link Source: www.udacity.com
list 6 sequences
assignment Level : Introductory
chat_bubble_outline Language : English
card_giftcard 1 point
Users' reviews
-
starstarstarstarstar
0 reviews

## Key Information

credit_card Free access

## About the content

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](https://www.udacity.com/course/data-analyst-nanodegree--nd002).

more_horiz Read more
more_horiz Read less
dns

## Syllabus

### 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.
record_voice_over

## Instructors

• 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.
assistant

## Platform

Udacity is a for-profit educational organization founded by Sebastian Thrun, David Stavens, and Mike Sokolsky offering massive open online courses (MOOCs). According to Thrun, the origin of the name Udacity comes from the company's desire to be "audacious for you, the student". While it originally focused on offering university-style courses, it now focuses more on vocational courses for professionals.

You are the designer of this MOOC?
What is your opinion on this resource ?
Content
5/5
Platform
5/5
Animation
5/5