Business Data Science Fundamentals Online Program
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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We’re your perfect match
3 main reasons you should join us
20,000
trained professionals
Talent Garden + Hyper Island The leading Digital Skills Academy in Europe
99%
Placement Rate
Together, we will plan the best strategy to achieve your professional goals
1,200+
Companies
that are constantly looking for new talents to add to their teams
Your future in the field
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.
What you will learn
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:
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: - 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
Apply now- Please note that the program is in English, so a proficient knowledge of the language is required
- During the first interview with our team, we will understand if the program is the right choice for you
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
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 Interview
After filling out the questionnaire, book your personal (online) interview 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.
Done!
Did you get in? You will receive feedback within a few days after completing all steps of the application process.
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!
Content of the course
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.
2- 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.
3- 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.
4- 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.
Faculty
Alessandro Chessa
CEO | Linkalab
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.
Scientific Coordinator and Professor of Complex Networks
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 Data & Analytics for a startup, where he designs data strategies and products in partnership with leading telco and financial companies.
Data visualization
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 Wikipedia he has explored applications to Computational Linguistics, Information Diffusion, Behavioral Change and Epidemic Spreading.
From Excel to Advanced Data manipulation
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Financial Options
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 don’t have to pay all at once. The program tuition can be divided into three separate instalments and the sooner you sign up, the less you pay!
Terms of payment
Payment plan
Terms of payment*
Full Rate: 700€ (registration fee) in advance and 2 instalments of 990€ each (Total: 2680€ inlc. VAT).
*Please note that the payment should be completed before the start of the program. If you need support, please feel free to get in touch with your Orientation & Admission Specialist.
Questions or doubts?
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Ci sono dei prerequisiti per frequentare questo Bootcamp?
Non occorrono lauree o conoscenze specifiche, né provenire da determinati background.
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