These are the slides from my talk at Academy Xi on How to Get Started in Data Science and Analytics. On the day, I had the pleasure of having Joel Stein from Precision Sourcing and his team presenting with me. Also, big thank you to Byron Allen for providing valuable content. Finally, thank you yo Academy Xi for hosting us.

1. 1
feliperego.com.au
How To Get Started In Data
Science & Analytics
03 July 2018
FELIPE REGO
DATA SCIENCE & ANALYTICS PARTNER
In partnership with

2. feliperego.com.au
2
What is Data Science & Analytics
Many other definitions exist
“process of collecting, inspecting,
cleaning, transforming and
modelling data with the goal of
discovering useful information,
suggesting conclusions and
supporting decision-making”
“Interdisciplinary field that
(strives to) uses the scientific
method with (either small or big)
data and (some) technology to (try
to) solve a problem or answer a
question”
Sources: Adapted from a variety of sources + based on my own experience

3. feliperego.com.au
3
Upward demand for Data Scientists
Percentage of Matching Job Postings
2017201620152014
0.02%
0.04%
0.06%
0.08%
0.10%
0.12%
0.14%
0.16%
Sources: indeed.com

4. feliperego.com.au
4
Data Science & Analytics skills of the future
Tools and Techniques are no longer enough for a successful analytics professional
Tools
Ability to work with a variety
of popular programming and
business tools
Techniques
Understanding of a variety
of methodologies to carry
out analytics
Tactics
Able to approach, structure
and deliver a data science
and analytics project E2E
Tact
Soft skills to deal with
ambiguity and manage a
variety of stakeholders
The 4 Ts of Data Science Skills
Sources: https://feliperego.github.io/blog/2018/06/25/Four-Ts-Data-Science-Analytics-Skills

5. feliperego.com.au
5
Aligning knowledge with real world challenges
Apply best practices to build, manage and enhance data science capabilities
For more, visit: DASAMATM
- Data Science and Analytics Maturity Assessment Model
Strategy alignment
and executive
sponsorship
Organisation &
Culture
Data acquisition,
storage, governance,
tech stack
Data &
Technology
Investment, talent
mix, experimentation
Talent &
Teams
Specific, measurable
and time-based
Ability to Ask
Questions
Clarity of insight,
accessibility of results
Action-oriented
Storytelling
DASAMATM
Sources: https://feliperego.github.io/blog/2017/11/13/DASAMA-Analytics-Maturity-Model-Survey

6. feliperego.com.au
6
Special Points to Consider in Your Journey
A list of things to pay attention to when pursuing a data science capability
Learn a popular programming tool,
preferably R or Python
Programming
Brush up on inferential stats +
statistical learning methods
Statistics
Not only how to tell a story with data
but actually telling stories (blog)
Write + Tell Stories with Data
Go to meetups, get a mentor,
do courses, data competition
Meet actual people
Sources: Adapted from a variety of sources + based on my own experience

7. feliperego.com.au
7
Special Points From a Recruiter
- Don’t make it about yourself
- You need to be confident in taking a role
What to Ask in Interviews
- What makes you stand out from the crowd?
- FAB - Feature, Achievement, Benefit
USP
- In everyday life you can work on this
- People hire people more than skills
Rapport Building
- Who to use
- We don’t find you a job as such
Recruiters
- People forget how important that is
- Family, friends, mirror
Practice
- Not understanding the audience (waffling/too direct)
- Not preparing
Common interview mistakes
Sources: Kindly provided by Joel Stein from Precision Sourcing -
https://www.linkedin.com/in/joelstein/

8. feliperego.com.au
8
Example: Byron Allen
Byron has successfully shifted his career from Public Relations to Analytics Consultant in a short time
“I'm a data scientist and engineer who is well rounded with a mix
of technical capabilities, business acumen, and communications
skills. Data discovery is important but incomplete without the
architecture to support it, which is why I also have a keen interest in
big data infrastructure along with advanced analytics and machine
learning techniques.
Previously, I had an agency career in marketing communications
and social media for B2B and B2C technology companies. My
experience in communicating campaign results, along with creating
and leveraging data-driven insights to develop tactics and strategies
was the catalyst that started me on my current data science journey.
To truly pursue my aspiration to become a data scientist, I realized
the need to commit 100% and skill up...”
Sources: Kindly provided by Byron Allen - https://www.linkedin.com/in/byronaallen/

9. feliperego.com.au
9
Byron’s Input: His View of The Profession
Byron has kindly provided answers to a few questions since he could not be here
“What is a data science and analytics professional?”
I see three core pillars that need to be successfully navigated - computer science, statistics, and
business knowledge. The skillset is broad but it’s the ability to stitch all three together to deliver insights
or data products that makes our work valuable.
Sources: Kindly provided by Byron Allen - https://www.linkedin.com/in/byronaallen/

10. feliperego.com.au
10
Byron’s Input: His View of The Profession
Byron has kindly provided answers to a few questions since he could not be here
“How did you go about it?”
I took courses, online and in-person, free and paid. I also did a lot of side projects - many failed or never
really took off the ground. Some were successful, but honestly it didn’t matter because I learned a lot
from each of them. The point is, I never stopped learning for one second. We tend to look for magic
beans that reach the heavens overnight, but the truth is you can only be successful if you have
gumption - that’s the key.
Sources: Kindly provided by Byron Allen - https://www.linkedin.com/in/byronaallen/

