Discover how to apply machine learning techniques in marketing analytics, focusing on customer segmentation, prediction models, and data-driven decision-making.

Learn how to use Python to analyze customer churn and build a model to predict it.

Gain expertise in D3.js for data visualization, focusing on advanced techniques and best practices for creating interactive visual representations.

Learn the statistics behind data science, from summary statistics to regression models.

Learn Apache Kafka in a practical/hands-on manner.

Explore big data processing techniques using Apache Spark and Java, focusing on data analysis, manipulation, and real-time data processing.

Gain expertise in Cosmos DB using C#, focusing on both basic and advanced concepts for effective data management in cloud applications.

Gain expertise in data analysis using Python's Pandas library, focusing on data manipulation, visualization, and practical applications.

This course provides a comprehensive beginner through to advanced learning pathway to gain skills in data visualization with both Plotly and Dash in Python.

This course is designed for beginners with little or no knowledge of databases or SQL. It will provide them with a solid foundation to start using PostgreSQL.

Master data visualization using Matplotlib in Python, focusing on creating informative and visually appealing plots and charts.

Measuring Analytics Maturity: What We Know 5 Years In featuring Kathy Koontz at the 2019 Women in Analytics Conference.