Data Science, Machine Learning, and AI
What you will learn
With the ever-growing importance of Big Data to all business, the role of Data Scientists has never been more relevant. Building a reliable foundation of data for transformational and innovative technologies, like Machine Learning or Artificial Intelligence, is critical for companies wanting to develop better experiences for their customers. Sign up for free access today and sample 7,151 courses, 110+ Practice Labs, and 10+ live online bootcamps across 67 subjects.
Course | 59m 36s
NumPy is a Python library used in data science and big data that works with arrays when performing scientific computing with Python. In this course, you will explore how to initialize and load data into arrays and learn about basic array manipulation operations using NumPy including universal functions, indexing and slicing, array iteration, and array reshaping.
Practice Lab | 8h
Perform data visualization tasks with Python such as creating scatter plots, plotting linear regression, using logistic regression and creating decision tree. Then, test your skills by answering assessment questions after creating time-series graphs, resampling observations, creating histograms and using a grid pair.
Course | 55m 48s
When developing AI application, it is important to play close attention to human-computer interaction (HCI) and design the application for specific users. In this course, you'll learn about HCI studies and how they apply to AI product development. You'll examine HCI history, research trends, and commonly used tools. You'll also learn about identifying potential users, the context of using the application, and creating user tasks and interface mock-ups.