Datascience-enthusiast.com Website Review

great things about and hints on hortonworks apache spark certification. Using amazon relational database service with python and r. utilizing sparkr in R Studio using hadoop set up on aws ec2 - Component 2. Using sparkr in R Studio using hadoop set on aws ec2 - Component 1. Incorporating hadoop and bi tools: an*lyzing and visualizing bigdata in tableau using spark. Data visualization with shiny, tableau, bokeh and js libraries. Using postgresql and glistening with a dynamic booklet map: tracking crap cans. Email and text alerts predicated on streaming sensor data. Booklet, plotly and glistening: weather forecasts in the northeast. Interactive visualization with r-shiny versus using tableau: treemaps. Incorporating tableau with janin through r notebooks and shiny for descriptive, inferential and predictive an*lytics. Using activities and modals using datatables for data mining in glossy. Tableau's degree of detail expressions with ep (shiny) - Component 2. Using amazon relational database service with python and r. using postgresql and glistening with a dynamic booklet map: tracking crap cans. An*lytical and numerical solutions, with r, to linear regression issues. Using elasticsearch and also kibana to imagine nyc 311 service asks (> 15 million). Importing data from mysql into elasticsearch to visualize it with kibana. Indexing many pdf files for full-text search utilizing elasticsearch. An*lytical and numerical solutions with r to linear regression issues. Using postgresql and glistening with a dynamic booklet map: monitoring garbage cans