Studying for the Amazon Certified Data Analytics - Specialty exam, or need to do Big Data Analytics on AWS? In this course, you’ll learn four Amazon Analytics services—specifically Redshift, Elasticsearch, Kinesis Data Analytics, and Athena.

This course covers the different selection models in Qlik, including the click, legend and lasso selections and the associative selection model, as well as the role of smart search, the Qlik Sense cognitive engine and default and alternate states.

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

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.

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.