MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
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.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.