We use cookies to give you better recommendations. By using SkillMe you agree to our use of cookies. Learn more
Login

Description

Source: Udacity
Explore a variety of datasets, posing and answering your own questions about each. You'll be using the Python libraries NumPy, Pandas, and Matplotlib.

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.
Show full description
About
Udacity

Udacity works with industry leading companies to create both free online courses & paid specialized online degrees.

Show more from Udacity
Let’s work together to make SkillMe the
most used & loved code learning hub worldwide!
Marco Bartsch, creator of SkillMe

I am looking for team members, especially with experience in
software dev (backend) or marketing/user growth

Improve SkillMe