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.

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.

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.

This course covers techniques from inferential statistics, including hypothesis testing, t-tests, and Pearson’s chi-squared test, along with ANOVA, which is used to analyze effects across categorical variables and the interaction between variables.

Data is everywhere and we always hear about statistics, even if we do not realize it! Over this course we will shape up our statistical knowledge; going from zero to hero analyzing complex patterns of everyday real-world problems.

Understand the principles of data analysis, including techniques for data collection, cleaning, and interpretation.

Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

Microsoft Azure provides a set of seamless capabilities for SQL databases. Explore the different database offerings, and services available to help you get started.

Learn about the features and capabilities of Azure Synapse Analytics - a cloud-based platform for big data processing and analysis.