world data challenges. What you'll learn: - Understand core pandas data structures like DataFrames and Series. - Learn to import data from various sources and handle missing or inconsistent values. - Master powerful techniques for filtering, sorting, grouping, and merging datasets. - Apply efficient methods for working with large datasets to optimize performance. - Practice writing clean, readable, and maintainable analysis code using method chaining. - Prepare and reshape data for statistical modeling or other analysis tools. You'll start with the fundamentals of pandas, then move on to practical techniques for data wrangling and analysis. The curriculum is structured to build your skills progressively, from simple operations to complex data transformations. This course is ideal for anyone with a basic grasp of Python who wants to move into the data analysis field. No prior experience with pandas or data science libraries is necessary. Enroll now and start building your professional data analysis skills.

What you'll get

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  • Short & focused
    2h 30m of practical content

Reviews (11)

Дмитрий Попов RU Verified learner
★ 5 · July 22, 2026

Пришёл вообще без опыта, а в итоге спокойно чищу и группирую большие таблицы через pandas. Особенно зашли разделы про обработку пропусков и объединение датафреймов, всё разобрано на живых примерах, а не на абстрактных числах.

Oliver Hughes GB
★ 5 · July 9, 2026

This course finally made pandas click for me by walking through cleaning a genuinely messy dataset instead of a tidy toy example.

Maximilian Schmidt DE Verified learner
★ 4 · July 8, 2026

Der Kurs erklärt das Bereinigen und Zusammenführen großer Datensätze mit pandas wirklich verständlich, auch wenn manche Kapitel für absolute Anfänger etwas schnell vorangehen.

Emiliano Reyes AR Verified learner
★ 5 · July 6, 2026

Este curso me enseñó a limpiar y organizar datasets grandes con pandas de una forma que realmente se entiende, no solo copiando código. El proyecto final, donde armamos todo un análisis desde cero, fue lo que más me ayudó a fijar los conceptos. Ahora me siento mucho más segura trabajando con datos reales y desordenados.

Noah Wilson AU Verified learner
★ 5 · July 2, 2026

Building an actual project from raw, messy data to a finished analysis made pandas finally make sense to me.

Shashemene Chernet ET Verified learner
★ 5 · June 28, 2026

Finally understand pandas thanks to this course.

Camille Petit MC Verified learner
★ 4 · June 14, 2026

Je me suis lancé dans ce cours pour apprendre pandas depuis zéro et j'ai été agréablement surpris par la clarté des explications sur le nettoyage de données. Les exercices avec de vrais jeux de données volumineux rendent les choses beaucoup plus concrètes que de simples exemples jouets. J'ai particulièrement aimé la partie sur la fusion de plusieurs tables, qui était un vrai casse-tête pour moi avant. Le rythme est soutenu mais reste suivable si on prend le temps de refaire les exercices. Mon seul bémol, c'est que la section sur la visualisation aurait mérité un peu plus de temps. Dans l'ensemble, j'en ressors avec des compétences que j'utilise déjà au travail.

Renata Moraes BR Verified learner
★ 4 · June 7, 2026

O curso ensina bem a limpar e organizar datasets grandes com pandas, mas senti falta de mais exemplos sobre desempenho para tabelas realmente enormes.

Marco Rossi IT
★ 4 · June 7, 2026

Partendo da zero sono arrivato a manipolare dataset grossi con pandas senza panico. La parte sulla pulizia dei dati e i valori mancanti è oro, anche se sui merge complessi avrei voluto più esercizi pratici.

Arthur Michel FR Verified learner
★ 5 · June 5, 2026

Ce cours est exactement ce qu'il me fallait pour passer d'un niveau débutant en Python à quelqu'un capable de manipuler de vrais jeux de données sans paniquer. Chaque étape, du nettoyage jusqu'à l'analyse finale, est expliquée avec des exemples qui reflètent vraiment les problèmes qu'on rencontre en entreprise. J'ai adoré construire le projet final étape par étape plutôt que de juste suivre des captures d'écran. La progression est logique et on comprend pourquoi on utilise telle ou telle fonction de pandas, pas seulement comment. Les quelques erreurs volontaires montrées dans les vidéos m'ont beaucoup aidé à comprendre les messages d'erreur que je recevais moi-même. Un des cours les plus solides que j'aie suivis sur le sujet.

علي عبد الله JO Verified learner
★ 5 · May 26, 2026

بدأت بدون أي خلفية برمجية وانتهيت وأنا أنظّف جداول ضخمة بثقة. شرح pandas في تصفية البيانات والتعامل مع القيم المفقودة كان عمليًا وواضحًا، وحسّن مهاراتي كثيرًا.

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