8 Apr 2019

Data Science Bootcamp

Data Science Bootcamp

COURSE

Breaking into Data Science

This 18 week bootcamp teaches you the skills you need to deliver data science projects effectively. The first 12 weeks cover core skills and concepts in data science whilst advancing to topics like deep learning and natural language processing to enable you to meet modern business needs. Every week, you’ll do two evening sessions that blend lecture and labs to ensure you get practical experience that will help you become a successful data scientist.

The course covers the fundamentals that everyone will need in order to be successful in data science – coding, maths, data analysis, and working practices. These are the foundations that data professionals need to succeed. Once the basics are covered participants will take a deep dive into different techniques for arriving at conclusions and making predictions required to tackle a variety of business challenges. The last few weeks of learning will be spent on getting data science products into production and maintaining them – key skills that are hard to find practical advice on.

Who is this bootcamp for?

The bootcamp is ideal for people looking to acquire data science skills - typically IT professionals, business & data analysts, scientists, and software engineers seeking to learn more, upskill and gain competitive advantage from their data.

Why take this bootcamp?

Data science is crucial to modern business and this bootcamp is designed for individuals who want to break into the industry. While the fundamentals of data science are covered, participants benefit from practical industry-led workshops that cover the most popular technologies and platforms (R, Power BI) for data science and their application. Participants get the unique opportunity to work on two real project components; Bring Your Own Data (BYOD) from their own business challenge which they are working on and the second pre-defined data challenge based on external host organisations. This is a great opportunity for individuals to actually deliver predictive models that enable real business value.

Learning outcomes

By the end of this bootcamp you will be:

- Comfortable with a robust data science process and able to implement the process in your own projects

- Able to analyse data using popular platforms (R, Power BI) and produce quality reports and conclusions

- Well-versed in multiple models / algorithms that can applied to make predictions and able to identify and apply the right ones for different data science challenges

- Knowledgeable about techniques for working with and making predictions based on non-tabular data

- Understand deep learning and natural language processing topics and their application

- Apply learning to your own dataset and other pre-defined dataset challenges

- Aware of further resources for continued self-learning

What can I put on my CV after this course?

- Familiar with statistical techniques (such as regression, WOE, cluster analysis, Decision Trees, experimental design)

- Knowledge of Machine learning and Analytics

- Strong SQL skills

- Proficient with scripting languages such as R and Python

- Experience sourcing, manipulating, processing, extracting value (analysing) from large (disconnected) datasets using both structured and unstructured data.

- Experienced with extracting, transforming, and cleansing of data required for modelling

- Experience in statistical analysis, sample sizing, Design Of Experiments (DOE), regression analysis.

- Working knowledge of Hive to perform ad hoc queries of large datasets

- Solid understanding of relational and non-relational database systems

- Proficient with data visualization tools such as Power BI.

- Abreast of upcoming data science tools, trends, and methodologies

- Knowledge of Hadoop and Blender

- Knowledge of cloud development platforms such as Azure or AWS and their associated data science capabilities.