DATA SCIENCE BOOTCAMPPart time (Evening)

DublinTalent Garden Dublin

DATA SCIENCE BOOTCAMP 2

INDEX

The Bootcamp 3

Skills Acquired 5

Lesson Structure 6

Course Content 7

The Faculty 12

More info 14

DATA SCIENCE BOOTCAMP 3

This 18-week project lead syllabus 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 needed to be successful in

data science - coding, maths, data analysis, and working practices.

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. This

lab component puts data science products into production and

gives participants the opportunity to apply techniques to industry

data including census data, satellite imagery, autonomous cars

safety data and sentiments from live social media feeds.

THE BOOTCAMP

Breaking intoData Science

What is it?

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Data science is crucial to modern business and this course 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.

The course 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. Coding is not a

prerequisite as relevant pre-learning materials will be supplied.

THE BOOTCAMP

Why

participate?

Who is this

course for?

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• 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 be

applied to make predictions and able to identify and imple-

ment 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

• Able to show off your portfolio of data science projects

to your next employer

SKILLS ACQUIRED

By the end of this courseyou will be:

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LESSON STRUCTURE

6.15pm Industry facilitator intro, high level recap of previous session 6.30pm Lecture, demonstration and business cases

7.30pm Break

7.45pm Practical Activity

8.45pm AMA “Ask me anything” session with industry facilitator

9.15pm Close

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Course Content

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BRILLIANT BASICS

Brilliant Basics are designed to bring you up to speed quickly on the foundations of Data

Science. It’s impossible to cover everything but we have selected the most valuable areas

with strong business applications. Straight away there is a deep dive into exploring and

interacting with real datasets. We believe in cutting right through the noise and getting to

where the real value is and here you learn about data architecture, context and start testing

with simple data exploration techniques. You navigate existing data science scripts and

understand the basic structures used.

Key subject areas are covered through interactive lectures and hands-on work-

shops on machine learning, defining models and building math foundations. Practical

techniques are demonstrated, from regression to autoencoders.

Brilliant Basics takes an in-depth look at the process of data science and how to build

project management frameworks. Core to any successful data project is how to gather

data requirements and of equal importance is understanding the legal and business con-

text within which it operates.

DATA EXPLORATION

Data Exploration is about getting to know your data. This means connecting to relevant

data sources, cleaning your data and exploring mechanisms for building your domain

knowledge. This also involves understanding how to troubleshoot loading data,

checking values and overall integrity of the data. Also explored is the key soft skills

required to manage stakeholders involved in the data process with established best practi-

ces. Mastering data exploration allows you to deliver real business value. By summarising

and visualising data - producing actionable insights - we can make better decisions, grow

our customer base and evaluate and mitigate against risk. To achieve this you need to learn

DATA SCIENCE BOOTCAMP 9

about core technical topics in greater depth. This module teaches you to draw conclu-

sions using inference - analyse distributions, test hypothesis, as well as setting up

effective simulations and A/B tests.

This leads to building probability distributions, predicting continuous variables and discrete

outcomes, exploring regressions, decision trees, feature engineering (deep learning) and

sampling strategies. With the help of our experts and practical exercises, set up your pro-

blem, determine outcomes, try different models, and interpret your outputs.

DATA VISUALISATION & MODELLING

Today’s enterprises have an enormous amount of data - traditional, structured data, as well

as dark data that enterprises are now lighting up with breakthroughs in natural language

processing, data extraction, and classification technologies.

In this section, learn to visually represent your data compellingly, simplistically and

beautifully. Communicate your insights by exploring best practices in creating visualiza-

tions. Understand theoretical aspects of data visualization and the literature supporting

them. Build your knowledge of tools and libraries such as Charticulator, Data Illustrator and

Blender to efficiently generate and model impactful visuals.

Modelling is about conceptualising complex data objects into a data model. Learn from real

business cases to wow your clients with intuitive models. Monitor and update your mo-

dels, log results, KPIs and build interactive dashboards. Master model maintenance

routines and best practices.

This section also includes a guest workshop from the Irish Centre for High End Computing

(ICHEC) where participants explore neural-net based image classification - how an image

is “seen” by the computer as a numerical matrix. Exploring the idea of convolutions and

illustrating them visually.

