Advanced Data Analytics & Predictive Strategies with R Event, 19.Jan.2026

Advanced Data Analytics & Predictive Strategies with R Event, 19.Jan.2026

Course Description

This intensive 5-day course equips data scientists and analysts with advanced R programming skills for predictive analytics and machine learning. Participants will learn cutting-edge techniques in data manipulation, visualization, and modeling using R's powerful ecosystem. Through hands-on projects and real-world datasets, attendees will gain practical experience in developing sophisticated predictive strategies.

Learning Objectives

  • Master advanced R programming techniques for efficient data analysis
  • Develop and implement complex predictive models using machine learning algorithms
  • Create compelling data visualizations and interactive dashboards with R
  • Apply statistical methods and time series analysis for accurate forecasting
  • Optimize R code for improved performance and scalability

Course Modules

Day 1: Advanced R Programming and Data Manipulation

  • Functional programming in R
  • Advanced data manipulation with dplyr and data.table
  • Efficient memory management and performance optimization
  • Working with large datasets and databases in R

Day 2: Advanced Data Visualization and Reporting

  • Creating complex ggplot2 visualizations
  • Interactive visualizations with plotly and shiny
  • Automated reporting with R Markdown and flexdashboard
  • Geospatial visualization techniques

Day 3: Machine Learning and Predictive Modeling

  • Supervised learning algorithms (Random Forests, SVM, XGBoost)
  • Unsupervised learning techniques (clustering, dimensionality reduction)
  • Model selection, validation, and hyperparameter tuning
  • Ensemble methods and stacking

Day 4: Time Series Analysis and Forecasting

  • Advanced time series modeling with ARIMA and Prophet
  • Multivariate time series analysis
  • Anomaly detection in time series data
  • Long short-term memory (LSTM) networks for sequence prediction

Day 5: Advanced Topics and Real-world Applications

  • Natural Language Processing with R
  • Network analysis and graph analytics
  • Bayesian modeling and inference
  • Deploying R models in production environments

Practical Wins for Participants

  • Develop a portfolio-ready predictive modeling project
  • Create an interactive dashboard for data exploration and visualization
  • Implement a scalable machine learning pipeline for big data
  • Design and deploy a real-time anomaly detection system

IT & IT Engineering
Advanced Data Analytics & Predictive Strategies with R (3290_129129)

Course Code: 3290_129129    Course Date: 19 - 23 Jan 2026    Course Price: 4200  Euro

COURSE DETAILS


City : Amsterdam (Netherlands)

Code : 3290_129129

Course Date: 19 - 23 Jan 2026

The Fess : 4200 Euro