Key Facts:

Format:

In Person

Starts on:

October 6th

Duration:

75 hours | 8 weeks

Program Description:

The amount of data available reached incalculable dimensions with the advancement of the information systems, so it is vital their treatment and analysis to support companies strategic decisions.

This program aims to provide analytics professionals a deeper view and understanding of the concepts and methodologies used in scientific research over large datasets that can be applied and implemented in industry contexts, with direct impact on firms’ performance.

The Business Analytics: Data Science and Big Data program combines theoretical lectures with hands-on sessions. The program is designed to walk participants along the typical phases of a data analytics project, starting with business understanding, followed by data collection and interpreting descriptive statistics, then moving into simple and advanced predictive modelling, to conclude with the design of randomized experiments to try to establish causal effects.

Who is it aimed for:

The ideal students for this program are individuals who have a strong interest in data analysis for business decision making. Requires a background in intro level statistics; basic programming skills (in any programming language) and the understanding of programming concepts such as variables, functions and loops.

Testimonials:

I enrolled in this program, considering that the management and Big Data are paths that converge increasingly in the context of constant change we live, where the amount of data available reached incalculable dimensions and where faster and more accurate decision-making is imperative. The program is very well structured, with a constant concern to associate the concepts we learn with their practical applicability in the business environment and with highly specialized teachers who are committed to sharing knowledge.

The Business Analytics: Data Science and Big Data program in which I had the opportunity to participate is a good example of what the CATÓLICA-LISBON has been able to bring to the training of management boards and a demonstration of the role that the school plays in supporting products and services developed by portuguese companies. A current curriculum where practical cases complement and enrich the theoretical framework with a holistic view of the subjects. Perspectives based on national and international practices. Teachers who combine pedagogical capacity with international experience. And, last but not least, the possibility of being part of an incredible group.

As responsible for an engineering area with very high technological context, information and data analytics is part of the baseline resources for development, automation and efficient rollout of telecommunication networks. The course provided a very concise, clear and practical framework allowing for fast learning and application of bid data concepts and tools. The practical examples and code development were key to consolidate the theoretical concepts which were very well organised and masterly delivered by experienced and very dynamic Teachers. The group was diverse enriching even more this unique learning experience.

Data science and big data are at the heart of the decision-making process for many businesses, helping to drive digital transformation and innovation, boost customer satisfaction and increase revenue. In this intensive program I found a virtuous combination of great academic rigor and an eminently practical component with measurable impact on the business. An excellent teaching staff and class diversity have made this an enriching experience from a professional and personal point of view. Summing up, it taught me how to turn data into competitive advantage.

Key Takeaways:

Understand how to use Big Data Processing Systems (Hadoop, Hive, Spark).

Understand how to use cloud computing infrastructures, replicable in any business context.

Implement the latest theories on data analysis, including the predictive and causal deduction methods.

Use some statistical programming language that allows the company to put into practice the new methods of machine learning and causal modeling (R language).

Understand how to assess companies data assets value and how to measure the effect of every change.

Institutional Testimonials:

Data Science is transforming how managers make decisions in every industry. It will be essential for tomorrow’s business leaders to learn the language of technologists in order to translate data driven results to action. Developing true data science expertise can only happen through focused hands on experience with very large data and access to real-world problems. The role of the data scientist requires both hard and soft skills - the ability to crunch numbers with the best algorithms, stats and experiments while being able to ask the right questions and communicate results to senior leadership.

In a world that increasingly depends on large-scale data analysis capabilities, the development of skills in Big Data is essential to the success of any data scientist, data analyst or executive who wants to be ready to face one of the most critical needs of any company. I congratulate CATÓLICA-LISBON for the strategic ability to frame their education with genuinely relevant topics of our time.