Become a data scientist who is better at statistics than any software engineer and better at software engineering than any statistician.
We provide a comprehensive selection of best of breed advanced analytics courses. In these courses, you learn to use advanced methodologies to uncover underlying themes or concepts contained in large document collections, automatically group documents into topical clusters, classify documents into predefined categories, and integrate text data with structured data to enrich predictive modeling endeavors.
Our trainings range from Advanced Analytics fundamental trainings, academic courses to better understand the theory around algorithms, use case based trainings, data science programming courses for Python, Spark, R, and SAS, and partner trainings in cooperation with our partners Deutsche Gesellschaft für Qualität (DGQ), TÜV-Akademie, and KNIME.
FUNDAMENTALS:
- Advanced Analytics Methodologies AAM
- Big Data Fundamentals BDF
- Process Mining Fundamentals PMF
- Train the Trainer TTT
ADVANCED ANALYTICS & ALGORITHMS:
- Supervised Learning Techniques SLT
- Unsupervised Learning Techniques ULT
- Feature Engineering for Data Science FEDS
- Network & Link Analysis NA
- Image Processing & Classification IPC
USE CASES & SOLUTIONS:
- AIoT - DSP meets AI AIOT
- Customer Segmentation Techniques CST
- Aviation Analytics AA
- Uplift Modeling UM
- Campaign Optimization CO
DATA SCIENCE PROGRAMMING:
- Getting started with Python GSWP
- Python for SAS Professionals PFSP
- Getting started with Spark GSWSP
- Getting started with SAS GSWS
- Getting started with R GSWR