thedatascientist.com Open in urlscan Pro
46.101.94.175  Public Scan

Form analysis
2 forms found in the DOM

Name: New Form — POST

<form class="elementor-form" method="post" name="New Form">
  <input type="hidden" name="post_id" value="13431">
  <input type="hidden" name="form_id" value="66aad97">
  <input type="hidden" name="referer_title" value="TDS – Online AI &amp; data science courses | tokenomics consulting - The Data Scientist">
  <input type="hidden" name="queried_id" value="13431">
  <div class="elementor-form-fields-wrapper elementor-labels-above">
    <div class="elementor-field-type-text elementor-field-group elementor-column elementor-field-group-name elementor-col-100">
      <label for="form-field-name" class="elementor-field-label"> Your E-mail </label>
      <input size="1" type="text" name="form_fields[name]" id="form-field-name" class="elementor-field elementor-size-sm  elementor-field-textual">
    </div>
    <div class="elementor-field-group elementor-column elementor-field-type-submit elementor-col-100 e-form__buttons">
      <button type="submit" class="elementor-button elementor-size-md">
        <span>
          <span class=" elementor-button-icon">
          </span>
          <span class="elementor-button-text">Register</span>
        </span>
      </button>
    </div>
  </div>
</form>

<form class="stretch mx-2 flex flex-row gap-3 last:mb-2 md:mx-4 md:last:mb-6 lg:mx-auto lg:max-w-2xl xl:max-w-3xl">
  <div class="relative flex h-full flex-1 items-stretch md:flex-col">
    <div>
      <div class="h-full flex ml-1 md:w-full md:m-auto md:mb-4 gap-0 md:gap-2 justify-center">&nbsp;</div>
    </div>
  </div>
</form>

Text Content

Skip to content

The Data Scientist

Menu

 * Services
   * Data Science Courses
   * Tokenomics
 * About Us
   * Events
   * Dr Kampakis
 * Blog
 * Write/Advertise
   * Advertise with us
 * Contact Us

Menu

 * Services
   * Data Science Courses
   * Tokenomics
 * About Us
   * Events
   * Dr Kampakis
 * Blog
 * Write/Advertise
   * Advertise with us
 * Contact Us

Menu

 * Data science
   * Data science and AI for decision makers
 * Artificial Intelligence
   * Cyber Safety
   * AI & Marketing
 * Machine learning
 * Blockchain
 * Technical Posts
   * WebDev
 * Podcasts
 * Education

AI & Data Science

News | Courses | Services 

I help executives, entrepreneurs and aspiring data scientists 

learn and use data science, AI and blockchain


AI & DATA SCIENCE
COURSES




DATA SCIENCE
SERVICES

I help executives, entrepreneurs and aspiring data scientists learn and use data
science, AI and blockchain

250+

Completed Projects

100+

Satisfied Clients

500+

Happy Students

50+

Token Economies
Designed

250+

Completed Projects

100+

Satisfied Clients

500+

Happy Students

50+

Token Economies
Designed


FEATURED ARTICLES

WHY SHOULD YOU CHOOSE FULL STACK WEB DEVELOPMENT?

>

WHY SHOULD UK BUSINESSES INVEST IN WECHAT?

>

WHY PREDICTIVE MAINTENANCE IS THE NEXT BIG THING IN MANUFACTURING

>

YOU ARE NOT GOOGLE, LINKEDIN OR AMAZON

>

WOMEN IN THE DATA AND TECH SPACE: WHY THE SHORTAGE?

>

WILL BITCOIN EVER BE REGULATED?

>

WHY WE NEED TOKENOMICS?

>

WHY WE NEED GENERAL AI AND WHY WE’RE NOT THERE YET

>

WHY SO MANY STATISTICAL MODELS ARE WRONG

>

WHY SHOULD YOUR BUSINESS CONSIDER THE LATEST SOFTWARE DEVELOPMENT TRENDS?

>

WHY SHOULD YOU CHOOSE FULL STACK WEB DEVELOPMENT?

>

WHY SHOULD UK BUSINESSES INVEST IN WECHAT?

>

WHY PREDICTIVE MAINTENANCE IS THE NEXT BIG THING IN MANUFACTURING

>

YOU ARE NOT GOOGLE, LINKEDIN OR AMAZON

>

WOMEN IN THE DATA AND TECH SPACE: WHY THE SHORTAGE?

>

WILL BITCOIN EVER BE REGULATED?

