Engineering and Technology
Explore a variety of datasets, posing and answering your own questions about each. You'll be using the Python libraries NumPy, Pandas, and Matplotlib.
In the course Intro to Data Analysis on Udacity, you will learn about the data analysis process, from posing a question to drawing conclusions and making predictions. You will also learn to analyze Udacity student data using pure Python, with minimal use of additional libraries. The course will teach you how to use NumPy and Pandas to analyze one-dimensional data, including using NumPy arrays, Pandas Series, and vectorized operations. You will then continue to learn about analyzing two-dimensional data, using two-dimensional NumPy arrays and Pandas DataFrames. Additionally, you will learn how to group your data and combine data from multiple files. Finally, you will have the opportunity to apply your skills by investigating a dataset of your choice using NumPy and Pandas.
by Udacity
Explore a variety of datasets, posing and answering your own questions about each. You'll be using t...
by Udacity
Learn the 5 key stages of the data analysis process in this hands-on introduction to data analysis.
by Udacity
Get ready to analyze, visualize, and interpret data! Thought-provoking examples and chances to combi...
by Udacity
Go to the places where big physics discoveries were made in the past and make them yourself. You’ll...
by Udacity
In this short course, learn the fundamentals of MapReduce and Apache Hadoop to start making sense of...
by Udacity
This course will teach you how to start from scratch in understanding and paying attention to what i...
by Udacity
This course will introduce students to the field by covering state-of-the-art modeling, analysis a...
by Udacity
Discover how data visualization can communicate insights far more effectively than text or tables.
by Udacity
Dive into the fundamentals of autonomous databases. Explore the process of planning, implementing, a...
by Udacity
Learn how to distill messy data into meaningful groups with unsupervised machine learning.