Extend your R skills Book now If you’re relatively comfortable with R but find yourself needing to level up your skills this day is for you. Whether you’re hitting in-memory constraints, needing the latest and greatest machine learning algorithm, having to code defensively, or simply needing to get more stuff done, you’ll get a lot from this day of training. This hands-on day will equip you with more tools for performing data engineering and data science in R.

Analysing big data with Microsoft ML Server Book now Microsoft ML Server, a standalone or integrated platform that delivers enterprise scale machine learning capabilities, is a great tool for scaling your ML when you’re facing memory limitations, parallelisation complexities, big data, and operationalising your code. This training course takes you through the capabilities for doing analysis and machine learning primarily in the R language. Overview of the Microsoft data science stack Overview of the Microsft ML Server and getting started Working with out of memory data locally Connecting to external ML Servers Leveraging Spark for ML Working with SQL Server The data science workflow in Microsoft ML Deploying models to SQL Server and APIs This training broadly aligns with the 70-773 Analyzing big data with Microsoft R exam but has a bit more of an emphasis on common requirements and ease of use, versus some of the breadth the exam will expect.

CosmosDB (formerly DocumentDB) is a database as a service product in Azure. This non-relational data base features turnkey scalable geo-distribution, variable consistency models, schema-less writes and multiple query paradigms, but how do you do data science on it? This course will help you understand the core features of CosmosDB: scaling, consistency, replication, geo-distribution, non-relational data and schema-less operation. We’ll also cover focussed techniques to connect from a data science workflow, example service architectures for data science outputs and outline supported compute methods to scale analysis

An introduction to building modern bots and leveraging AI APIs Book now Attend this two day course to get hands-on with building bots using the Microsoft Bot Framework and integrating capabilities like custom object detection, natural language processing, and speech to text capabilities via Microsoft Cognitive Services. Overview of bots and the Microsoft Bot Framework Architecture of a bot Using QnAmaker for simple bots Using LUIS to process interactions Logging and state for your bot Publishing your bot Overview of Cognitive Services Configuring different Cognitive Services Using the Custom Vision API Integrating Cognitive Services into bots What our training days look like We pair up teaching you important theory with practical exercises to get you confident in your use of the conceptual frameworks and tools you’ll be learning.

Data Science the tidyverse way Book now Update your data science skills in R by learning how we use packages from the tidyverse to make our lives significantly easier and quicker. Overview of the tidyverse data science packages Data manipulation Modern sampling strategies Building models Model evaluation Model deployment What our training days look like We pair up teaching you important theory with practical exercises to get you confident in your use of the conceptual frameworks and tools you’ll be learning.

Data Science Fundamentals Book now In this two-day course, we’ll take you from no data science knowledge to understanding the fundamentals and being able to code your own solutions. Using R, we’ll cover everything from the process of doing data science to the details around sampling and model selection. Overview of Data Science Business Understanding Determining the right question to ask and understanding the processe that you’ll be impacting Data Understanding Gathering data and putting it into the right format for later work Data preparation Cleaning up data, joining additoinal datasets, performing feature engineering to improve your ability to generate great data science outputs Modeling Sampling your data and building multiple models to answer your data science question Evaluation Working out which is the best model to meet your needs Deployment Options for getting a model live and things you need to take into consideration What our training days look like We pair up teaching you important theory with practical exercises to get you confident in your use of the conceptual frameworks and tools you’ll be learning.

An introduction to data science using Azure ML Studio Book now Data science is an important skill for organisations in the future. It can be difficult however to invest in lots of data science skills, especially when you just want to try it out on some proof of concept stuff! This one day training course focuses on the data science workflow using Azure ML to end up with working data science prototypes that can be called from all sorts of applications and systems.

Learn R for data analysis Book now Attend this two day course to get hands-on with the R programming language. Learn how to connect to different data sources, wrangle the data into the shape you need, visualise it, and compile everything into reports. Overview of R Working with different data sources Data manipulation fundamentals Data visualisation fundamentals Building basic reports Extending your data manipulation skills Interactive data visualistion Interactive reports What our training days look like We pair up teaching you important theory with practical exercises to get you confident in your use of the conceptual frameworks and tools you’ll be learning.

Learn Natural Language Processing in R Book now Attend this course to get hands-on with doing text analysis in R. We assume you know a bit of R already but we’ll taking you through the principles and techniques for doing text analysis in R, as well as giving everyone copies of the brilliant Text Mining with R book for continued study. Overview of NLP in R Getting data from different sources Wrangling data into a useful format Analysing sentiment Identifying document topics Building a concept of relevancy Visualising text analysis outputs What our training days look like We pair up teaching you important theory with practical exercises to get you confident in your use of the conceptual frameworks and tools you’ll be learning.

The Modern Analyst’s Toolkit Book now If you want to stay current, learn new skills, and boost your productivity then this four-day course is for you. The intensive and practical training will give you a thorough grounding in the Modern Analyst’s Toolkit. You will learn about The latest Excel best practices and skills SQL and database key concepts R for data wrangling, data visualisation, and reporting Python for data wrangling and data visualisation Each day of training will cover one of these four areas, so you have a solid foundation that you can use in your organisation.