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THE BUSINESS OF DATA AND THAT DATA OF BUSINESS - MA-KING IT WORK!

Modelling, math, exploration and key soft skills combine in The Business of Data.

Hone in on niche practical techniques, as well as exploring the business context of the data

science discipline.

This section focuses on empowering you to find the right tools find the tools and data you

need by determining good sources of open and proprietary data. Master APIs - connecting

to them, their limitations and applications. Understand the concept of explainability and

counterfactuals. Learn about the impact of GDPR using case studies and experiment with

the code and tools involved in webscraping.

Explore the career path of a Data Scientist with guest lectures from senior data

scientists from a variety of disciplines. Examine the oversights and underestimations

frequently encountered in the professional environment as well as mitigations and oppor-

tunities to boost your career.

ACTION PROJECT

Put new skills and knowledge into practice. Combine theoretical and action-based

learning approaches to solving real life business challenges. With the support of our faculty,

apply your skills and knowledge in two A-Projects; an individual project taken from your

own work/experience and a group pre-defined project from one of our corporate partners.

Our A-Project is core to the overall philosophy of Talent Garden.

It is designed to enhance your portfolio and enable you to further develop crucial

business and management skills while also providing actionable solutions and

recommendations for implementation.

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Ruth KearneyRuth is an experienced education designer and facilitator

who has delivered a broad range of digital and innovation

programmes to graduate and executive level. She is passio-

nate about action-based learning and what the impact of

enriched learning experiences has on the individual, team

and organisation. Prior to joining Talent Garden as School

Director, Ruth as worked for Trinity Innovation & Entrepre-

neurship Hub and Hothouse Incubator in DIT.

SCHOOL STAFF

Aaron DoranAaron Doran is passionate about helping people reach their

potential. Possessing a PgDip in Adult Learning Theory from

the National College of Ireland, he studied Business with

Psychology prior to entering the learning space. Aaron has

a background leading the L&D function with Dublin NGO,

Focus Ireland. Prior to that, he launched EMEA technical

training at the international technology company, Indeed.

com. Aaron also volunteers with education charities in the

Dublin area.

School Director

Learning Manager

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We are educators who are committed to the

student learning experience and to taking an ‘action

learning’ approach to teaching. We do this through

delivering interactive lectures and practical work-

shops that are grounded in theory but focused on

real-world application.

MEET THE FACULTY

13

TEACHERS

Steph LockeSteph is one of only fifty-eight individuals in the world to be

recognised with Microsoft’s Artificial Intelligence Most Valued

Professional award.She is the founder of Locke Data, a UK-ba-

sed data science consultancy. Steph’s got more than a decade

in both technical and managerial roles around Business Intelli-

gence and Data Science for startups and mature organisations.

She shares this knowledge through her consultancy, her new

Nightingale product, and her technical community work.

Dr. Finn MacleodDr. Finn Macleod is a former mathematician with a PhD

in predictive complexity. He has built, sold and designed

dashboards for clients such as Thomson-Reuters, Formula

1 (via Meshh) and Heineken. Finn and Edward Kibardin (the

ex-chief data scientist of Badoo) partner on the project

DataRefiner, a hybrid tool that uses deep learning and TDA

(topological data analysis) to understand and segment complex

data sets. Finn has also been known to do improv theatre in his

spare time.

Mick Cooney Mick is a quantitative analyst working on data science type

projects in financial services, primarily in insurance. Previously

he developed volatility forecasting models in trading businesses

focusing on North American equity and equity index derivatives.

He advises and assists financial services companies on

managing and implementing data-driven processes within their

organisations. A regular attender of tech-focused Meetups in

Dublin, he gives regular workshops on various statistical and

programming techniques as part of the Dublin Data Science

meetup.

DATA SCIENCE BOOTCAMP 14

Use of laptop for practical work and a passion

for all things data is required.What you need to bring to the class

Talent Garden Innovation

School, DCU Alpha Campus,

Glasnevin, Dublin 11

5,525 €

6.15 - 9.15 pm

6,500 €

MORE INFO

Payment

info

P L A C E

E A R L Y B I R D

T I M E

R E G U L A R

Early-bird discount of 15% available for early bookings

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