Data Analytics
Showing 37–48 of 673 results
Analyzing Marketing Campaigns with pandas
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!
Analyzing Police Activity with pandas
Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.
Analyzing Social Media Data in Python
In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Analyzing Social Media Data in R
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
Analyzing Survey Data in Python
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.
Analyzing Survey Data in R
Learn survey design using common design structures followed by visualizing and analyzing survey results.
Analyzing Trends and Patterns in Data with SQL Server
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.
Analyzing US Census Data in Python
Learn to use the Census API to work with demographic and socioeconomic data.
Analyzing US Census Data in R
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.
Applied Machine Learning: Deep Learning for Industry
Discover applied machine learning techniques, focusing on deep learning applications for solving real-world problems in industry settings.
Approaches to Data Enabled Decision Making
This course will teach you how decision-making in an enterprise setting can be grounded in data. Important data-driven decision-making frameworks will be introduced and case studies applying data-driven decision-making will be explored.
Assessing Data Readiness for Generative AI
Generative AI solutions work best when trained on quality data, and there is no better data than the one your organization already has. This course will teach how to assess whether your data is ready for Generative AI.