The best way to analyze big data may often involve the use of a combination of platforms. This course delves into the integration of Databricks with BI tools such as Power BI, Tableau, and Qlik Replicate to perform business intelligence tasks.

Databricks can be made much easier to adopt if it can be seamlessly integrated into a development environment. This course looks into how this can be accomplished for the SQL Workbench/J client and the Prophecy service.

Create interactive dashboards and data applications using Plotly and Dash, focusing on data visualization and user interaction techniques.

Create interactive dashboards and data applications using Plotly and Dash, focusing on data visualization and user interaction.

This course will teach you how to effectively use interactions in your project. You'll learn UX concepts and task-driven interactions that will provide your data visualization audience with an engaging and meaningful interactive experience.

Parse data in any format. Whether it's flat files, statistical software, databases, or data right from the web.

Level up your machine learning skills with tuning methods, advanced models, and dimensionality reduction.

Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

Learn how to prepare and organize your data for predictive analytics.

Learn to perform linear and logistic regression with multiple explanatory variables.

Learn to perform linear and logistic regression with multiple explanatory variables.

This course covers measures of central tendency and dispersion needed to identify key insights in data. It also covers: correlation, covariance, skewness, kurtosis, and implementations in Python libraries such as Pandas, SciPy, and StatsModels.