11. feliperego.com.au
11
Byron’s Input: His View of The Profession
Byron has kindly provided answers to a few questions since he could not be here
“What were the toughest things you had to overcome to get there?”
My career change was admittedly big and relatively fast. It’s something that not everyone understands
or believes is possible. I had to overcome that through doubling down on my education and enhancing
my communications skills.
Sources: Kindly provided by Byron Allen - https://www.linkedin.com/in/byronaallen/

12. feliperego.com.au
12
Byron’s Input: His View of The Profession
Byron has kindly provided answers to a few questions since he could not be here
“What were the easiest things for you?”
It was easy for me to enjoy the process. It’s why I’m here. Learn, build, discover, repeat. That sums up
what I enjoy doing in life and it also is a super concise way of describing data science.
Sources: Kindly provided by Byron Allen - https://www.linkedin.com/in/byronaallen/

13. feliperego.com.au
13
Byron’s Input: His View of The Profession
Byron has kindly provided answers to a few questions since he could not be here
“What should people do in order to get into data science?”
Get your feet wet. See if that passion takes hold - if it does you might be on your way to having some
gumption. Also, don’t forget to explore and have an open mind towards other aspects of the data value
chain. That’s a mistake I’m seeing young data professionals make.
Sources: Kindly provided by Byron Allen - https://www.linkedin.com/in/byronaallen/

14. “Big data is like teenage sex: everyone
talks about it, nobody really knows
how to do it, everyone thinks everyone
else is doing it, so everyone claims
they are doing it...”
Dan Ariely, 2013
14

15. 15
Thank you!
feliperego.com.au
DATA SCIENCE & ANALYTICS PARTNER
FELIPE REGO
03 July 2018
In partnership with

16. feliperego.com.au
16
With an extensive industry experience as well as a deep, technical
analytical expertise, Felipe is often required by marketing, sales,
finance, technology and strategy teams to provide support and to
deliver robust analytical solutions that are easy to use, understand and
implement. Felipe’s unique methodology focuses on a holistic
organisational approach to using data and science to improve
performance and reduce costs.
Felipe helps organisations and teams with Data Science and
Analytics Strategy, Predictive Analytics and Machine Learning
solutions, Data Visualisation and Insights Automation and
Analytical Training and Workshops.
Felipe is also an analytics instructor helping disseminate practical,
actionable analytics and data visualisation techniques in both
classrooms and online settings. Organisations that partner with Felipe
end up with a more engaged workforce and individuals feel more
prepared to step up to their next challenge using data and analytics in
their day-to-day jobs.
When Felipe is not partnering with clients or helping students, he’s an
M.Phil. research candidate in Learning Analytics at the University
of Sydney making sense of students’ digital traces and the role
learning analytics dashboards play in influencing learning outcomes.
Felipe is also a blogger in predictive analytics, statistical learning
and data visualisation. Last year alone, Felipe had over 62,000
visitors to his blog from more than 180+ countries. Some of his articles
have been ranked #1 in google search and referenced by many
sources and leading educational organisations including referrals /
mentions from StackOverflow, Udacity, Western Michigan University,
UC Santa Barbara, Edinburgh Napier University, among others.
About Felipe
Felipe is a leading advanced analytics and
data science partner, helping teams build,
manage and enhance their data science and
visualisation solutions in a strategically-aligned,
commercially-oriented and customer-centred
way.

17. feliperego.com.auCapabilities & Services
17
Felipe helps organisations make
sense of their current analytics
capability and provide them with a
clear roadmap to find future
growth opportunities with a
distinctive balance between
technical know-how and business
experience.
Data Science &
Analytics Strategy
From marketers requiring a robust
segmentation model of their
customers or a recommendation
engine for their products to sales
and finance leaders wanting to
improve their forecasting ability,
Felipe partners with teams to
implement a variety of machine
learning solutions.
Predictive Analytics
& Machine Learning
Felipe partners with teams to help
declutter their data assets and
provide them with scalable,
interactive and actionable data
visualisation solutions. As a
result, organisations become
more transparent and can more
seamlessly monitor their
performance.
Data Visualisation &
Insights Automation
Felipe partners with both
educational institutions and
corporate organisations to help
disseminate practical, actionable
and easy-to-understand data
science, predictive analytics and
data visualisation techniques to
students and staff.
Analytical Training &
Corporate Workshops
Sources: feliperego.com.au/about

18. feliperego.com.auSome of the Brands I’ve Worked With
18
Long-term or ad-hoc consulting and permanent projects with leading brands
Sources: feliperego.com.au/about

19. feliperego.com.auExamples of Consulting Projects
19
Case Studies
Sources: https://feliperego.github.io/cases/

