Alteryx for Data Analysis
In this course, we start by explaining how to import different datasets into Alteryx. By using tools such as data selection, comment and containers, we emphasize the importance of well laid out and correctly labeled workflows.
In this course, we'll dive into the different ways that Alteryx can combine and separate data from various sources.
In almost all projects, we’ll need to perform calculations to manipulate data and facilitate further analysis. In this course we’ll look at the formula tool, which holds many of the in-built calculation functions in Alteryx.
Through this course, analysts will learn more advanced techniques for parsing and manipulating data through Alteryx. Analysts are introduced to the concepts of Fuzzy Matching and Regular Expressions through a series of lessons.
Data visualization and geospatial mapping are increasingly popular business tools. In this course, we'll look at how Alteryx can help analysts convert coordinates into recognizable geospatial data for mapping and analysis.
Through this course, the user will receive a brief background on statistical analysis concepts as well as in-depth training on how to develop models using the linear regression, logistic regression, and cluster analysis tools.
This course looks at the Alteryx time series tools. You’ll use historic data to make univariate and covariate forecasts, and how to compare forecast outputs. Finally, you’ll learn the merits and downsides of customizing the model.
This course looks at predictive modeling in Alteryx. You’ll use sample data to train and validate a predictive model. You’ll see several supervised learning techniques, then export the preferred models and fit them to new data.
In this course, we’ll look at how to apply AB Testing and Market Basket Analysis to gain greater insight into customer behavior and improve the customer experience.
These lessons look at the Alteryx interface tools. You will learn how to design and execute dynamic apps, and create Batch Macros and Iterative Macros. Finally, you will learn how to connect Analytical Applications in series.
In this case study course, we'll leverage Alteryx to integrate a range of datasets from advertising service providers with web analytics and e-commerce data. The output is then analyzed in Tableau to develop several dashboards.
In this course, we will cross-reference information on one website with geo-data available through an API from a different source. Through this case study, we will learn how to investigate websites to find relevant information, manipulate this data using Alteryx tools and integrate multiple sources generate an enhanced dataset.