In-house training courses in data science, statistical computing, Machine Learning and AI
We provide off-the-shelf and bespoke short, specialised training courses and more comprehensive longer training programmes in many topics and fields of data science (e.g. time series forecasting, geo-spatial modelling), statistical computing, Machine Learning and AI, DevOps, Big Data and Data Engineering with popular open-source programming languages e.g. Python, R, Java, Scala, leading Cloud computing providers (e.g. Amazon WS, Microsoft Azure) and analytical tools/engines (e.g. Databricks, Spark, Hadoop, h2o). Contact us for more information.
Our Upcoming Open-to-Public Data Science & Statistical Computing Training Courses
This Is What Our Clients Said About Our Training Courses
Our In-House Data Science & Statistical Computing Training Courses
From short in-house 3-day bootcamp style training courses to bespoke long-term learning programmes in statistical computing (R, Python, SQL), data science and Big Data tools (Hadoop and Spark) delivered at your business premises.
Whether it’s an unusually large or messy data set, real-time streaming financial/sales data or a complex database, we will help you choose and implement the most effective solutions based on your specific needs and budget limitations.
Independent quantitative data analysis and software engineering services including design and optimisation of Machine Learning algorithms and implementation of cutting-edge Data Mining and AI techniques.
Implement multivariate geo-spatial, temporal and spatio-temporal analytical and predictive models to gain in-depth knowledge and forecast events and behaviours in space and time.
Explore, understand, predict and modulate behaviours of your customers. Make evidence-based decisions to improve customer experience and your operations.
Use statistical and machine learning methods to protect the safety of your data collections. Restrict the access to personal and sensitive data with minimal information loss.