Data Science Learning Paths

In our trainings, we introduce the essentials of data analysis and relevant tools for data scientists. During our sessions, we always keep an eye on data-driven use cases. Our modular training concept consists of skill building blocks from introductory to expert level for your individual learning path. We emphasize practical applications and a hands-on approach. Trainings take place in a virtual environment or on-site. Our trainers are senior data scientists with extensive experience in scientific research and industry.

Our TechTrainings are geared towards technical users - data scientists, analysts, engineers - building data-driven innovation hands-on. Our BusinessTrainings provide insights for decision makers - shedding light on how to put data science and artificial intelligence to work in the enterprise.

Tools & Methods

We use our digital laboratory in the cloud, thus each participant can work at his workspace independently while the trainer is presenting. For this purpose, we work in small groups with enough time for practice and provide our specifically developed and well-tested training materials in Jupyter Notebooks.

Data Analysis with Python

DAP

Intensive hands-on introduction to powerful Python analytics tools

Track: Tech
Level: Beginner
Duration: 2 days
Prerequisites: programming skills

Machine Learning with Python

MLP

Get started with machine learning in theory and practice

Track: Tech
Level: Intermediate
Duration: 2 days
Prerequisites: DAP

Deep Learning with TensorFlow

DLT

Deep dive into the fundamentals of deep learning

Track: Tech
Level: Advanced
Duration: 2 days
Prerequisites: DAP + MLP

Machine Learning on Time Series

MLTS

Specialization: analyze, classify and forecast time series

Track: Tech
Level: Advanced Pro
Duration: 2 days
Prerequisites: DAP + MLP + DLT

Data Science, ML & AI for Business

DSB

Help decision makers understand technologies and chances beyond the AI hype.

Track: Business
Level: Beginner
Duration: 1-2 days
Prerequisites: -

Big Data Analysis with PySpark

BDAS

Scale your data analysis to really, really big data

Track: Tech
Level: Intermediate
Duration: 2 days
Prerequisites: DAP

Natural Language Processing with Python

NLPP

Processing and learning from text data

Track: Tech
Level: Advanced
Duration: 2 days
Prerequisites: DAP + MLP + DLT

Individual offer

All trainings can be booked as a single or combined training and tailored to your individual needs. We also offer customized trainings for your requirements, specific use case and target group. Get in touch with us!

Next Trainings

Date Title Abbr. Partner/Location Track Level Days Netto price Book
14.-15.09.2020 Big Data Analysis with PySpark BDAS Heise Events, Remote 2 908,- Book now!
06.10.2020 Data Analysis with Python - Essentials DAP Remote 1/2 free Book now!
06.-07.10.2020 Deep Learning with TensorFlow DLT Experteach, Remote or Frankfurt a.M. 2 1.995,- Book now!
12.-13.10.2020 Deep Learning with TensorFlow DLT TDWI Akademie, Berlin 2 1790,- Book now!
19.10.2020 Wenn es wirklich Big wird – Datenanalyse skalieren mit PySpark BDAS conference: data2day, Remote 1 from 449,- Book now!
03.-04.11.2020 Data Science, ML & AI for Business DSB TDWI Akademie, Dortmund 2 1790,- Book now!
26.-27.11.2020 Machine Learning with Python MLP Experteach, Remote or Frankfurt a.M. 2 1.995,- Book now!
02.-03.12.2020 Data Analysis with Python DAP Heise Events, Remote 2 from 825,- Book now!
08.-09.12.2020 Big Data Analysis with (Py-)Spark BDAS TDWI Akademie, Cologne 2 1790,- Book now!

References & Partners

40+ sucessfully performed trainings with leading companies in mechanical engineering, manufacturing, telecommunication, the energy sector and other fields.