Business Data Science Fundamentals Online Program
This Part-Time Online Course in Business Data Science aims to bridge the gap between business and technical departments, especially deep in advanced Big Data and AI projects. Through the course, you will gain high levels of confidence in evaluating and managing processes involving huge amounts of data produced by using new technologies.
It is a flexible and interactive program that combines practical self-study and live practice sessions with experienced experts. You will join workshops, networking events, and career opportunity sessions that are all designed to boost your career.
Who is it for?
Our Part-Time Online Course in Business Data Science aims to bridge the gap between business and technical departments, especially individuals working on advanced Big Data and AI projects. The course is designed to train business professionals in evaluating and managing processes involving vast amount of data.
This course is the perfect opportunity to understand the exciting world of Big Data.
Our course is a flexible and interactive 8-week program that combines practical self-study and live project-based sessions with leading industry experts. You will join workshops, networking events and one-on-one mentoring sessions designed to boost your career.
To participate in the course, you should ideally have:
- a passion for numbers and quantitative analysis
- high curiosity for programmatic reasoning (programming languages)
- excellent proficiency in using spreadsheets
- a strong interest in managing cutting-edge enterprise data science projects.
Also, if you are looking for the right course to upskill your employees, feel free to get in touch with us. We will be happy to help you.
Infos & Costs
The Application Process
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
You will receive the link to a questionnaire to share more about yourself!
Schedule Your Meeting (Optional)
After filling out the questionnaire, you can book a meeting with Olta, our Orientation & Admission Specialist. It’s an opportunity for you to ask any questions you might have and for us to know more about your background and motivation.
Did you get in? You will receive feedback within a few days after completing all steps of the application process.
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.
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
Your journey to become a Business Data Scientist
Take a deep dive into the world of Business Data Science. The live sessions are designed as practical and interactive as possible. You will learn by applying your newly acquired data analysis skills in smaller group projects with your classmates, supported by the experts.
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.
Digital Narratives: from Data visualization to storytelling
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.
Artificial Intelligence, visual process design, implementation and execution
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.
Design Thinking for Data Science processes
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.
Alessandro Chessascientific coordinator
Alessandro Chessa, PhD in Theoretical Physics, Adjunct Professor in Data Science at Luiss (Rome, Italy) and Data Scientist in the Luiss Data Lab. He is currently a CEO of Linkalab, a Complex Systems Computational Laboratory, and Scientific Advisor of the Data Science Lab of ENI. He has been a Research Associate at Boston University working on Econophysics. His scientific interests range from applying Quantum Mechanics to the World Wide Web to the study of the Social Graphs of the new communities on the Internet, and Data-Driven Journalism. Recently he has been studying the impact of Artificial Intelligence on human creativity.
Meet Your Faculty
Our faculty members are professionals with many years of experience in leading innovative companies.
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 Data & Analytics for a startup, where he designs data strategies and products in partnership with leading telco and financial companies.
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 Wikipedia he has explored applications to Computational Linguistics, Information Diffusion, Behavioral Change and Epidemic Spreading.
No Ordinary Education
Our course is a flexible, interactive and project-based program that combines practical self-study with live practice sessions led by experienced industry experts.
Take a look at what some of our former students are saying about their learning experience at Talent Garden Innovation School.
Our alumni have gone on to pursue successful careers in Data Science. Read more to find out how our course became a launchpad for their dreams.
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.
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.
Senior Project Manager
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.”
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!
700 EUR (registration fee) upfront and two instalments of:
- 690EUR (SUPER EARLY BIRD)
- 790EUR (EARLYBIRD)
- 990EUR (FULL RATE)
Please note that an administration fee of 100 EUR will be added to the instalments paid after the course starts.
Partner Bank Offer
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.
Funding by the AMS (Available for Austria only)
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.
Let your Company Pay for you
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!
Online Learning Experience
⚡️ Flexible and Interactive Format: With the perfect combination of practical self- study material and live practice sessions, we offer you flexibility and interactivity at the same time. The on-demand lessons are to be studied within a certain time frame according to your availability and preferences, and the live sessions with the experts and classmates guarantee a communicative and engaging environment.
🙃 Self Study Material: To make the most of your time in the virtual classroom, you have to revise the material to self-study in advance. This allows us to focus on discussions to deepen your knowledge and to apply it to case studies and projects. With this methodology called “flipped classroom”, we accelerate your learning curve.
🧠 Experienced Experts: Our instructors are experts in their field and have many years of professional experience. They are chosen not only for their knowledge of the content but also for their passion for teaching and the desire to share their years of professional experience. They firmly believe in learning-by-doing and will never bore you with theoretical lectures.
📈 Project-based Methods: The course is project-based. In the practical live sessions, you will apply your newly acquired skills to a group project. You will work on milestones with your team and get feedback from the experts.
💡 Mentoring Sessions: Each participant has the possibility to schedule one-on-one tutoring and mentoring sessions throughout the course with an expert to get more detailed feedback on the project work and to ask in-depth questions about specific topics.
👥 Collaboration & Peer-to-Peer Growth
You will be continuously encouraged to provide constructive criticism and feedback. Your time with us is an opportunity to learn from others, network and connect with future business partners and friends.
Your Typical Week
Before the week starts, you go through the self-study material, which takes around 2-3 hours for each module.
TUESDAY & THURSDAY
🕕 18:00 – 21:00 Live Session
Start with discussing the self-study material which you went through independently before class with the expert and your colleagues. Then practice, practice, practice! Apply your new knowledge to exercises or your group project. Discuss and debate a case study defined by the expert to get more confident with your newly learned skills.
During the live sessions, you will have three networking experiences. Take the chance to build your professional network! You will meet members of the international Talent Garden community, who might be future partners, customers, colleagues, or friends.
ON TOP SESSIONS
🧑💻 1:1 with Experts
Get some individual support in the optional 1:1 mentoring sessions with instructors. If you have some content questions or you need help with your personal project, our experts are happy to help you. Book your 1:1 slot upon experts’ availability.
📝 Group Project Sessions
Two Thursday evenings will be dedicated to the group project, where you will have a feedback session with an expert (45 min. per group).
The Course in Numbers
hours live teaching and practice sessions
hours on-demand individual lessons
weeks of live teaching and recorded sessions
mentoring sessions with experts
(online) networking events
opportunities to apply your knowledge
Why choose Talent Garden Innovation School
- 8 weeks of practical training that will give you the most in-demand skills currently on the job market
- A flexible and interactive course that combines recorded and live teaching sessions
- 63 hours of teaching sessions (43h live and 20h on-demand lessons)
- up to 3 live teaching sessions per week to meet with experts and classmates
- Exclusive informal evening online events with guest speakers
- The highest-quality learning material directly selected by industry experts (articles, studies, podcasts, videos, etc.)
- Networking with our leading partner companies and ecosystem community
- Apply your acquired knowledge in practical case studies and a group project
- Exclusive virtual events with guest speakers and networking opportunities
- Access to our amazing alumni community, our dedicated Slack channel, all networking events and regular updates on new job opportunities
- Access to all online events and workshops dedicated exclusively to the local and global Talent Garden Community
- All discounts, benefits and events reserved for Talent Garden members, including the use of our internal community platform
- Direct access to our network of innovative coworking campuses across Europe
- The possibility to access our campus during the course for free and get your own workspace after the course at a reduced price
Dive deeper into the world of Business Data Science
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