>


I help identify problems in organisation and fix them using data science and/or
blockchain. My work has helped startups raise more than $20million. I have run
more than 100 successful seminars and talks for the C-level and companies of all
sizes.

I am also an AI educator and mentor, having taught multiple students over the
years, and helping them get jobs. Make sure to check out my course Beyond
Machine.

ABOUT US


WELCOME TO THE DATA SCIENTIST!

I am an expert data scientist, chartered statistician (by the Royal Statistical
Society), AI engineer and blockchain and tokenomics expert. 

Me and my team do the following:

We assist organizations in identifying and solving their problems by leveraging
data science and blockchain technologies.

Data science education with more than 100 happy students and more than 100
successful seminars and talks.

Tokenomics design and audit, specialising in agent based simulations.

DR STYLIANOS KAMPAKIS


LATEST NEWS

THE IMPACT OF FUNNEL CHARTS ON SALES DATA VISUALIZATION

In a fast-paced commercial world…

FCA, STABLECOINS AND THE FUTURE OF UK CRYPTO REGULATION

I had the opportunity recently…

THE RISE OF ARTIFICIAL INTELLIGENCE IN CUSTOMER SERVICE: TRANSFORMING CUSTOMER
INTERACTIONS

Conversational AI, short for Conversational…

PODCAST: PREDICTING THE UNKNOWN – THE HISTORY AND FUTURE OF AI AND DATA SCIENCE

I am…

SIGN UP AND GET A FREE COPY OF THE DECISION MAKER’S HANDBOOK TO DATA SCIENCE!

Your E-mail
Register

Thanks to you and your tokenomics audit we are ready for the launch! it was a
pleasure to work with you!

IGOR POROSHINCEO, ALGEM
Stelios explained technical terms in a simple way that helped understand the
basics of how data science works. We got to see how data scientists think from
their perspective and how we can approach them the right way. I also met a lot
of like minded people who all shared their experiences and approaches. Great
insights!

VANGELIS ANDRIKOPOULOSANALYST AT OUTLIER VENTURES
Stylianos’ workshop was very useful not only in terms of its technical content,
going through an overview of AI, and its applications, but also in practical
terms, explaining how to successfully build, manage and develop an AI team. The
workshop was also an interesting networking opportunity to meet a number of
fascinating individuals.

FRANCOIS CHESNAYDIRECTOR AT SUNHAVEN CAPITAL
He has the unique ability to break down the very complex subject of machine
learning and artificial intelligence for c – level executives with no tech
background. I was able to grasp and fully understand the concepts and their
implementation in my businesses. I have taken the decision and look forward to
working with Stylianos!

IVO GOSPODINOVDIRECTOR AT WINWINNKEEPER
Having access to years of experience in the fields of statistics, business
intelligence, and Machine Learning that Dr Stelios has accumulated is, in it’s
own right, priceless. However, more than any of his knowledge and experience, I
value his eagerness to share them with his students, his openness to be
contacted them and help them comprehend any concepts that they may have problem
grasping.

VALERIO MITSAKISSOFTWARE DEVELOPER
I warmly recommend Dr. Stylianos Kampakis’ workshop on Data Science and AI for
Decision Makers – for a busy exec provides really nice and quick understanding
of the data science needs and strategy of your business! Did many AI readings
before but this worship really drove things home, and theory to practice!!

ELENA MUSTATEACEO AT BOLDHEALTH, FORBES 30 UNDER 30
The collaboration I had with Dr. Kampakis has helped me to advance my career as
a Data Analyst. I have gained a lot of knowledge in the areas of Machine
Learning, Data Mining, and Statistics. Moreover, it has helped me understand how
critical and significant impact Data Analytics can have for the modern business.

ALEXANDROS KLEANTHOUSFREELANCER BUSINESS ANALYST
Cost of the U.S. embassy that hosted our reception: $1 Billion. Price of the
round trip ticket from Pittsburgh to London: $550 (on Wow Air). Value of our
relationship with Stylianos: Priceless! Thanks for everything Stelios!

BRIAN KENNEDYSVP FOR OPERATIONS AND GOVERNMENT AFFAIRS- PITTSBURGH TECHNOLOGY
COUNCIL
I found the “Data Science Workshop for Decision Makers” very helpful in
understanding how data science could be applied in my organisation. From hiring
and managing data scientists, to understanding machine learning use cases, it
was definitely useful!

