Webinar: Building a Data Science Pipeline by Wolfram Research

Edit

About This Webinar

In this webinar, you will learn the fundamental steps needed to complete a data science project from start to finish. Using a food dataset as a starting point, you will learn how to import, clean up and restructure categorical data. You will then explore the enhanced dataset with statistical analysis, data visualisation and machine learning, concluding the pipeline with a dashboard. Along the way, you will learn how to replace anomalous values, canonicalise data, handle missing values and use machine learning to extract features from data.

Webinar ID

a1aae4852c7b

Agenda

Importing data: summarising, partial extraction, restructuring
Cleaning data: incorrect values, missing or null values, replacement, canonicalisation, anomalies, duplicates
Exploring data: visualisation, statistics
Analysing data: feature extraction, classification, measurements, validation
Communicating results: dashboard building, interpretation

Presenters

Wolfram Events Europe

Maximilien Tirard

Wolfram Certified Instructor and Technical Consultant

First Name*

Last Name*

Your Email*

Organization

Job Title*

Country*

Which best describes you?*

Are you new to Wolfram tech?*

I would like to sign up for Wolfram News to stay up to date with news on the latest technology, events and products from Wolfram.