-
Data Preparation for Predictive Analytics
This one-day session will expose analytics practitioners, data scientists, and those looking to get started in predictive analytics to the critical importance of selecting, transforming, and properly preparing data ahead of model building.
more
-
Hands-On Data Manipulation and Cleaning in Python
Data manipulation and cleaning in machine learning is estimated to take more than 50% of the time allotted for any given machine learning project. This course will cover topics important in handling structured and unstructured data, scraping data in Python, including using key packages such as Pandas, NumPy, and Matplotlib.
more
-
TDWI Data Quality Management
This course is designed to help your organization better understand and successfully tackle your data quality challenges.
more
-
Introduction to Data Wrangling
This course addresses how to translate the problem statement, identifying data sources, exploring the data for relationships and recognize patterns, identifying the starting inputs for the model, preparing data, and validating it for the model fitting process.
more
-
DataOps: How to Deliver Analytics Better and Faster
DataOps brings together data managers and data consumers through agile data management processes that account for data engineering, integration, data quality, and governance on an open platform that streamlines efficient development, continuous delivery, and overall data unification. While this may sound daunting, this half-day course will help you understand the efficiencies DataOps can deliver for your organization and how to focus on the next steps of your journey.
more
-
Data Science Bootcamp // Data Sourcing and Preparation for Data Science
In this session, we will provide an overview of sourcing and preparing data for data science and predictive analytics projects. We will use a motivating example from the speaker’s work and also touch on how Python, SQL, and Hadoop can be used in the data preparation workflow.
more
-
Supervised Machine Learning: Preparing Data & Deploying Analytic Models for Classification & Prediction
Regression, decision trees, neural networks—along with many other supervised learning techniques—provide powerful predictive insights. These data-driven insights inform the forces shaping your organization’s outcomes.
more