CHARLES SEKWALORCEO AT MOVEMEBACK
Dr Kampakis’ mentoring has helped me improve the understanding of data science
in so many ways! He also helped me find the right program to apply for to
further improve my knowledge.

SHIVAMM GUPTADATA SCIENTIST
Dr Stylianos helped audit our tokenomics, and improve many aspects of the BankX
token economy. He is clearly an expert in blockchain and digital economies, and
I am very happy to have worked with him.

LANCE PARKERCEO, BANKX TOKEN
Thanks to you and your tokenomics audit we are ready for the launch! it was a
pleasure to work with you!

IGOR POROSHINCEO, ALGEM
Stelios explained technical terms in a simple way that helped understand the
basics of how data science works. We got to see how data scientists think from
their perspective and how we can approach them the right way. I also met a lot
of like minded people who all shared their experiences and approaches. Great
insights!

VANGELIS ANDRIKOPOULOSANALYST AT OUTLIER VENTURES

Previous
Next


WHAT OUR CLIENTS SAY

What is Data Science?

Data Science is a multidisciplinary field that uses various techniques,
algorithms, processes, and systems to extract meaningful insights and knowledge
from structured and unstructured data. It combines elements of statistics,
machine learning, data engineering, and domain expertise to uncover patterns,
make predictions, and support data-driven decision-making.

What is Artificial Intelligence (AI)?

Artificial Intelligence refers to the simulation of human intelligence in
machines. It involves the development of computer systems that can perform tasks
that typically require human intelligence, such as understanding natural
language, recognizing patterns, solving problems, and making decisions. AI
encompasses various subfields, including machine learning, natural language
processing, and computer vision.

How are Data Science and AI related?

Data Science and AI are closely connected. Data Science often serves as the
foundation for AI development. Data scientists use AI techniques to build
predictive models and extract insights from data. AI, in turn, relies on the
data collected and processed by data scientists to make intelligent decisions
and improve its performance.

What are the current trends in Data Science and AI?

The fields of Data Science and AI are continually evolving. Here are some
notable trends that are shaping the industry:

Explainable AI (XAI): With the increasing complexity of AI models, there’s a
growing emphasis on making AI algorithms more transparent and interpretable. XAI
techniques aim to provide insights into how AI models arrive at specific
decisions, making them more trustworthy and understandable.

Ethical AI: Addressing ethical concerns is a top priority. Efforts are being
made to ensure that AI systems are free from bias and discrimination, promote
fairness, and respect privacy. Ethical AI initiatives focus on responsible data
collection and usage.

AI in Healthcare: AI is transforming healthcare by enabling quicker and more
accurate diagnosis, drug discovery, and personalized patient care. AI-driven
solutions assist in medical imaging, drug development, and patient monitoring,
ultimately improving healthcare outcomes.

Edge Computing: Edge computing is becoming increasingly important in AI. It
involves processing data closer to its source, reducing latency and enabling
real-time AI applications. This is crucial for scenarios like autonomous
vehicles, IoT devices, and remote sensing.

Reinforcement Learning: Reinforcement learning is a subfield of AI that’s
gaining traction, especially in decision-making and robotics. It’s used in
training agents to interact with their environments and learn optimal
strategies, making it valuable in areas like autonomous robotics and game
playing.

These trends reflect the dynamic nature of Data Science and AI, with a strong
focus on making AI more responsible, applicable to various domains, and capable
of handling real-time data processing and decision-making. Stay updated on these
trends to remain at the forefront of these rapidly advancing fields.

What are the ethical considerations in AI and Data Science?

Ethical considerations are crucial in AI and Data Science to ensure responsible
and fair practices. Here are some key aspects to consider:

Bias and Fairness: Algorithms can inadvertently inherit biases from training
data. It’s essential to detect and mitigate these biases to prevent
discriminatory outcomes. This includes addressing issues related to gender,
race, and other sensitive attributes.

Privacy: Protecting individuals’ data is paramount. Adhering to data protection
regulations and obtaining informed consent when collecting and processing
personal data is essential. Anonymization and encryption techniques help
safeguard privacy.

Transparency: Transparency ensures that AI and Data Science processes are
understandable and interpretable. This is crucial for building trust and
identifying issues. Explainable AI (XAI) techniques are emerging to make AI
decisions more transparent.

Accountability: Identifying who is responsible for AI decisions and actions is
important. It could be the developers, organizations, or regulators.
Establishing clear lines of accountability helps in addressing issues and
holding parties responsible.

