2nd edition

Business Data Science Fundamentals Online Program

Enroll a part time online course that aims to close the gap between business and technical departments, especially deep in advanced Big Data and AI projects.

Gain high levels of confidence in evaluating and managing processes involving huge amounts of data. This flexible and interactive program combines practical self-study and live practice sessions with experienced experts: workshops, events, and career opportunities all designed to boost your career.

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Business Data Science Fundamentals Online Program
Business Data Science Fundamentals Online Program Business Data Science Fundamentals Online Program icon

We’re your perfect match

3 main reasons you should join us

20,000

trained professionals

trained professionals

Talent Garden + Hyper Island The largest player in digital education in Europe

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99%

Placement Rate

Placement Rate

Together, we will plan the best strategy to achieve your professional goals

1,200+

Companies

Companies

that are constantly looking for new talents to add to their teams

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Your future in the field

What is a Business Data Scientist, and what does a Business Data Scientist do?

What is a Business Data Scientist, and what does a Business Data Scientist do?

Business Data Science extends beyond traditional analytics by leveraging state-of-the-art Data Science methodologies and tools in a business contest. Its purpose is to let managers be fully integrated into the Data Science processes, from Python and SQL to Machine Learning design patterns, through advanced Data Storytelling methodologies.

The Business Data Scientist understands enough Data Science to work closely with Data Scientists, effectively connecting a highly technical world with real business problems.

This course is the perfect opportunity to understand the behind-the-scenes of the world of Big Data. You will be using Python as an elective language to understand Data Science processes, being able to interact profitably with the team of data scientists, and technically manage complex data projects as a Business Manager. For each concrete business problem, you will be able to identify the process phases linked to the various data science techniques, understanding how to associate them with the various stages of the ‚design thinking‘ methodology.

By the end of the course you will:

  • Be able to read and write Python code
  • Collect the data through APIs/ scraping
  • Technically understand the structure of a Data Science project
  • Design an Artificial Intelligence process
  • Generate dashboards and effective storytelling from data streams
  • Bridge the gap between business units and technical offices


A certified professional

You will receive a digital certificate on Accredible at the end of the course, which you can directly add to your LinkedIn profile.

Our alumni currently work for:

Accenture
Bmw
Calzedonia
Capgemini
Dentsu
Sketchin
Publicis Sapient
Luxottica
Leroy Merlin
Nestlé
Reply Bitmama
Design Group Italia
EY
Sky
Whirlpool
Sisal
Eni
Huawei
Coca Cola
Pwc

Who is it for?

This course is designed for people with an analytical mindset, a rational approach to problem- solving and some passion for Data Science. Business Data Science is an ideal course for you if you ideally have a basic scientific background as you can get for example from a Master ́s degree in economics, and you are a Project/ Marketing/ Sales Manager who is interested in defining more targeted business data processes and performance management plans. To participate in the course, you ideally have:Š

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  • Passion for numbers and quantitative analysis
  • High curiosity for programmatic reasoning (programming languages)
  • Excellent proficiency in using spreadsheets
  • Strong interest in managing cutting edge enterprise data science projects

Our selection process

How do we guarantee a quality classroom made up of young talents of the same level, able to support each other and grow together? Thanks to our three-step selection process. Let our Orientation & Admission specialists guide you: during the cognitive interview we will help you understand if it is the right path for you and we will evaluate how much you are willing to leave your comfort zone and work as a team to achieve a common goal.

Get Started

Get Started

Enter your data on our website and receive a welcome email with all the info. Please check your spam folder too, just in case!

Fill out the Online Questionnaire

Fill out the Online Questionnaire

You will receive the link to a questionnaire to share more about yourself!

Schedule Your Meeting (Optional)

Schedule Your Meeting (Optional)

Book a meeting with our O&A Specialist and ask any questions you might have. We will know more about your background and motivation.

Done!

Done!

Did you get in? You will receive feedback within a few days after completing all steps of the application process.

talent garden
talent garden

About us

Who better than those who have already experienced it to tell you what it means to attend a Master in Talent Garden? Contact our Ambassadors to find out their success stories, anecdotes and answers to your questions about the Master. Remember that you will also be able to access all the benefits of the Referral Program!

Empower your future today with Business Data Science! That went faster than expected. Looking for a course that fits my needs to learn hands-on online and with people from all over the world, I decided to join the Talent Garden Data Science program. It was simply a must, the holistic approach to data science at the cutting edge in an international environment. The program definitely exceeded my expectations.

Isa Andric

Self Employed @ iSA.DIGITAL

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The course gave me insight into the tools, the possibility of amazing networking, but most importantly, an understanding of different areas of data science spanning from technical to ethical aspects, and all of that starting from zero.

Vanessa Rodrigues

Senior Project Manager @ ABB

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What you’ll learn

You will learn by applying your newly acquired data analysis skills in smaller group projects with your classmates, supported by the experts.

1- From Excel to advanced data manipulation with Python for beginners

By the end of this module, you will be able to identify the data sources useful for the project, to download data in various ways, manipulate them both from a spreadsheet as well as from a dataframe, archive data in various formats for subsequent uses and query a database.

