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Company Training

Training Courses for your employees

Machine Learning, Data Engineering, and Science training from Data Experts

Due to the COVID-19 our training courses will be taught via an online classroom.

Receive training from the best Data Experts and boost the skills of your employees. Our training courses are a great way to increase the knowledge of existing team members, because they mix theory with practical assignments. We offer a blend of standard and custom specializations with a wide variety of engineering, data science, and analytics courses.

Anchormen can cater to every training need – from in-company tailored training for a team to individual courses online or in our offices. We offer personalized advice on which training is the best fit with the knowledge level and needs of your company.

Check out our standard training courses below. Reach out to us if you would like to learn more about our trainings or for a customized offer or advice. 

Company Training Catalogue 2021

Download our training catalogue for a complete overview of all 20+ courses, as well as the 6 available learning paths.

What you can expect in the Company Training catalogue:

  20+ company training courses: Data science, machine learning, engineering, analytics, cloud, programming and more

  Detailed information about each training course and relevant classes as well as general Academy information

  6 Learning paths: Data Science, Machine Learning, Deep Learning,  Time Series, Machine Learning Engineers, and Data Engineering

Download the Company Training catalogue

Academy Catalogue
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Training Courses

Advanced Artificial Intelligence Training

The Advanced Artificial Intelligence training offers a deep dive into Artificial Intelligence from a practical point of view. The lessons presented here focus on general neural networks, deep learning, convolutional neural networks (CNN) and recurrent neural networks (RNN).

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Advanced Machine Learning Training

The Advanced Machine Learning training offers a deep-dive into advanced ML concepts such as Bayesian learning, ensemble models, decision & regression trees, and optimization. The lessons that are presented here focus not only on the mathematical background of those concepts but also on real-life applications.

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Advanced Python Training

The Advanced Python training focuses on Linux Bash scripting, Python programming paradigms such as data types, functions, classes, generator comprehensions, and the Pandas library. The training also covers Linux CLI. After this course, you will be able to quickly handle data sets for ulterior analysis.

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Advanced R Training

The Advanced R training will teach you how to visualize data with R. The lessons that are presented here focus on Linux Bash scripting, basic statistics, and R libraries such as tidyverse for data processing or ggplot2 for visualization.

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Applied Big Data Spark with Python

The Applied Big Data Spark with Python training is an introduction into ML models at scale using Python as programming language. The lessons presented here focus on Spark concepts such as resilient distributed dataset (RDD), dataframes, Spark SQL and advanced machine learning algorithms using the Spark MLlib library.

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Applied Big Data Spark with R

The Applied Big Data Spark with R training is an introduction into machine learning models at scale using R as programming language. The lessons that are presented here focus on Spark concepts such as dataframes and Spark SQL and advanced machine learning algorithms using the Sparklyr library.

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AWS SageMaker Training

This course is a deep-dive into using AWS Sagemaker to build, train and deploy ML models in the AWS Cloud environment. The lessons that are presented here include theory, demos and hands-on exercises.

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Basic Machine Learning Training

The Basic Machine Learning training introduces you to general ML concepts such as supervised vs unsupervised models, classification vs regression models, dimensionality reduction, workflows, cross validation, hyper-parameter tunning, model evaluation, and bias-variance trade-off.

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Cloud Platform Training

The cloud platform training is perfect for everyone that wants to learn about the main cloud providers (AWS, Azure, and GCP) and what are the advantages of cloud vs on-premise data storage.

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Computer Vision Training

The Computer Vision training introduces you to the processing of digital images, and object recognition. The lessons that are presented here go from the classical approach using of Canny Edge Detection to the most recent convolutional net architectures.

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DevOps Training

This DevOps training is an introduction into DevOps technologies such continuous integration/continuous deployment (CI/CD), Docker, and Kubernetes. The lessons that are presented here focus on git and the GitFlow paradigm, managing and building Docker containers, and basic & advanced Kubernetes concepts.

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Natural Language Processing Training

The Natural Language Processing training focuses on NLP applications, models, and algorithms. After this course, you will gain hands-on experience in semi-supervised and unsupervised machine learning methods for NLP as well as theoretical understanding of the concepts and models.

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Python Training

The Python training teaches the basics of the Python programming language, and how to manage Python project environments using Anaconda.

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R Training

The R training aims to give a quick-paced introduction of R, its most relevant features, and basic workflow, including understanding how to apply them.

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Recommender Systems Training

The recommender systems training teaches you about the main filtering models such as content-based, collaborative, and hybrid as well as how to apply them to real business cases. After this course, you will train and evaluate your own recommender system.

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Scala Training

The Scala training is a deep dive into the Scala programming language, which is used for high-quality functional programming applications. The lessons that are presented here focus on general programming paradigms such classes exception handling, design patters, type system and concurrency.

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SQL Training

The SQL training is a deep dive into relational databases. The lessons that are presented here focus on basic concepts behind relational databases, advanced SQL joins and aggregations, ETL (extract, transform, load) processes and BI tools such PowerBI.

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Streaming Big Data Training

The streaming big data training is a deep dive into streaming technologies used for real-time processing applications. The lessons that are presented here focus on Kafka, which provides a scalable solution for decoupling data streams, Spark streaming structured data model, Airflow for scheduling and Data architectures.

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Time Series Anomaly Detection Training

The time series Anomaly Detection training mainly focuses on how to detect anomalies across many time series, such as sensor data or sales data. After this course, you will be able to detect anomalous behavior and predict future data points.

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Time Series Forecasting with Python

The time series forecasting with Python training focuses not only on classical models such as ARIMA but also state-of-the-art models such as Prophet and tRNNs and tLSTMs. After this course, you will be able to predict with confidence time series such as sales, growth rates or number of visitors.

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Time Series Forecasting with R

The time series forecasting with R training focuses on classical models such as ARIMA but as well as state-of-the-art models such as Prophet and tRNNs and tLSTMs. After this course, you will be able to predict with confidence time series such as sales, growth rates or number of visitors.

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