Data Analytics Corporate Training

Bespoke Data Science, Data Analysis and Python training courses to suit your corporation’s specific needs.

We provide on-site training for businesses.

Or join us on our classroom-based courses in Moorgate and Monument.

Select the most relevant modules for your business (some examples below).

“I’m writing on behalf of the whole team to say thank you.

Step Function provided a really great teacher who judged the pace perfectly. We got so much out of the course — even people who had never written a line of code before.

Yesterday, we debriefed internally; the ideas were flowing and everyone was able to “talk the same language” in respect of the data challenges / opportunities we face. The team has definitely levelled-up.”

Tom Cohen – Co-Founder and CTO at Popsa

“The teacher was super willing to change the syllabus in response to our questions and the use cases we encounter at work.

We learnt some really useful tips and tricks, despite not being new to Python.”

Lloyds Bank – Data Engineering Team

Example Data Analysis Modules

Module 1 - Data Analysis Fundamentals

AM

From database to knowledge: the data analysis pipeline
Future-proofing your data: the three “normal forms” of database design
Setting up your environment
Procedural vs. declarative programming: Python vs. SQL

Module 2 - SQL

Introduction to SQL: selecting, creating and updating data
Tables vs. views
Joining tables
Handling the messy reality of real-world data
Complex join expressions
Aggregation
Subqueries

Module 3 - Python

Fundamental structures and types
Control flow
Structuring your code
Core libraries: datetime, unittest, Pandas, NumPy
Process automation
Reading from and writing to JSON, CSV, text files

Module 4 - Tableau

Getting your data into Tableau
SQL concepts in Tableau
Preparing your data for visualisation
Powerful story-telling with data: reader-oriented data visualisation

Module 5 - Bespoke Projects

Your staff will create beautiful, intelligent reports from messy, real-world data.
With expert supervision they’ll experience the joys and pitfalls of professional data analysis
Carrying out a project of your choice

Example Data Science Modules

Session 1 - Example Predictive Model

Demonstration
Extending the model
Environment setup
Students replicate the model
Model tinkering

Session 2 - Python Basics & the Environment

Python idioms
Python practice
Further environment setup: Github, virtualenvs etc.
Advanced Python
Advanced Python practice

Session 3 - Machine Learning Basics Theory & Practice

Regression
Classification
Quiz
Revision practical

Session 4 - Data Wrangling

Pandas and raw files
Introduction to relational databases and SQL
SQL exercises
Cleaning messy data
NoSQL: motivation and survey

Session 5 - Clustering and Dimensionality Reduction

k-means
Principal Component Analysis
Gaussian Mixture Models
TSNE

Session 6 - Advanced Machine Learning Concepts

Cross-validation
Bayesian Techniques
Random Forests
Gradient Boosted Trees
Feature Engineering
Regularisation

Session 7 - Building an A/B Testing Framework

Introduction and motivation
The statistics of A/B testing
Building and testing an A/B framework
Other approaches to A/B testing

Session 8 - Deploying Machine Learning Solutions

Production considerations
Case study: building a ML pipeline
Practical: deploying to AWS (Amazon Web Services) Phase 1
Practical: deploying to AWS Phase 2
Hadoop, Spark and other technologies

Course Characteristics

On-site or at the Step Function Classrooms

Choose the class days, duration and frequency that suit you

Own computers required either Macs or Windows based

Suitable for beginners or intermediates

Junior staff up to senior management

Contact us to book your Corporate Training course now