R – AdvancedHome Training Catalog R – Advanced Analysis Data Science Open Source Short courses On-site courses Remote/Virtual Face-to-face English French Objectives Deepen the tools to represent and manipulate complex data, discover the dplyr and data.table packages to optimize data processing, import data sources (CSV, JSON, XML, SQL), perform a simple or multiple linear regression model with the {stats} package, improve knowledge of graphs and know how to use ggplot2 or plotly. At the end of this training, the participant should be able to import or even merge structured or unstructured data sources, apply advanced processing on quantitative and qualitative data, and build elaborate static or dynamic graphs.a Prerequisites Attended the R: basics training course, or equivalent Pedagogical and technical material and resources Dedicated digital training platform (LMS). Sessions with the trainer, training material in digital format, balance between theoretical and practice, concrete cases. Assessment Practical application and exercises Results & skills expected at the end of the training Deepen the tools to represent and manipulate complex data, discover the dplyr and data.table packages to optimize data processing, import data sources (CSV, JSON, XML, SQL), perform a simple or multiple linear regression model with the {stats} package, improve knowledge of graphs and know how to use ggplot2 or plotly. At the end of this training, the participant should be able to import or even merge structured or unstructured data sources, apply advanced processing on quantitative and qualitative data, and build elaborate static or dynamic graphs.a Program DAY 1 Importing external data sources with the{base}, {foreign} and {haven} packages The tools for optimizing data processing, {data.table} and {dplyr} : Advanced data frame manipulation, Data aggregation, The reshaping, Indexing, The merging of data sources The realization of a simple or multiple linear regression model with the {stats} package: The simple and multiple regression, The testing of regression coefficients, The diagnosis of the model, Point and interval prediction DAY 2 The processing of strings, regex The processing of dates and time series management The functional approach and lazy evaluation The database interface (SQL, NoSQL) The advanced graphical features with the {ggplot2} package: Trellis charts, Statistical distributions, Data presentation with heatmap Building elaborate interactive static or dynamic graphs with the {ggvis} and {plotly} packages Download the full program Duration 14 hours Level Intermediate Audience Anyone wishing to discover the advanced R tools Participants 8 people maximum Please contact us for a personnalized offer. Are you looking for information about a training course? You want to set up a customized training session? Contact our pedagogical team! Notice: JavaScript is required for this content. Upcoming trainings Analysis Modular training course - NVivo Advanced Objectives Discussing with participants on their NVivo practices and deepen the following knowledge and skills: Mastering the NVivo environment. Source management Case management Source coding Queries and matrices Documenting your analysis; memos, annotations and links to. Viewing and exporting Importing and using data from social networks and the web Collaborative work and coding comparison. Please contact us if you would like to have this training course held in English. 13, 14, 16 and 17 June Register Ask for a quote Upcoming trainings Analysis Modular training course - NVivo basics Objectives Understand the role of NVivo in the qualitative analysis process. Understand and master the NVivo environment. Source management Case management Source coding Crossing matrices Documenting your analysis; memos, annotations and links to. 20, 21, 23 and 24 June Register Ask for a quote Previous Next