Data Security: Data breaches and misuse can have severe consequences. Robust
security measures must be in place to protect data from unauthorized access and
cyberattacks. Encryption, access controls, and regular security audits are some
of the tools to ensure data security.

By addressing these ethical considerations, AI and Data Science practitioners
can build systems that are more responsible, fair, and trustworthy.

 
 
How can I get started in Data Science and AI?

Starting a career in Data Science and AI is an exciting journey. Here are some
steps to help you get started:

Learn Programming Languages: Python and R are essential programming languages
for Data Science and AI. They offer rich libraries and tools for data analysis,
machine learning, and data visualization. Start with online tutorials or courses
to build your programming skills.

Study Mathematics and Statistics: A strong foundation in mathematics and
statistics is crucial. Concepts like linear algebra, calculus, probability, and
statistical analysis are fundamental to understanding the principles behind AI
and Data Science algorithms.

Explore Online & offline Courses and Resources:

Our online courses offer:

 1. Beyond Machine: For Aspiring Data Scientists

Are you a software developer, scientist, or engineer looking to dive into the
exciting world of data science?

Are you a graduate student with a passion for data and a desire to kickstart
your career in this dynamic field?

Are you a manager seeking to elevate your team’s skills and capabilities in data
science and AI?

Beyond Machine is the answer you’ve been searching for. Our program brings
together the best practices from Massive Open Online Courses (MOOCs), intensive
bootcamps, and the depth of university courses, creating a one-of-a-kind
learning experience that seamlessly combines online and in-person education.

In this comprehensive course, I share over a decade of my personal experience in
data science to provide you with a program that offers unparalleled depth,
breadth, and flexibility, all at an unbeatable price. Unlike large corporations,
we focus on maintaining small class sizes to prioritize quality over quantity,
ensuring you receive the individual attention you deserve.

Additionally, our program includes personalized mentoring directly from me, and
we provide support in your job search to help you secure your dream position in
the data science field.

Take the first step towards an exciting career in data science – get in touch
with us today to discover how Beyond Machine can empower you to succeed!

Work on Personal Projects: Apply your knowledge by working on personal Data
Science and AI projects. This hands-on experience is invaluable and allows you
to build a portfolio to showcase your skills to potential employers.

Join Communities and Attend Conferences: Engage with the Data Science and AI
community. Participate in online forums, attend local meetups, and consider
joining platforms like GitHub, where you can collaborate on open-source
projects. Attend conferences and workshops to stay updated on industry trends.

2. Tesseract Academy: Data Science For Executives

At Tesseract Academy, we specialize in providing education, consulting, and
implementation services tailored for non-technical decision makers and
businesses. Our primary objective is to empower leaders with the knowledge and
capabilities to harness cutting-edge technologies such as AI, data science, and
blockchain, and guide them through the process of practical implementation.

If you fall into any of these categories:

 * An entrepreneur with a vision for the future.
 * A forward-thinking leader committed to staying at the forefront of
   innovation.
 * A manager seeking to incorporate advanced technologies into your business.
 * Someone who’s genuinely interested in AI or blockchain but may not have a
   technical background.

Tesseract Academy is your destination. Elevate your skills and knowledge with
our comprehensive data science courses, meticulously designed to cater to the
specific needs of non-technical professionals. We provide the essential insights
and expertise required to navigate the realms of data science, AI, and
blockchain confidently.

Join us at Tesseract Academy, where you’ll gain the expertise to make informed
strategic decisions and steer your organization toward a future empowered by
data-driven innovation.

Can you recommend books on Data Science and AI?

 1. THE DECISION MAKER’S HANDBOOK TO DATA SCIENCE: A GUIDE FOR NON-TECHNICAL
    EXECUTIVES, MANAGERS, AND FOUNDERS

Data science is expanding across industries at a rapid pace, and the companies
first to adopt best practices will gain a significant advantage. To reap the
benefits, decision makers need to have a confident understanding of data science
and its application in their organization. It is easy for novices to the subject
to feel paralyzed by intimidating buzzwords, but what many don’t realize is that
data science is in fact quite multidisciplinary—useful in the hands of business
analysts, communications strategists, designers, and more.

