You don’t build a business. You build people, and people build the business.

Data science is a team sport and needs many people in your organisation to have the required skills. Investing in training your existing staff helps ensure you can get the necessary skill sets whilst being able to build better data products as your people know your organisation and its data.

If one of our bundles doesn’t fit the bill for what you need, we can develop a custom training solution based on our existing training and extend it into specific areas you need covered, or use your organisation’s data to ensure people get practice working with their data.

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Picking the custom content

We offer training in the core competencies of data science. You can pick and choose days of training that build up skills to a given level in a day.

Levels

We try to offer these using “levels”; the higher the level, the more prior knowledge and experience is expected.

• The Foundation level teaches the pre-requisite skills for the field. This is usually a good fit for people who might be cross-training from a non-technical background and need additional concepts they might not yet have gained. It’s also good for people who want to understand the technology but won’t necessarily use the skills.
• The Beginner level is for people who have some technical experience and are looking to acquire initial skills in the field, or might only use the skills irregularly.
• The Intermediate level is for people who have already started building their skills and who are likely to use the skill most days.
• The Advanced level is great for people who will use this skill day to day and find themselves dealing with sophisticated challenges.
• The Executive level isn’t aimed at teaching the skills, and instead focuses on the high-level processes, technology, and managing people who perform this task.

By using levels that take a day, it becomes much easier to build a course that suits your specific needs, at the level you need, and that lasts as long as is required.

Further customisation

If blending existing training isn’t quite right, you can even customise further still.

• Get training that incorporates your organisation’s data
• Get training on topics we haven’t previously offered
• Build training at the module (~2.5 hours) level, if required

Available training

Data wrangling

Area	Foundation	Beginner	Intermediate	Advanced	Executive
Data wrangling in SQL	✓	✓	✓	✓	✓
Building a database for analysis		✓	✓		✓
Data wrangling in R	✓	✓	✓	✓	✓
Data wrangling in Python	✓	✓	✓	✓	✓
Effective Excel	✓	✓	✓	✓
Integrating R and SQL Server	✓	✓	✓	✓
Integrating Python and SQL Server	✓	✓	✓	✓
ETL in R	✓	✓	✓	✓	✓
ETL in Python	✓	✓	✓	✓	✓

Modelling

Area	Foundation	Beginner	Intermediate	Advanced	Executive
The modeling process	✓	✓	✓	✓	✓
Predicting numeric values		✓	✓	✓
Classification		✓	✓	✓
Natual Language Processing		✓	✓	✓
AzureML for data science	✓	✓	✓	✓	✓
Microsoft Cognitive Services in R	✓	✓	✓	✓
Microsoft Cognitive Services in Python	✓	✓	✓	✓
Reproducible analysis in R	✓	✓	✓	✓	✓
Reproducible analysis in Python	✓	✓	✓	✓	✓
Using H2O with R		✓	✓	✓
Using H2O with Python		✓	✓	✓
Using Spark with R		✓	✓	✓
Using Spark with Python		✓	✓	✓
Using Microsoft ML Server		✓	✓	✓

Communication

Area	Foundation	Beginner	Intermediate	Advanced	Executive
Effective Excel	✓	✓	✓	✓
Reproducible analysis in R	✓	✓	✓	✓	✓
Reproducible analysis in Python	✓	✓	✓	✓	✓
Static data visualisation in R	✓	✓	✓	✓
Static data visualisation in Python	✓	✓	✓	✓
Interactive data visualisation in R	✓	✓	✓	✓
Interactive data visualisation in Python	✓	✓	✓	✓
Analytical documents in R	✓	✓	✓	✓	✓
Analytical documents in Python	✓	✓	✓	✓	✓
Dashboards in R	✓	✓	✓	✓	✓
Dashboards in Python	✓	✓	✓	✓	✓
Combining R and Power BI	✓	✓	✓	✓	✓
Combining Python and Power BI	✓	✓	✓	✓	✓

Programming

Area	Foundation	Beginner	Intermediate	Advanced	Executive
R and other programming languages	✓	✓	✓
Integrating R and SQL Server	✓	✓	✓	✓
Integrating Python and SQL Server	✓	✓	✓	✓
Scaling R	✓	✓	✓	✓	✓
Scaling Python	✓	✓	✓	✓	✓
ETL in R	✓	✓	✓	✓	✓
ETL in Python	✓	✓	✓	✓	✓
Reusable code in R	✓	✓	✓	✓
Reusable code in Python	✓	✓	✓	✓
Testing & deploying R code	✓	✓	✓	✓	✓
Testing & deploying Python code	✓	✓	✓	✓	✓
Analytics and Docker	✓	✓	✓		✓
Building databases	✓	✓	✓		✓
Building distributed ETL on Azure	✓	✓	✓	✓	✓
Microsoft Cognitive Services in C#	✓	✓	✓		✓
Managing R infrastructure	✓	✓	✓	✓	✓
Managing Python infrastructure	✓	✓	✓	✓	✓
Managing a data science team	✓				✓

Data science processes

Area	Foundation	Beginner	Intermediate	Advanced	Executive
The modeling process	✓	✓	✓	✓	✓
Managing R infrastructure	✓	✓	✓	✓	✓
Managing Python infrastructure	✓	✓	✓	✓	✓
Managing a data science team	✓				✓

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