Additional Big Data and Analytics Training

Big Data & Analytics - R

R Language Essentials

This hands-on training course teaches technology professionals and data analysts the fundamentals of R programming. Lecture and lab sessions collaborate to cover importing and manipulating various formats of data, data mining techniques, performing predictive analysis and data visualization using R Commander and Deducer.

Upon completion of the course, attendees will be capable of employing data importing techniques, understanding decision trees, random forests, association rule mining, sentiment analysis, and machine learning techniques. Students will learn to manipulate data with functions like grepl(), sub(), and apply(); to apply data visualization for complex plots, implement linear and logistic regression and understanding Anova; to apply predictive analytics and implement R analytics to create business insights.

This is an instructor-led training (ILT) class and is available for onsite and online delivery.

Big Data & Analytics - Solr

Solr Foundation

This training course provides experienced web developers and technical staff with a comprehensive introduction to the Solr search platform. Through a combination of lecture, discussion and labs, students will gain hands-on experience configuring effective search and indexing.

Training begins with basic Solr installation and configuration then introduces attendees to the core search features of Solr. As the course progresses students gain experience with faceting, indexing and search relevance among other features central to the Solr platform. The course wraps up with a number of finishing topics including spell checking, suggestions, Multicore and SolrCloud.

This is an instructor-led training (ILT) class and is available for onsite and online delivery.

Big Data & Analytics - Anaconda

Anaconda Foundation

This hands-on course provides Python developers with a broad introduction to the Open Source Anaconda platform. The core Anaconda tools are covered in detail helping attendees master multiple environments and projects, become familiar with the conda package management system and gain experience adding, removing and updating packages and environments.

Training also provides attendees with an introduction to some of the most popular and useful libraries in the Anaconda toolkit, including scientific computing standards: numpy, scipy, pandas and IPython. Upon completion, programmers will be prepared to begin immediately taking advantage of Anaconda and its vast ecosystem of tools and libraries.

This is an instructor-led training (ILT) class and is available for onsite and online delivery.

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