Learn to use modern analytical techniques to find actionable insights from your data. In this course, design a project workflow, handle data from different sources, clean data, analyze data with techniques including machine learning, communicate results.
Summary
Multiparadigm Data Science is a rapidly advancing new way to use modern analytical techniques, automated machine learning and human-data interfaces to arrive at better answers. This course introduces the basic concepts of the multiparadigm approach, demonstrating both the flexible, integrated project workflow and the broad computational toolkit that supports it from start to finish. Discover best practices, exploration techniques and ways to leverage high-level Wolfram Language to get real, quantifiable answers to the full range of data science problems.
Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)
You'll Learn To
Build an end-to-end data science workflow
Wrangle and clean different types of data
Assemble a multiparadigm toolkit for analysis and visualization
Examine and combine data from multiple sources
Perform visual exploratory data analysis
Communicate results effectively with a variety of visualizations and interactive interfaces
Summary
Multiparadigm Data Science is a rapidly advancing new way to use modern analytical techniques, automated machine learning and human-data interfaces to arrive at better answers. This course introduces the basic concepts of the multiparadigm approach, demonstrating both the flexible, integrated project workflow and the broad computational toolkit that supports it from start to finish. Discover best practices, exploration techniques and ways to leverage high-level Wolfram Language to get real, quantifiable answers to the full range of data science problems.
Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)
You'll Learn To
Build an end-to-end data science workflow
Wrangle and clean different types of data
Assemble a multiparadigm toolkit for analysis and visualization
Examine and combine data from multiple sources
Perform visual exploratory data analysis
Communicate results effectively with a variety of visualizations and interactive interfaces
