In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

Master analyzing spreadsheet data with Python. Learn how to manipulate, clean, and visualize data from Excel and CSV files using Python libraries like Pandas, and gain essential skills for data analysis in business and research contexts.

Every database server runs different workloads and queries. You will learn how to analyze query plans and troubleshoot SQL Server performance problems.

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

Learn survey design using common design structures followed by visualizing and analyzing survey results.

Understanding what text means usually requires a human to read and think about the text. This course shows you how to use Amazon Comprehend's machine learning based models to programmatically draw insights and understanding from almost any text.

Analyzing trends and patterns can unlock the power of data. This course will teach you to identify patterns and make informed predictions, enhancing your ability to analyze trends and make strategic decisions based on empirical evidence.

Learn to use the Census API to work with demographic and socioeconomic data.

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

In this course, you will learn how you can leverage the stream of messages from your IoT devices, how to set up analytical pipelines, and how to perform analysis of your IoT data.

Permissions play a key role in guarding user privacy and data for Android apps. This course will give you a deep understanding of how permissions work, how to request permissions, and how to avoid accidental data leaks when using permissions.