This module will guide you through deciding and designing the most suitable data visualizations for your projects. Starting from principles and best practices, you’ll be able to pick appropriate visual representations, and to combine them in coherent and interconnected views (e.g. dashboards). The integration of different graphs, dashboards, and textual elements will eventually enable you to tell stories using the available data and the results of the analysis performed on them.

According to the available data and the project objectives, you will be able to understand which machine learning algorithms to choose, how to fine tune the hyperparameters in the training phase and how to put them in sequence to solve the business problem.

By the end of this module, for each concrete business problem, you will be able to identify the process phases linked to the various data science techniques, understanding how to associate them with the various stages of the ‘design thinking’ methodology.

Faculty

Scientific coordinator
Alessandro Chessa
CEO | Linkalab

Business managers cannot wait Data Scientists to cope with the AI market, they need themselves to deeply understand Data Science to act strategically.

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Faculty Member
Glauco Mantegari
Head of Data & Analytics | Motion Analytica

Glauco Mantegari works at the intersection of data, design, and the humanities. After completing his PhD in the Information Society, he worked on projects with academic and business partners in data science, data visualization, and digital humanities. Currently, he is an Adjunct Professor of Digital Communication at the University of Milan Bicocca, and Head of […]

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Faculty Member
Bruno Gonçalves
Vice President | JPMorgan Chase & Co.

Bruno Gonçalves is a Senior Data Scientist working at the intersection of Data Science and Finance. Since completing his PhD in the Physics of Complex Systems in 2008 he has been pursuing the use of Data Science and Machine Learning to study Human Behavior. Using large scale crowdsourced datasets from social media like Twitter and […]

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talent garden
talent garden

Live the Talent Garden Experience

A unique method

We believe that the only real way to learn how to do things is to do them, and surround yourself with dynamic and creative people.

Continuous learning
You will be included in our Community on Slack with over 5,000 digital professionals, where you can build professional relationships, find business opportunities, share contacts and have daily updates.

Networking
You will be able to participate in dedicated workshops to stay up-to-date, as well as get up to 15% discount on our Masters or Bootcamps and Desks, in case you need a workstation.

Community
Every week you will receive job offers from companies in our network.

Partnership
Reserved community discounts (Dott, Qatar Airways), free tickets to international events, access to mentorship programs for startups (Google 4 startups, Vento Venture Originator), invitations to contests and hackathons.

Dedicated learning manager who will guide and support you throughout your journey in Talent Garden.

Join an International Community

You will immediately feel immersed in the dynamic world of digital. You’ll meet and get to know top digital professionals, and you’ll also grow through relationships with the:

Faculty
the faculty are real experts in the field;

Students
are selected to be able to bring Peer 2 Peer growth;

Taggers
are part of realities of the growing digital world;

Alumni
are now established digital professionals working in renowned companies.

Financial Contributions

We believe in personal merit and reward it! Together with our partner companies, we offer one full scholarship* to help a young talent who wants to become a digital professional.

To apply for a scholarship, you must participate in the Scholarship Challenge. You will receive the project brief in the feedback email from the Orientation & Admission team member, and you have to submit it back within the given deadline.

The Scholarship Challenge is available until August 5th. Applications made after this date won’t be eligible for a scholarship. The scholarship winner will be announced on August 12th, 2022.

*The 700 EUR enrolment fee applies to the full scholarship holder.”

No one should miss out on great opportunities – especially when it is education!

Bank Austria offers a free student account for students up to 30-years- old who are EU citizens residing in Austria, with a credit line option of up to 3.000 EUR (subject to a feasibility check).

For applicants from Italy: we also have an agreement with Intesa Sanpaolo Prestito per Merito, to offer students enrolled in full-time and part-time programs a personal loan service with favourable conditions.* This way, you don’t have to worry about finances during the course and can start paying back the loan afterwards!

* Up to 15.000 EUR if you are a full-time Bootcamp student, up to 10.000 EUR if you are a part-time Bootcamp student. Contact us for more details.

AMS customers have the option of receiving funding for our courses on an “individual cost basis”. We provide you with a cost estimation for the desired course and then you can clarify with your AMS advisor whether funding can be provided in your individual case.

You can benefit from a full or partial sponsorship from your employer to participate in this program. 30% of our students cover the costs of the course through corporate funding. If you want to be one of them, check out our blog for tips on how to convince your company to invest in upskilling you!

Terms of payment

  • Instalments Plan

    You don’t have to pay all at once. The course fee can be divided into three separate instalments, and the sooner you sign up, the less you pay!

    Payment Plan*:
    700 EUR (registration fee) upfront and two instalments of:

    690 EUR (SUPER EARLY BIRD)
    790 EUR (EARLY BIRD)
    990 EUR (FULL RATE)
    Please note that an administration fee of 100 EUR will be added to the instalments paid after the course starts.

Questions or doubts?

Don't worry, we have the info you were looking for: here are the most common questions:

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