With the second edition ofThe Decision Maker’s Handbook to Data Science, you
will learn how to think like a veteran data scientist and approach solutions to
business problems in an entirely new way. Author Stylianos Kampakis provides you
with the expertise and tools required to develop a solid data strategy that is
continuously effective. Ethics and legal issues surrounding data collection and
algorithmic bias are some common pitfalls that Kampakis helps you avoid, while
guiding you on the path to build a thriving data science culture at your
organization. This updated and revised second edition, includes plenty of case
studies, tools for project assessment, and expanded content for hiring and
managing data scientists

Data science is a language that everyone at a modern company should understand
across departments. Friction in communication arises most often when management
does not connect with what a data scientist is doing or how impactful data
collection and storage can be for their organization. The Decision Maker’s
Handbook to Data Science bridges this gap and readies you for both the present
and future of your workplace in this engaging, comprehensive guide.

What You Will Learn

 * Understand how data science can be used within your business.
   
 * Recognize the differences between AI, machine learning, and statistics.
 * Become skilled at thinking like a data scientist, without being one.
 * Discover how to hire and manage data scientists.
 * Comprehend how to build the right environment in order to make your
   organization data-driven.

 1. BUSINESS MODELS IN EMERGING TECHNOLOGIES: DATA SCIENCE, AI, AND
    BLOCKCHAIN PAPERBACK

This book is a practical guide to two of the most important emerging
technologies: data science/AI and blockchain.

The world of technology progresses so quickly that we often don’t realize how
far we’ve come. Over the last 20 years, technologies like data science,
artificial intelligence, the Internet of Things, and blockchain have transformed
the world of business, industry, and society.

These emerging technologies offer a wide range of opportunities. However, they
also create new challenges businesses must face, such as developing new business
models, and discovering the best adoption strategies.

This book is a practical guide to two of the most important emerging
technologies: data science/AI and blockchain. With broad applicability across
all sectors, decision-makers would greatly benefit from understanding these
fields.

3. PREDICTING THE UNKNOWN: THE HISTORY AND FUTURE OF DATA SCIENCE AND ARTIFICIAL
INTELLIGENCE

As a society, we’re in a constant struggle to control uncertainty and predict
the unknown. Quite often, we think of scientific fields and theories as being
separate from each other. But a more careful investigation can uncover the
common thread that ties many of those together. From ChatGPT, to Amazon’s Alexa,
to Apple’s Siri, data science, and computer science have become part of our
lives. In the meantime, the demand for data scientists has grown, as the field
has been increasingly called the “sexiest profession.” 

This book attempts to specifically cover this gap in literature between data
science, machine learning and artificial intelligence (AI). How was uncertainty
approached historically, and how has it evolved since? What schools of thought
exist in philosophy, mathematics, and engineering, and what role did they play
in the development of data science? It uses the history of data science as a
stepping stone to explain what the future might hold. 

Predicting the Unknown provides the framework that will help you understand
where AI is headed, and how to best prepare for the world that’s coming in the
next few years, both as a society and within a business. It is not technical and
avoids equations or technical explanations, yet is written for the
intellectually curious reader, and the technical expert interested in the
historical details that can help contextualize how we got here. 

What You’ll Learn

 * Explore the bigger picture of data science and see how to best anticipate
   future changes in that field
 * Understand machine learning, AI, and data science
 * Examine data science and AI through engaging historical and human-centric
   narratives 

Who is This Book For

Business leaders and technology enthusiasts who are trying to understand how to
think about data science and AI

Oder them

I help executives, entrepreneurs and aspiring data scientists learn and use data
science, AI and blockchain

Facebook Twitter Youtube

COMPANY

 * Home
 * About Us
 * Blog
 * How I Can Help You
 * Advertise With Us
 * Contact Us

SOLUTIONS

 * Events
 * Books
 * Data Science, And AI Services
 * Tokenomics
 * Data Science Courses

CONTACT US

 * Where we are

We are based in London, UK but work with clients from all over the world.

 * Give us a ring

+44 7761712921 / Mon – Fri, 8:00-22:00

COMPANY

 * Home
 * About Us
 * Blog
 * How I Can Help You
 * Advertise With Us
 * Contact Us

SOLUTIONS

 * Events
 * Books
 * Data Science, And AI Services
 * Tokenomics
 * Data Science Courses

CONTACT US

 * Where we are

We are based in London, UK but work with clients from all over the world.

 * Give us a ring

+44 7761712921 / Mon – Fri, 8:00-22:00

The Data Scientist, 85 Great Portland St, London W1W 7LT, United Kingdom

Notifications




Subscribe to notifications


AllowCancel