This one-stop course provides students with well-rounded guidance at the forefront of face analysis, manipulation, and recognition technologies using Python.

This course will teach you all the skills required for the analyze and visualize data section of the PL100 Microsoft Power Platform App Maker course and exam.

This course takes you through the complete lifecycle of a data science project from proposal right through to the approval stage. It provides you with some invaluable insights on stakeholder management during this journey.

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.

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.

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.

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.