Intro to Data Analysis (Udacity)

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.
Syllabus

Lesson 1
Data Analysis Process

• Learn about the data analysis process.
• Pose a question, wrangle your data, draw conclusions and/or make predictions.
• Complete an analysis of Udacity student data using pure Python, with few additional libraries.

Lesson 2
NumPy and Pandas for 1D Data

• Start learning to use NumPy and Pandas to make the data analysis process easier.
• Features that apply to one-dimensional data.
• Learn to use NumPy arrays, Pandas Series, and vectorized operations.

Lesson 3
NumPy and Pandas for 2D Data

• Continue learning about NumPy and Pandas, this time focusing on two-dimensional data.
• Learn to use two-dimensional NumPy arrays and Pandas DataFrames.
• Group your data and to combine data from multiple files.

Lesson 4
Investigate a Dataset

• Use NumPy and Pandas to go through the data analysis process on one of a list of recommended datasets.