Intro to Data Analysis
list 6 séquences
assignment Niveau : Introductif
chat_bubble_outline Langue : Anglais
card_giftcard 0 point
Envie de partager ce MOOC dans votre entreprise ?
My Mooc
For Business
- /5
Avis de la communauté
0 avis

Les infos clés

credit_card Formation gratuite

En résumé

This course will introduce you to the world of data analysis. You'll learn how to go through the entire data analysis process, which includes: * Posing a question * Wrangling your data into a format you can use and fixing any problems with it * Exploring the data, finding patterns in it, and building your intuition about it * Drawing conclusions and/or making predictions * Communicating your findings You'll also learn how to use the Python libraries NumPy, Pandas, and Matplotlib to write code that's cleaner, more concise, and runs faster. This course is part of the [Data Analyst Nanodegree](

more_horiz Lire plus
more_horiz Lire moins

Le programme

Lesson 1: Data Analysis Process

In this lesson, you will learn about the data analysis process, which includes posing a question, wrangling and exploring your data, drawing conclusions and/or making predictions, and communicating your findings. You will complete an analysis of Udacity student data using pure Python, with minimal reliance on additional libraries.

Lesson 2: NumPy and Pandas for 1D Data

In this lesson, you will start learning to use NumPy and Pandas to make the data analysis process easier. This lesson focuses on features that apply to one-dimensional data. You'll learn to use NumPy arrays, Pandas Series, and vectorized operations.

Lesson 3: NumPy and Pandas for 2D Data

In this lesson, you'll continue learning about NumPy and Pandas, this time focusing on two-dimensional data. You'll learn to use two-dimensional NumPy arrays and Pandas DataFrames. You'll also learn to group your data and to combine data from multiple files.

Final Project: Investigate a Dataset

In the project, you will use NumPy and Pandas to go through the data analysis process on one of a list of recommended datasets.

Les intervenants

  • Caroline Buckey - Before joining Udacity, Caroline worked as a Software Engineer at Quixey, a startup building a search engine for apps. While receiving her undergraduate degree from Carnegie Mellon, she was a TA for six different courses, and that same love for teaching later led her to join Udacity. Outside of work, she likes reading fiction, playing board games, and drinking bubble tea.

La plateforme

Udacity est une entreprise fondé par Sebastian Thrun, David Stavens, et Mike Sokolsky offrant cours en ligne ouvert et massif.

Selon Thrun, l'origine du nom Udacity vient de la volonté de l'entreprise d'être "audacieux pour vous, l'étudiant ". Bien que Udacity se concentrait à l'origine sur une offre de cours universitaires, la plateforme se concentre désormais plus sur de formations destinés aux professionnels.

Vous êtes le concepteur de ce MOOC ?
Quelle note donnez-vous à cette ressource ?