20. feliperego.com.auWhat Some of my Clients Say
20
Testimonials from consulting clients
“We needed someone who could come in and help define and build a cutting-edge analytics solution for customer retention as part of a larger analytics
investment. We at 3P have been laser-focused on our customers and further utilising advanced analytics for that was an easy decision. I was impressed by
Felipe’s self-directed approach. Differently from other data science professionals we worked with, Felipe was really good at maintaining constant
communication with the executive team and stakeholders. He also made sure that the results were easily interpretable for non-technical folks such as product,
sales and design teams. But the most valuable thing for me was that he aligned technical solution to commercial benefits. At the end of the engagement, we
had a clearer picture of the potential benefits of the solution he built which made it easier to adopt."- Simon Perry, Chief Information Officer, 3P Learning, 15
March 2018, Simon was a client of Felipe’s
“Felipe was recommended to us as an experienced analytics expert who, in partnership, communicated technical terms in an easy-to-understand,
business-friendly language. This was part of our recipe for success for winning the project. Felipe brought an impressive knowledge and wealth of experience
which both impressed us and the client. He supported many conversations with the client during the process which helped to confirm why we were the team to
deliver. Not only was the knowledge there but Felipe was hands on in translating the concept and in building the prototypes with us. He was a pleasure to work
with and I would definitely recommend him and his expertise to anyone needing an analytics expert."- Tracy Voong, Data Planning & Strategy Director, The
Works, 15 October 2017, Tracy was a client of Felipe’s
Sources: Felipe Rego’s LinkedIn Profile

21. feliperego.com.auWhat Some of my Clients Say
21
Testimonials from students
“Data Science is one of 21st century digital wonders. Felipe onboards you to the data science with ease and makes you comfortable to start applying data
science from the first day. It was a great workshop.” - Petras Janulevicius VR design & development at Diesel Immersive February 5, 2018, Petras was a client of Felipe’s
“I went to Felipe's intro to data analytics & data science workshop recently at Academy Xi. Felipe teaches with passion and uses plain language so that students
can follow. I picked up useful data analytics skills throughout the 3 hours workshop.” - Sandy Tsui CPA | Business Partner | Data Analytics | Data Visualisation |
Passionate to make an impact January 28, 2018, Sandy was a client of Felipe’s
“Felipe is very efficient at delivering highly technical knowledge. His teaching and mentoring methods are very engaging while also challenging. Felipe's
real-life example approach made the Data Analytics course even more valuable; and provided me with the confidence to incorporate advanced data analysis
into my current job.” - Jose Castell Technical Product Specialist at Roche (Haematology & Urinalysis) February 11, 2017, Jose was a client of Felipe’s
“Felipe was my instructor for one of General Assembly’s Data Analytics courses in 2016. He was a highly effective and engaging teacher who was genuinely
interested in his students. He routinely added more to the course (industry insights, best practices, things books don’t tell you, etc), which was incredibly
valuable and helpful. I especially appreciated how encouraging and responsive he was when students asked unique or challenging questions. That was a very
important point for me because that kind of dialogue keeps me motivated for what’s next. Felipe is a wonderful instructor. I highly recommend him!” - Byron
Allen Data Analysis & Architecture June 30, 2016, Byron was a client of Felipe’s
Sources: Felipe Rego’s LinkedIn Profile

22. feliperego.com.auThought Leadership / Blogging Facts
22
Over +60,000 visitors / year from +180 countries - many content referrals
Example of Facebook Referral by the Western Michigan University
about a blog I wrote on Principal Component Analysis using R
Example of one of my most popular blog posts which has been ranked #1 in google
searches out of more than 9.2 million other similar results
Sources: Google, Facebook

23. feliperego.com.auVideo: Latest Talks + Workshop
23 Sources: Adapted from
https://www.facebook.com/vicinitymarketing/videos/1877089065682753/

24. feliperego.com.auPhotos: Latest Talks + Workshop
24

25. 25
I would love to hear your story, share my
experience and learn about your challenges.
feliperego.com.au

26. 26
FELIPE REGO
DATA SCIENCE & ANALYTICS PARTNER
feliperego.com.au
felipe@feliperego.com.au

27. 27
feliperego.com.au
How To Get Started In Data
Science & Analytics
03 July 2018
FELIPE REGO
DATA SCIENCE & ANALYTICS PARTNER
In partnership with

28. Credits Slide
Microsoft® and PowerPoint® are trademarks
or registered trademarks of Microsoft
Corporation.
© 2015 Google Inc, used with permission.
Google and the Google logo are registered
trademarks of Google Inc.
Google Drive® is a registered trademark of
Google Inc.
Photos in this template were downloaded
from freedigitalphotos.net. Attribution is
located in each slide notes and the Credits
slide.
The Template provides a theme with four
basic colors:
The backgrounds were created by Free
Google Slides Templates.
Vectorial Shapes in this Template were
created by Free Google Slides Templates
and downloaded from FreePik.com.
Icons in this Template are part of Google®
Material Icons and flaticons.com.
Shapes & Icons Backgrounds Images
Fonts Color Palette Trademarks
The fonts used in this template are taken
from Google fonts. ( Trebuchet, Arial)
You can download the fonts from the
following url: https://www.google.com/fonts/ #566579ff #666666ff
#ee795bff #d8d8d8c7
28